Compare commits

..

26 Commits
0.3.6 ... 0.3.7

Author SHA1 Message Date
57de19a5ca feat: bump version to 0.3.7 (#540) 2023-07-10 15:23:38 +08:00
7c00a0b6a3 fix voice input in safari (#537) 2023-07-10 10:16:38 +08:00
a93506df18 Fix/dataset clean task (#534) 2023-07-08 17:29:56 +08:00
a03a92e9db Feat/chat support voice input (#532) 2023-07-07 17:50:42 +08:00
feebb5dd1f feat: dataset list add order by created at (#531) 2023-07-07 11:51:48 +08:00
6eee7cb42c feat: fix azure embedding Too many inputs problem (#530) 2023-07-07 11:17:36 +08:00
11baff6740 feat: text generation application support run batch (#529) 2023-07-07 10:35:05 +08:00
cde1797cc0 feat: max token add tip (#525) 2023-07-06 15:57:04 +08:00
d143284d99 Fix: stop embedding status display (#523) 2023-07-06 10:51:30 +08:00
2b94545190 fix check version api (#520) 2023-07-05 11:11:38 +08:00
ed6648a41e feat: dataset list add order by created at (#487) 2023-07-05 11:00:21 +08:00
5e2c3eeac3 fix: chat app added new var old conversation not work (#511) 2023-07-04 14:33:41 +08:00
b23d8a912b fix: add missing like i18n (#512) 2023-07-04 14:21:51 +08:00
4f13f8fd0a fix: change langenius text to dify (#498) 2023-07-02 14:01:11 +08:00
561c9cabd5 fix: input text repeat (#492) 2023-06-29 17:27:48 +08:00
39ea967b30 refact common layout (#490) 2023-06-29 15:30:12 +08:00
da04ff040b fix: remove document from dataset error when vector index npe (#489) 2023-06-29 13:09:22 +08:00
b9b0866a46 fix: generate summary error when tokens=4097 (#488) 2023-06-29 12:54:50 +08:00
c6ab7eebd9 fix: delete operation style error (#485) 2023-06-29 09:24:31 +08:00
db4e6d81c5 fix: choose dataset not selected after one page (#481) 2023-06-29 09:22:42 +08:00
df68a7c82b feat: Optimize the quality of the title generate (#484) 2023-06-28 19:59:20 +08:00
838825d747 feat: optimize conversation operation (#479) 2023-06-28 17:53:23 +08:00
a87f6f2837 fix: modal disappear (#478) 2023-06-28 16:44:17 +08:00
9d98669e7d fix: dataset destination error (#477) 2023-06-28 15:51:07 +08:00
408fbb0c70 fix: title, summary, suggested questions generate (#476) 2023-06-28 15:43:33 +08:00
998f819b04 use sub to operate all (#475) 2023-06-28 14:58:40 +08:00
131 changed files with 2913 additions and 451 deletions

2
.gitignore vendored
View File

@ -147,3 +147,5 @@ docker/volumes/weaviate/*
sdks/python-client/build
sdks/python-client/dist
sdks/python-client/dify_client.egg-info
.vscode/

View File

@ -79,7 +79,7 @@ class Config:
self.CONSOLE_URL = get_env('CONSOLE_URL')
self.API_URL = get_env('API_URL')
self.APP_URL = get_env('APP_URL')
self.CURRENT_VERSION = "0.3.6"
self.CURRENT_VERSION = "0.3.7"
self.COMMIT_SHA = get_env('COMMIT_SHA')
self.EDITION = "SELF_HOSTED"
self.DEPLOY_ENV = get_env('DEPLOY_ENV')

View File

@ -9,7 +9,7 @@ api = ExternalApi(bp)
from . import setup, version, apikey, admin
# Import app controllers
from .app import app, site, completion, model_config, statistic, conversation, message, generator
from .app import app, site, completion, model_config, statistic, conversation, message, generator, audio
# Import auth controllers
from .auth import login, oauth, data_source_oauth
@ -21,4 +21,4 @@ from .datasets import datasets, datasets_document, datasets_segments, file, hit_
from .workspace import workspace, members, providers, account
# Import explore controllers
from .explore import installed_app, recommended_app, completion, conversation, message, parameter, saved_message
from .explore import installed_app, recommended_app, completion, conversation, message, parameter, saved_message, audio

View File

@ -22,6 +22,7 @@ model_config_fields = {
'opening_statement': fields.String,
'suggested_questions': fields.Raw(attribute='suggested_questions_list'),
'suggested_questions_after_answer': fields.Raw(attribute='suggested_questions_after_answer_dict'),
'speech_to_text': fields.Raw(attribute='speech_to_text_dict'),
'more_like_this': fields.Raw(attribute='more_like_this_dict'),
'model': fields.Raw(attribute='model_dict'),
'user_input_form': fields.Raw(attribute='user_input_form_list'),
@ -144,6 +145,7 @@ class AppListApi(Resource):
opening_statement=model_configuration['opening_statement'],
suggested_questions=json.dumps(model_configuration['suggested_questions']),
suggested_questions_after_answer=json.dumps(model_configuration['suggested_questions_after_answer']),
speech_to_text=json.dumps(model_configuration['speech_to_text']),
more_like_this=json.dumps(model_configuration['more_like_this']),
model=json.dumps(model_configuration['model']),
user_input_form=json.dumps(model_configuration['user_input_form']),
@ -434,6 +436,7 @@ class AppCopy(Resource):
opening_statement=app_config.opening_statement,
suggested_questions=app_config.suggested_questions,
suggested_questions_after_answer=app_config.suggested_questions_after_answer,
speech_to_text=app_config.speech_to_text,
more_like_this=app_config.more_like_this,
model=app_config.model,
user_input_form=app_config.user_input_form,

View File

@ -0,0 +1,69 @@
# -*- coding:utf-8 -*-
import logging
from flask import request
from flask_login import login_required
from werkzeug.exceptions import InternalServerError, NotFound
import services
from controllers.console import api
from controllers.console.app import _get_app
from controllers.console.app.error import AppUnavailableError, \
ProviderNotInitializeError, CompletionRequestError, ProviderQuotaExceededError, \
ProviderModelCurrentlyNotSupportError, NoAudioUploadedError, AudioTooLargeError, \
UnsupportedAudioTypeError, ProviderNotSupportSpeechToTextError
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from core.llm.error import LLMBadRequestError, LLMAPIUnavailableError, LLMAuthorizationError, LLMAPIConnectionError, \
LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
from flask_restful import Resource
from services.audio_service import AudioService
from services.errors.audio import NoAudioUploadedServiceError, AudioTooLargeServiceError, \
UnsupportedAudioTypeServiceError, ProviderNotSupportSpeechToTextServiceError
class ChatMessageAudioApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self, app_id):
app_id = str(app_id)
app_model = _get_app(app_id, 'chat')
file = request.files['file']
try:
response = AudioService.transcript(
tenant_id=app_model.tenant_id,
file=file,
)
return response
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
raise AppUnavailableError()
except NoAudioUploadedServiceError:
raise NoAudioUploadedError()
except AudioTooLargeServiceError as e:
raise AudioTooLargeError(str(e))
except UnsupportedAudioTypeServiceError:
raise UnsupportedAudioTypeError()
except ProviderNotSupportSpeechToTextServiceError:
raise ProviderNotSupportSpeechToTextError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
raise ProviderModelCurrentlyNotSupportError()
except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
LLMRateLimitError, LLMAuthorizationError) as e:
raise CompletionRequestError(str(e))
except ValueError as e:
raise e
except Exception as e:
logging.exception("internal server error.")
raise InternalServerError()
api.add_resource(ChatMessageAudioApi, '/apps/<uuid:app_id>/audio-to-text')

View File

@ -49,3 +49,27 @@ class AppMoreLikeThisDisabledError(BaseHTTPException):
error_code = 'app_more_like_this_disabled'
description = "The 'More like this' feature is disabled. Please refresh your page."
code = 403
class NoAudioUploadedError(BaseHTTPException):
error_code = 'no_audio_uploaded'
description = "Please upload your audio."
code = 400
class AudioTooLargeError(BaseHTTPException):
error_code = 'audio_too_large'
description = "Audio size exceeded. {message}"
code = 413
class UnsupportedAudioTypeError(BaseHTTPException):
error_code = 'unsupported_audio_type'
description = "Audio type not allowed."
code = 415
class ProviderNotSupportSpeechToTextError(BaseHTTPException):
error_code = 'provider_not_support_speech_to_text'
description = "Provider not support speech to text."
code = 400

View File

@ -41,6 +41,7 @@ class ModelConfigResource(Resource):
opening_statement=model_configuration['opening_statement'],
suggested_questions=json.dumps(model_configuration['suggested_questions']),
suggested_questions_after_answer=json.dumps(model_configuration['suggested_questions_after_answer']),
speech_to_text=json.dumps(model_configuration['speech_to_text']),
more_like_this=json.dumps(model_configuration['more_like_this']),
model=json.dumps(model_configuration['model']),
user_input_form=json.dumps(model_configuration['user_input_form']),

View File

@ -0,0 +1,66 @@
# -*- coding:utf-8 -*-
import logging
from flask import request
from werkzeug.exceptions import InternalServerError
import services
from controllers.console import api
from controllers.console.app.error import AppUnavailableError, ProviderNotInitializeError, \
ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError, CompletionRequestError, \
NoAudioUploadedError, AudioTooLargeError, \
UnsupportedAudioTypeError, ProviderNotSupportSpeechToTextError
from controllers.console.explore.wraps import InstalledAppResource
from core.llm.error import LLMBadRequestError, LLMAPIUnavailableError, LLMAuthorizationError, LLMAPIConnectionError, \
LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
from services.audio_service import AudioService
from services.errors.audio import NoAudioUploadedServiceError, AudioTooLargeServiceError, \
UnsupportedAudioTypeServiceError, ProviderNotSupportSpeechToTextServiceError
from models.model import AppModelConfig
class ChatAudioApi(InstalledAppResource):
def post(self, installed_app):
app_model = installed_app.app
app_model_config: AppModelConfig = app_model.app_model_config
if not app_model_config.speech_to_text_dict['enabled']:
raise AppUnavailableError()
file = request.files['file']
try:
response = AudioService.transcript(
tenant_id=app_model.tenant_id,
file=file,
)
return response
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
raise AppUnavailableError()
except NoAudioUploadedServiceError:
raise NoAudioUploadedError()
except AudioTooLargeServiceError as e:
raise AudioTooLargeError(str(e))
except UnsupportedAudioTypeServiceError:
raise UnsupportedAudioTypeError()
except ProviderNotSupportSpeechToTextServiceError:
raise ProviderNotSupportSpeechToTextError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
raise ProviderModelCurrentlyNotSupportError()
except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
LLMRateLimitError, LLMAuthorizationError) as e:
raise CompletionRequestError(str(e))
except ValueError as e:
raise e
except Exception as e:
logging.exception("internal server error.")
raise InternalServerError()
api.add_resource(ChatAudioApi, '/installed-apps/<uuid:installed_app_id>/audio-to-text', endpoint='installed_app_audio')

View File

@ -21,6 +21,7 @@ class AppParameterApi(InstalledAppResource):
'opening_statement': fields.String,
'suggested_questions': fields.Raw,
'suggested_questions_after_answer': fields.Raw,
'speech_to_text': fields.Raw,
'more_like_this': fields.Raw,
'user_input_form': fields.Raw,
}
@ -35,6 +36,7 @@ class AppParameterApi(InstalledAppResource):
'opening_statement': app_model_config.opening_statement,
'suggested_questions': app_model_config.suggested_questions_list,
'suggested_questions_after_answer': app_model_config.suggested_questions_after_answer_dict,
'speech_to_text': app_model_config.speech_to_text_dict,
'more_like_this': app_model_config.more_like_this_dict,
'user_input_form': app_model_config.user_input_form_list
}

View File

@ -7,6 +7,6 @@ bp = Blueprint('service_api', __name__, url_prefix='/v1')
api = ExternalApi(bp)
from .app import completion, app, conversation, message
from .app import completion, app, conversation, message, audio
from .dataset import document

View File

@ -22,6 +22,7 @@ class AppParameterApi(AppApiResource):
'opening_statement': fields.String,
'suggested_questions': fields.Raw,
'suggested_questions_after_answer': fields.Raw,
'speech_to_text': fields.Raw,
'more_like_this': fields.Raw,
'user_input_form': fields.Raw,
}
@ -35,6 +36,7 @@ class AppParameterApi(AppApiResource):
'opening_statement': app_model_config.opening_statement,
'suggested_questions': app_model_config.suggested_questions_list,
'suggested_questions_after_answer': app_model_config.suggested_questions_after_answer_dict,
'speech_to_text': app_model_config.speech_to_text_dict,
'more_like_this': app_model_config.more_like_this_dict,
'user_input_form': app_model_config.user_input_form_list
}

View File

@ -0,0 +1,61 @@
import logging
from flask import request
from werkzeug.exceptions import InternalServerError
import services
from controllers.service_api import api
from controllers.service_api.app.error import AppUnavailableError, ProviderNotInitializeError, CompletionRequestError, ProviderQuotaExceededError, \
ProviderModelCurrentlyNotSupportError, NoAudioUploadedError, AudioTooLargeError, UnsupportedAudioTypeError, \
ProviderNotSupportSpeechToTextError
from controllers.service_api.wraps import AppApiResource
from core.llm.error import LLMBadRequestError, LLMAuthorizationError, LLMAPIUnavailableError, LLMAPIConnectionError, \
LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
from models.model import App, AppModelConfig
from services.audio_service import AudioService
from services.errors.audio import NoAudioUploadedServiceError, AudioTooLargeServiceError, \
UnsupportedAudioTypeServiceError, ProviderNotSupportSpeechToTextServiceError
class AudioApi(AppApiResource):
def post(self, app_model: App, end_user):
app_model_config: AppModelConfig = app_model.app_model_config
if not app_model_config.speech_to_text_dict['enabled']:
raise AppUnavailableError()
file = request.files['file']
try:
response = AudioService.transcript(
tenant_id=app_model.tenant_id,
file=file,
)
return response
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
raise AppUnavailableError()
except NoAudioUploadedServiceError:
raise NoAudioUploadedError()
except AudioTooLargeServiceError as e:
raise AudioTooLargeError(str(e))
except UnsupportedAudioTypeServiceError:
raise UnsupportedAudioTypeError()
except ProviderNotSupportSpeechToTextServiceError:
raise ProviderNotSupportSpeechToTextError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
raise ProviderModelCurrentlyNotSupportError()
except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
LLMRateLimitError, LLMAuthorizationError) as e:
raise CompletionRequestError(str(e))
except ValueError as e:
raise e
except Exception as e:
logging.exception("internal server error.")
raise InternalServerError()
api.add_resource(AudioApi, '/audio-to-text')

View File

@ -51,3 +51,27 @@ class CompletionRequestError(BaseHTTPException):
description = "Completion request failed."
code = 400
class NoAudioUploadedError(BaseHTTPException):
error_code = 'no_audio_uploaded'
description = "Please upload your audio."
code = 400
class AudioTooLargeError(BaseHTTPException):
error_code = 'audio_too_large'
description = "Audio size exceeded. {message}"
code = 413
class UnsupportedAudioTypeError(BaseHTTPException):
error_code = 'unsupported_audio_type'
description = "Audio type not allowed."
code = 415
class ProviderNotSupportSpeechToTextError(BaseHTTPException):
error_code = 'provider_not_support_speech_to_text'
description = "Provider not support speech to text."
code = 400

View File

@ -7,4 +7,4 @@ bp = Blueprint('web', __name__, url_prefix='/api')
api = ExternalApi(bp)
from . import completion, app, conversation, message, site, saved_message
from . import completion, app, conversation, message, site, saved_message, audio

View File

@ -21,6 +21,7 @@ class AppParameterApi(WebApiResource):
'opening_statement': fields.String,
'suggested_questions': fields.Raw,
'suggested_questions_after_answer': fields.Raw,
'speech_to_text': fields.Raw,
'more_like_this': fields.Raw,
'user_input_form': fields.Raw,
}
@ -34,6 +35,7 @@ class AppParameterApi(WebApiResource):
'opening_statement': app_model_config.opening_statement,
'suggested_questions': app_model_config.suggested_questions_list,
'suggested_questions_after_answer': app_model_config.suggested_questions_after_answer_dict,
'speech_to_text': app_model_config.speech_to_text_dict,
'more_like_this': app_model_config.more_like_this_dict,
'user_input_form': app_model_config.user_input_form_list
}

View File

@ -0,0 +1,63 @@
# -*- coding:utf-8 -*-
import logging
from flask import request
from werkzeug.exceptions import InternalServerError
import services
from controllers.web import api
from controllers.web.error import AppUnavailableError, ProviderNotInitializeError, CompletionRequestError, \
ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError, NoAudioUploadedError, AudioTooLargeError, \
UnsupportedAudioTypeError, ProviderNotSupportSpeechToTextError
from controllers.web.wraps import WebApiResource
from core.llm.error import LLMBadRequestError, LLMAPIUnavailableError, LLMAuthorizationError, LLMAPIConnectionError, \
LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
from services.audio_service import AudioService
from services.errors.audio import NoAudioUploadedServiceError, AudioTooLargeServiceError, \
UnsupportedAudioTypeServiceError, ProviderNotSupportSpeechToTextServiceError
from models.model import App, AppModelConfig
class AudioApi(WebApiResource):
def post(self, app_model: App, end_user):
app_model_config: AppModelConfig = app_model.app_model_config
if not app_model_config.speech_to_text_dict['enabled']:
raise AppUnavailableError()
file = request.files['file']
try:
response = AudioService.transcript(
tenant_id=app_model.tenant_id,
file=file,
)
return response
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
raise AppUnavailableError()
except NoAudioUploadedServiceError:
raise NoAudioUploadedError()
except AudioTooLargeServiceError as e:
raise AudioTooLargeError(str(e))
except UnsupportedAudioTypeServiceError:
raise UnsupportedAudioTypeError()
except ProviderNotSupportSpeechToTextServiceError:
raise ProviderNotSupportSpeechToTextError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
raise ProviderModelCurrentlyNotSupportError()
except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
LLMRateLimitError, LLMAuthorizationError) as e:
raise CompletionRequestError(str(e))
except ValueError as e:
raise e
except Exception as e:
logging.exception("internal server error.")
raise InternalServerError()
api.add_resource(AudioApi, '/audio-to-text')

View File

@ -62,3 +62,27 @@ class AppSuggestedQuestionsAfterAnswerDisabledError(BaseHTTPException):
error_code = 'app_suggested_questions_after_answer_disabled'
description = "The 'Suggested Questions After Answer' feature is disabled. Please refresh your page."
code = 403
class NoAudioUploadedError(BaseHTTPException):
error_code = 'no_audio_uploaded'
description = "Please upload your audio."
code = 400
class AudioTooLargeError(BaseHTTPException):
error_code = 'audio_too_large'
description = "Audio size exceeded. {message}"
code = 413
class UnsupportedAudioTypeError(BaseHTTPException):
error_code = 'unsupported_audio_type'
description = "Audio type not allowed."
code = 415
class ProviderNotSupportSpeechToTextError(BaseHTTPException):
error_code = 'provider_not_support_speech_to_text'
description = "Provider not support speech to text."
code = 400

View File

@ -1,4 +1,5 @@
import math
import re
from typing import Mapping, List, Dict, Any, Optional
from langchain import PromptTemplate
@ -178,13 +179,20 @@ class MultiDatasetRouterChain(Chain):
route = self.router_chain.route(inputs)
if not route.destination:
destination = ''
if route.destination:
pattern = r'\b[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}\b'
match = re.search(pattern, route.destination, re.IGNORECASE)
if match:
destination = match.group()
if not destination:
return {"text": ''}
elif route.destination in self.dataset_tools:
return {"text": self.dataset_tools[route.destination].run(
elif destination in self.dataset_tools:
return {"text": self.dataset_tools[destination].run(
route.next_inputs['input']
)}
else:
raise ValueError(
f"Received invalid destination chain name '{route.destination}'"
f"Received invalid destination chain name '{destination}'"
)

View File

@ -2,7 +2,7 @@ import logging
from langchain import PromptTemplate
from langchain.chat_models.base import BaseChatModel
from langchain.schema import HumanMessage, OutputParserException
from langchain.schema import HumanMessage, OutputParserException, BaseMessage
from core.constant import llm_constant
from core.llm.llm_builder import LLMBuilder
@ -23,10 +23,10 @@ class LLMGenerator:
@classmethod
def generate_conversation_name(cls, tenant_id: str, query, answer):
prompt = CONVERSATION_TITLE_PROMPT
prompt = prompt.format(query=query, answer=answer)
prompt = prompt.format(query=query)
llm: StreamableOpenAI = LLMBuilder.to_llm(
tenant_id=tenant_id,
model_name=generate_base_model,
model_name='gpt-3.5-turbo',
max_tokens=50
)
@ -40,11 +40,12 @@ class LLMGenerator:
@classmethod
def generate_conversation_summary(cls, tenant_id: str, messages):
max_tokens = 200
model = 'gpt-3.5-turbo'
prompt = CONVERSATION_SUMMARY_PROMPT
prompt_with_empty_context = prompt.format(context='')
prompt_tokens = TokenCalculator.get_num_tokens(generate_base_model, prompt_with_empty_context)
rest_tokens = llm_constant.max_context_token_length[generate_base_model] - prompt_tokens - max_tokens
prompt_tokens = TokenCalculator.get_num_tokens(model, prompt_with_empty_context)
rest_tokens = llm_constant.max_context_token_length[model] - prompt_tokens - max_tokens - 1
context = ''
for message in messages:
@ -52,14 +53,17 @@ class LLMGenerator:
continue
message_qa_text = "Human:" + message.query + "\nAI:" + message.answer + "\n"
if rest_tokens - TokenCalculator.get_num_tokens(generate_base_model, context + message_qa_text) > 0:
if rest_tokens - TokenCalculator.get_num_tokens(model, context + message_qa_text) > 0:
context += message_qa_text
if not context:
return '[message too long, no summary]'
prompt = prompt.format(context=context)
llm: StreamableOpenAI = LLMBuilder.to_llm(
tenant_id=tenant_id,
model_name=generate_base_model,
model_name=model,
max_tokens=max_tokens
)
@ -102,7 +106,7 @@ class LLMGenerator:
llm: StreamableOpenAI = LLMBuilder.to_llm(
tenant_id=tenant_id,
model_name=generate_base_model,
model_name='gpt-3.5-turbo',
temperature=0,
max_tokens=256
)
@ -114,6 +118,8 @@ class LLMGenerator:
try:
output = llm(query)
if isinstance(output, BaseMessage):
output = output.content
questions = output_parser.parse(output)
except Exception:
logging.exception("Error generating suggested questions after answer")

View File

@ -346,10 +346,10 @@ class IndexingRunner:
return text_docs
def filter_string(self, text):
text = text.replace('<|', '<')
text = text.replace('|>', '>')
pattern = re.compile('[\x00-\x08\x0B\x0C\x0E-\x1F\x7F\x80-\xFF]')
return pattern.sub('', text)
text = re.sub(r'<\|', '<', text)
text = re.sub(r'\|>', '>', text)
text = re.sub(r'[\x00-\x08\x0B\x0C\x0E-\x1F\x7F\x80-\xFF]', '', text)
return text
def _get_splitter(self, processing_rule: DatasetProcessRule) -> TextSplitter:
"""

View File

@ -44,6 +44,7 @@ class AzureProvider(BaseProvider):
config['openai_api_type'] = 'azure'
if model_id == 'text-embedding-ada-002':
config['deployment'] = model_id.replace('.', '') if model_id else None
config['chunk_size'] = 1
else:
config['deployment_name'] = model_id.replace('.', '') if model_id else None
return config

25
api/core/llm/whisper.py Normal file
View File

@ -0,0 +1,25 @@
import openai
from models.provider import ProviderName
from core.llm.error_handle_wraps import handle_llm_exceptions
from core.llm.provider.base import BaseProvider
class Whisper:
def __init__(self, provider: BaseProvider):
self.provider = provider
if self.provider.get_provider_name() == ProviderName.OPENAI:
self.client = openai.Audio
self.credentials = provider.get_credentials()
@handle_llm_exceptions
def transcribe(self, file):
return self.client.transcribe(
model='whisper-1',
file=file,
api_key=self.credentials.get('openai_api_key'),
api_base=self.credentials.get('openai_api_base'),
api_type=self.credentials.get('openai_api_type'),
api_version=self.credentials.get('openai_api_version'),
)

View File

@ -1,15 +1,15 @@
CONVERSATION_TITLE_PROMPT = (
"Human:{{query}}\n-----\n"
"Human:{query}\n-----\n"
"Help me summarize the intent of what the human said and provide a title, the title should not exceed 20 words.\n"
"If the human said is conducted in Chinese, you should return a Chinese title.\n"
"If the human said is conducted in English, you should return an English title.\n"
"If what the human said is conducted in English, you should only return an English title.\n"
"If what the human said is conducted in Chinese, you should only return a Chinese title.\n"
"title:"
)
CONVERSATION_SUMMARY_PROMPT = (
"Please generate a short summary of the following conversation.\n"
"If the conversation communicating in Chinese, you should return a Chinese summary.\n"
"If the conversation communicating in English, you should return an English summary.\n"
"If the following conversation communicating in English, you should only return an English summary.\n"
"If the following conversation communicating in Chinese, you should only return a Chinese summary.\n"
"[Conversation Start]\n"
"{context}\n"
"[Conversation End]\n\n"
@ -19,7 +19,7 @@ CONVERSATION_SUMMARY_PROMPT = (
INTRODUCTION_GENERATE_PROMPT = (
"I am designing a product for users to interact with an AI through dialogue. "
"The Prompt given to the AI before the conversation is:\n\n"
"```\n{{prompt}}\n```\n\n"
"```\n{prompt}\n```\n\n"
"Please generate a brief introduction of no more than 50 words that greets the user, based on this Prompt. "
"Do not reveal the developer's motivation or deep logic behind the Prompt, "
"but focus on building a relationship with the user:\n"
@ -27,13 +27,13 @@ INTRODUCTION_GENERATE_PROMPT = (
MORE_LIKE_THIS_GENERATE_PROMPT = (
"-----\n"
"{{original_completion}}\n"
"{original_completion}\n"
"-----\n\n"
"Please use the above content as a sample for generating the result, "
"and include key information points related to the original sample in the result. "
"Try to rephrase this information in different ways and predict according to the rules below.\n\n"
"-----\n"
"{{prompt}}\n"
"{prompt}\n"
)
SUGGESTED_QUESTIONS_AFTER_ANSWER_INSTRUCTION_PROMPT = (

View File

@ -0,0 +1,32 @@
"""app config add speech_to_text
Revision ID: a5b56fb053ef
Revises: d3d503a3471c
Create Date: 2023-07-06 17:55:20.894149
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'a5b56fb053ef'
down_revision = 'd3d503a3471c'
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
with op.batch_alter_table('app_model_configs', schema=None) as batch_op:
batch_op.add_column(sa.Column('speech_to_text', sa.Text(), nullable=True))
# ### end Alembic commands ###
def downgrade():
# ### commands auto generated by Alembic - please adjust! ###
with op.batch_alter_table('app_model_configs', schema=None) as batch_op:
batch_op.drop_column('speech_to_text')
# ### end Alembic commands ###

View File

@ -81,6 +81,7 @@ class AppModelConfig(db.Model):
opening_statement = db.Column(db.Text)
suggested_questions = db.Column(db.Text)
suggested_questions_after_answer = db.Column(db.Text)
speech_to_text = db.Column(db.Text)
more_like_this = db.Column(db.Text)
model = db.Column(db.Text)
user_input_form = db.Column(db.Text)
@ -104,6 +105,11 @@ class AppModelConfig(db.Model):
def suggested_questions_after_answer_dict(self) -> dict:
return json.loads(self.suggested_questions_after_answer) if self.suggested_questions_after_answer \
else {"enabled": False}
@property
def speech_to_text_dict(self) -> dict:
return json.loads(self.speech_to_text) if self.speech_to_text \
else {"enabled": False}
@property
def more_like_this_dict(self) -> dict:
@ -223,6 +229,9 @@ class Conversation(db.Model):
model_config['suggested_questions_after_answer'] = override_model_configs[
'suggested_questions_after_answer'] \
if 'suggested_questions_after_answer' in override_model_configs else {"enabled": False}
model_config['speech_to_text'] = override_model_configs[
'speech_to_text'] \
if 'speech_to_text' in override_model_configs else {"enabled": False}
model_config['more_like_this'] = override_model_configs['more_like_this'] \
if 'more_like_this' in override_model_configs else {"enabled": False}
model_config['user_input_form'] = override_model_configs['user_input_form']
@ -239,6 +248,7 @@ class Conversation(db.Model):
model_config['opening_statement'] = app_model_config.opening_statement
model_config['suggested_questions'] = app_model_config.suggested_questions_list
model_config['suggested_questions_after_answer'] = app_model_config.suggested_questions_after_answer_dict
model_config['speech_to_text'] = app_model_config.speech_to_text_dict
model_config['more_like_this'] = app_model_config.more_like_this_dict
model_config['user_input_form'] = app_model_config.user_input_form_list

View File

@ -4,6 +4,7 @@ import uuid
from core.constant import llm_constant
from models.account import Account
from services.dataset_service import DatasetService
from core.llm.llm_builder import LLMBuilder
class AppModelConfigService:
@ -109,6 +110,26 @@ class AppModelConfigService:
if not isinstance(config["suggested_questions_after_answer"]["enabled"], bool):
raise ValueError("enabled in suggested_questions_after_answer must be of boolean type")
# speech_to_text
if 'speech_to_text' not in config or not config["speech_to_text"]:
config["speech_to_text"] = {
"enabled": False
}
if not isinstance(config["speech_to_text"], dict):
raise ValueError("speech_to_text must be of dict type")
if "enabled" not in config["speech_to_text"] or not config["speech_to_text"]["enabled"]:
config["speech_to_text"]["enabled"] = False
if not isinstance(config["speech_to_text"]["enabled"], bool):
raise ValueError("enabled in speech_to_text must be of boolean type")
provider_name = LLMBuilder.get_default_provider(account.current_tenant_id)
if config["speech_to_text"]["enabled"] and provider_name != 'openai':
raise ValueError("provider not support speech to text")
# more_like_this
if 'more_like_this' not in config or not config["more_like_this"]:
config["more_like_this"] = {
@ -277,6 +298,7 @@ class AppModelConfigService:
"opening_statement": config["opening_statement"],
"suggested_questions": config["suggested_questions"],
"suggested_questions_after_answer": config["suggested_questions_after_answer"],
"speech_to_text": config["speech_to_text"],
"more_like_this": config["more_like_this"],
"model": {
"provider": config["model"]["provider"],

View File

@ -0,0 +1,43 @@
import io
from werkzeug.datastructures import FileStorage
from core.llm.llm_builder import LLMBuilder
from core.llm.provider.llm_provider_service import LLMProviderService
from services.errors.audio import NoAudioUploadedServiceError, AudioTooLargeServiceError, UnsupportedAudioTypeServiceError, ProviderNotSupportSpeechToTextServiceError
from core.llm.whisper import Whisper
from models.provider import ProviderName
FILE_SIZE_LIMIT = 1 * 1024 * 1024
ALLOWED_EXTENSIONS = ['mp3', 'mp4', 'mpeg', 'mpga', 'm4a', 'wav', 'webm']
class AudioService:
@classmethod
def transcript(cls, tenant_id: str, file: FileStorage):
if file is None:
raise NoAudioUploadedServiceError()
extension = file.mimetype
if extension not in [f'audio/{ext}' for ext in ALLOWED_EXTENSIONS]:
raise UnsupportedAudioTypeServiceError()
file_content = file.read()
file_size = len(file_content)
if file_size > FILE_SIZE_LIMIT:
message = f"({file_size} > {FILE_SIZE_LIMIT})"
raise AudioTooLargeServiceError(message)
provider_name = LLMBuilder.get_default_provider(tenant_id)
if provider_name != ProviderName.OPENAI.value:
raise ProviderNotSupportSpeechToTextServiceError('haha')
provider_service = LLMProviderService(tenant_id, provider_name)
buffer = io.BytesIO(file_content)
buffer.name = 'temp.wav'
return Whisper(provider_service.provider).transcribe(buffer)

View File

@ -35,6 +35,7 @@ class DatasetService:
permission_filter = Dataset.permission == 'all_team_members'
datasets = Dataset.query.filter(
db.and_(Dataset.provider == provider, Dataset.tenant_id == tenant_id, permission_filter)) \
.order_by(Dataset.created_at.desc()) \
.paginate(
page=page,
per_page=per_page,

View File

@ -1,7 +1,7 @@
# -*- coding:utf-8 -*-
__all__ = [
'base', 'conversation', 'message', 'index', 'app_model_config', 'account', 'document', 'dataset',
'app', 'completion'
'app', 'completion', 'audio'
]
from . import *

View File

@ -0,0 +1,23 @@
from services.errors.base import BaseServiceError
class NoAudioUploadedServiceError(BaseServiceError):
error_code = 'no_audio_uploaded'
description = "Please upload your audio."
code = 400
class AudioTooLargeServiceError(BaseServiceError):
error_code = 'audio_too_large'
description = "Audio size exceeded. {message}"
code = 413
class UnsupportedAudioTypeServiceError(BaseServiceError):
error_code = 'unsupported_audio_type'
description = "Audio type not allowed."
code = 415
class ProviderNotSupportSpeechToTextServiceError(BaseServiceError):
error_code = 'provider_not_support_speech_to_text'
description = "Provider not support speech to text. {message}"
code = 400

View File

@ -7,7 +7,7 @@ from celery import shared_task
from core.index.index import IndexBuilder
from extensions.ext_database import db
from models.dataset import DocumentSegment, Dataset, DatasetKeywordTable, DatasetQuery, DatasetProcessRule, \
AppDatasetJoin
AppDatasetJoin, Document
@shared_task
@ -32,7 +32,7 @@ def clean_dataset_task(dataset_id: str, tenant_id: str, indexing_technique: str,
index_struct=index_struct
)
documents = db.session.query(DocumentSegment).filter(DocumentSegment.dataset_id == dataset_id).all()
documents = db.session.query(Document).filter(Document.dataset_id == dataset_id).all()
segments = db.session.query(DocumentSegment).filter(DocumentSegment.dataset_id == dataset_id).all()
vector_index = IndexBuilder.get_index(dataset, 'high_quality')

View File

@ -28,7 +28,7 @@ def generate_conversation_summary_task(conversation_id: str):
try:
# get conversation messages count
history_message_count = conversation.message_count
if history_message_count >= 5:
if history_message_count >= 5 and not conversation.summary:
app_model = conversation.app
if not app_model:
return

View File

@ -41,7 +41,8 @@ def remove_document_from_index_task(document_id: str):
kw_index = IndexBuilder.get_index(dataset, 'economy')
# delete from vector index
vector_index.delete_by_document_id(document.id)
if vector_index:
vector_index.delete_by_document_id(document.id)
# delete from keyword index
segments = db.session.query(DocumentSegment).filter(DocumentSegment.document_id == document.id).all()

View File

@ -2,7 +2,7 @@ version: '3.1'
services:
# API service
api:
image: langgenius/dify-api:0.3.6
image: langgenius/dify-api:0.3.7
restart: always
environment:
# Startup mode, 'api' starts the API server.
@ -110,7 +110,7 @@ services:
# worker service
# The Celery worker for processing the queue.
worker:
image: langgenius/dify-api:0.3.6
image: langgenius/dify-api:0.3.7
restart: always
environment:
# Startup mode, 'worker' starts the Celery worker for processing the queue.
@ -156,7 +156,7 @@ services:
# Frontend web application.
web:
image: langgenius/dify-web:0.3.6
image: langgenius/dify-web:0.3.7
restart: always
environment:
EDITION: SELF_HOSTED

View File

@ -1,111 +0,0 @@
'use client'
import type { FC } from 'react'
import React, { useEffect, useRef, useState } from 'react'
import { usePathname, useRouter, useSelectedLayoutSegments } from 'next/navigation'
import useSWR, { SWRConfig } from 'swr'
import * as Sentry from '@sentry/react'
import Header from '../components/header'
import { fetchAppList } from '@/service/apps'
import { fetchDatasets } from '@/service/datasets'
import { fetchLanggeniusVersion, fetchUserProfile, logout } from '@/service/common'
import Loading from '@/app/components/base/loading'
import { AppContextProvider } from '@/context/app-context'
import DatasetsContext from '@/context/datasets-context'
import type { LangGeniusVersionResponse, UserProfileResponse } from '@/models/common'
const isDevelopment = process.env.NODE_ENV === 'development'
export type ICommonLayoutProps = {
children: React.ReactNode
}
const CommonLayout: FC<ICommonLayoutProps> = ({ children }) => {
useEffect(() => {
const SENTRY_DSN = document?.body?.getAttribute('data-public-sentry-dsn')
if (!isDevelopment && SENTRY_DSN) {
Sentry.init({
dsn: SENTRY_DSN,
integrations: [
new Sentry.BrowserTracing({
}),
new Sentry.Replay(),
],
tracesSampleRate: 0.1,
replaysSessionSampleRate: 0.1,
replaysOnErrorSampleRate: 1.0,
})
}
}, [])
const router = useRouter()
const pathname = usePathname()
const segments = useSelectedLayoutSegments()
const pattern = pathname.replace(/.*\/app\//, '')
const [idOrMethod] = pattern.split('/')
const isNotDetailPage = idOrMethod === 'list'
const pageContainerRef = useRef<HTMLDivElement>(null)
const appId = isNotDetailPage ? '' : idOrMethod
const { data: appList, mutate: mutateApps } = useSWR({ url: '/apps', params: { page: 1 } }, fetchAppList)
const { data: datasetList, mutate: mutateDatasets } = useSWR(segments[0] === 'datasets' ? { url: '/datasets', params: { page: 1 } } : null, fetchDatasets)
const { data: userProfileResponse, mutate: mutateUserProfile } = useSWR({ url: '/account/profile', params: {} }, fetchUserProfile)
const [userProfile, setUserProfile] = useState<UserProfileResponse>()
const [langeniusVersionInfo, setLangeniusVersionInfo] = useState<LangGeniusVersionResponse>()
const updateUserProfileAndVersion = async () => {
if (userProfileResponse && !userProfileResponse.bodyUsed) {
const result = await userProfileResponse.json()
setUserProfile(result)
const current_version = userProfileResponse.headers.get('x-version')
const current_env = userProfileResponse.headers.get('x-env')
const versionData = await fetchLanggeniusVersion({ url: '/version', params: { current_version } })
setLangeniusVersionInfo({ ...versionData, current_version, latest_version: versionData.version, current_env })
}
}
useEffect(() => {
updateUserProfileAndVersion()
}, [userProfileResponse])
if (!appList || !userProfile || !langeniusVersionInfo)
return <Loading type='app' />
const curAppId = segments[0] === 'app' && segments[2]
const currentDatasetId = segments[0] === 'datasets' && segments[2]
const currentDataset = datasetList?.data?.find(opt => opt.id === currentDatasetId)
// if (!isNotDetailPage && !curApp) {
// alert('app not found') // TODO use toast. Now can not get toast context here.
// // notify({ type: 'error', message: 'App not found' })
// router.push('/apps')
// }
const onLogout = async () => {
await logout({
url: '/logout',
params: {},
})
router.push('/signin')
}
return (
<SWRConfig value={{
shouldRetryOnError: false,
}}>
<AppContextProvider value={{ apps: appList.data, mutateApps, userProfile, mutateUserProfile, pageContainerRef }}>
<DatasetsContext.Provider value={{ datasets: datasetList?.data || [], mutateDatasets, currentDataset }}>
<div ref={pageContainerRef} className='relative flex flex-col h-full overflow-auto bg-gray-100'>
<Header
isBordered={['/apps', '/datasets'].includes(pathname)}
curAppId={curAppId || ''}
userProfile={userProfile}
onLogout={onLogout}
langeniusVersionInfo={langeniusVersionInfo}
/>
{children}
</div>
</DatasetsContext.Provider>
</AppContextProvider>
</SWRConfig>
)
}
export default React.memo(CommonLayout)

View File

@ -1,13 +1,20 @@
import React from "react";
import type { FC } from 'react'
import LayoutClient, { ICommonLayoutProps } from "./_layout-client";
import React from 'react'
import type { ReactNode } from 'react'
import SwrInitor from '@/app/components/swr-initor'
import { AppContextProvider } from '@/context/app-context'
import GA, { GaType } from '@/app/components/base/ga'
import Header from '@/app/components/header'
const Layout: FC<ICommonLayoutProps> = ({ children }) => {
const Layout = ({ children }: { children: ReactNode }) => {
return (
<>
<GA gaType={GaType.admin} />
<LayoutClient children={children}></LayoutClient>
<SwrInitor>
<AppContextProvider>
<Header />
{children}
</AppContextProvider>
</SwrInitor>
</>
)
}
@ -16,4 +23,4 @@ export const metadata = {
title: 'Dify',
}
export default Layout
export default Layout

View File

@ -3,6 +3,7 @@ import type { FC } from 'react'
import React, { useEffect, useLayoutEffect, useRef, useState } from 'react'
import { useContext } from 'use-context-selector'
import cn from 'classnames'
import Recorder from 'js-audio-recorder'
import { HandThumbDownIcon, HandThumbUpIcon } from '@heroicons/react/24/outline'
import { UserCircleIcon } from '@heroicons/react/24/solid'
import { useTranslation } from 'react-i18next'
@ -19,6 +20,10 @@ import AppContext from '@/context/app-context'
import { Markdown } from '@/app/components/base/markdown'
import { formatNumber } from '@/utils/format'
import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints'
import VoiceInput from '@/app/components/base/voice-input'
import { Microphone01 } from '@/app/components/base/icons/src/vender/line/mediaAndDevices'
import { Microphone01 as Microphone01Solid } from '@/app/components/base/icons/src/vender/solid/mediaAndDevices'
import { XCircle } from '@/app/components/base/icons/src/vender/solid/general'
const stopIcon = (
<svg width="14" height="14" viewBox="0 0 14 14" fill="none" xmlns="http://www.w3.org/2000/svg">
@ -59,6 +64,7 @@ export type IChatProps = {
controlFocus?: number
isShowSuggestion?: boolean
suggestionList?: string[]
isShowSpeechToText?: boolean
}
export type MessageMore = {
@ -200,7 +206,7 @@ const Answer: FC<IAnswerProps> = ({ item, feedbackDisabled = false, isHideFeedba
return (
<Tooltip
selector={`user-feedback-${randomString(16)}`}
content={(isWebScene || (!isUserFeedback && !isWebScene)) ? isLike ? '取消赞同' : '取消反对' : (!isWebScene && isUserFeedback) ? `用户表示${isLike ? '赞同' : '反对'}` : ''}
content={((isWebScene || (!isUserFeedback && !isWebScene)) ? isLike ? t('appDebug.operation.cancelAgree') : t('appDebug.operation.cancelDisagree') : (!isWebScene && isUserFeedback) ? `${t('appDebug.operation.userAction')}${isLike ? t('appDebug.operation.agree') : t('appDebug.operation.disagree')}` : '') as string}
>
<div
className={`relative box-border flex items-center justify-center h-7 w-7 p-0.5 rounded-lg bg-white cursor-pointer text-gray-500 hover:text-gray-800 ${(!isWebScene && isUserFeedback) ? '!cursor-default' : ''}`}
@ -421,6 +427,7 @@ const Chat: FC<IChatProps> = ({
controlFocus,
isShowSuggestion,
suggestionList,
isShowSpeechToText,
}) => {
const { t } = useTranslation()
const { notify } = useContext(ToastContext)
@ -488,6 +495,15 @@ const Chat: FC<IChatProps> = ({
}
}, [suggestionList])
const [voiceInputShow, setVoiceInputShow] = useState(false)
const handleVoiceInputShow = () => {
(Recorder as any).getPermission().then(() => {
setVoiceInputShow(true)
}, () => {
logError(t('common.voiceInput.notAllow'))
})
}
return (
<div className={cn('px-3.5', 'h-full')}>
{/* Chat List */}
@ -565,6 +581,26 @@ const Chat: FC<IChatProps> = ({
/>
<div className="absolute top-0 right-2 flex items-center h-[48px]">
<div className={`${s.count} mr-4 h-5 leading-5 text-sm bg-gray-50 text-gray-500`}>{query.trim().length}</div>
{
query
? (
<div className='flex justify-center items-center w-8 h-8 cursor-pointer hover:bg-gray-100 rounded-lg' onClick={() => setQuery('')}>
<XCircle className='w-4 h-4 text-[#98A2B3]' />
</div>
)
: isShowSpeechToText
? (
<div
className='group flex justify-center items-center w-8 h-8 hover:bg-primary-50 rounded-lg cursor-pointer'
onClick={handleVoiceInputShow}
>
<Microphone01 className='block w-4 h-4 text-gray-500 group-hover:hidden' />
<Microphone01Solid className='hidden w-4 h-4 text-primary-600 group-hover:block' />
</div>
)
: null
}
<div className='mx-2 w-[1px] h-4 bg-black opacity-5' />
{isMobile
? sendBtn
: (
@ -581,6 +617,14 @@ const Chat: FC<IChatProps> = ({
</Tooltip>
)}
</div>
{
voiceInputShow && (
<VoiceInput
onCancel={() => setVoiceInputShow(false)}
onConverted={text => setQuery(text)}
/>
)
}
</div>
</div>
)

View File

@ -79,7 +79,7 @@
.textArea {
padding-top: 13px;
padding-bottom: 13px;
padding-right: 90px;
padding-right: 130px;
border-radius: 12px;
line-height: 20px;
background-color: #fff;

View File

@ -1,6 +1,6 @@
'use client'
import type { FC } from 'react'
import React, { useEffect } from 'react'
import React, { useEffect, useState } from 'react'
import cn from 'classnames'
import { useTranslation } from 'react-i18next'
import { useBoolean, useClickAway } from 'ahooks'
@ -12,6 +12,7 @@ import type { CompletionParams } from '@/models/debug'
import { AppType } from '@/types/app'
import { TONE_LIST } from '@/config'
import Toast from '@/app/components/base/toast'
import { AlertTriangle } from '@/app/components/base/icons/src/vender/solid/alertsAndFeedback'
export type IConifgModelProps = {
mode: string
@ -55,6 +56,7 @@ const ConifgModel: FC<IConifgModelProps> = ({
const isChatApp = mode === AppType.chat
const availableModels = options.filter(item => item.type === mode)
const [isShowConfig, { setFalse: hideConfig, toggle: toogleShowConfig }] = useBoolean(false)
const [maxTokenSettingTipVisible, setMaxTokenSettingTipVisible] = useState(false)
const configContentRef = React.useRef(null)
useClickAway(() => {
hideConfig()
@ -177,6 +179,14 @@ const ConifgModel: FC<IConifgModelProps> = ({
const ableStyle = 'bg-indigo-25 border-[#2A87F5] cursor-pointer'
const diabledStyle = 'bg-[#FFFCF5] border-[#F79009]'
useEffect(() => {
const max = params[4].max
if (completionParams.max_tokens > max * 2 / 3)
setMaxTokenSettingTipVisible(true)
else
setMaxTokenSettingTipVisible(false)
}, [params, completionParams.max_tokens, setMaxTokenSettingTipVisible])
return (
<div className='relative' ref={configContentRef}>
<div
@ -247,6 +257,14 @@ const ConifgModel: FC<IConifgModelProps> = ({
{params.map(({ key, ...param }) => (<ParamItem key={key} {...param} value={(completionParams as any)[key] as any} onChange={handleParamChange} />))}
</div>
</div>
{
maxTokenSettingTipVisible && (
<div className='flex py-2 pr-4 pl-5 bg-[#FFFAEB] border-t border-[#FEF0C7]'>
<AlertTriangle className='shrink-0 mr-2 mt-[3px] w-3 h-3 text-[#F79009]' />
<div className='mr-2 text-xs font-medium text-gray-700'>{t('common.model.params.maxTokenSettingTip')}</div>
</div>
)
}
</Panel>
)}
</div>

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@ -22,4 +22,8 @@
.moreLikeThisPreview {
background-image: url(./preview-imgs/more-like-this.svg);
}
.speechToTextPreview {
background-image: url(./preview-imgs/speech-to-text.svg);
}

View File

@ -7,10 +7,12 @@ import MoreLikeThisIcon from '../../../base/icons/more-like-this-icon'
import FeatureItem from './feature-item'
import Modal from '@/app/components/base/modal'
import SuggestedQuestionsAfterAnswerIcon from '@/app/components/app/configuration/base/icons/suggested-questions-after-answer-icon'
import { Microphone01 } from '@/app/components/base/icons/src/vender/solid/mediaAndDevices'
type IConfig = {
openingStatement: boolean
moreLikeThis: boolean
suggestedQuestionsAfterAnswer: boolean
speechToText: boolean
}
export type IChooseFeatureProps = {
@ -19,6 +21,7 @@ export type IChooseFeatureProps = {
config: IConfig
isChatApp: boolean
onChange: (key: string, value: boolean) => void
showSpeechToTextItem?: boolean
}
const OpeningStatementIcon = (
@ -33,6 +36,7 @@ const ChooseFeature: FC<IChooseFeatureProps> = ({
isChatApp,
config,
onChange,
showSpeechToTextItem,
}) => {
const { t } = useTranslation()
@ -69,6 +73,18 @@ const ChooseFeature: FC<IChooseFeatureProps> = ({
value={config.suggestedQuestionsAfterAnswer}
onChange={value => onChange('suggestedQuestionsAfterAnswer', value)}
/>
{
showSpeechToTextItem && (
<FeatureItem
icon={<Microphone01 className='w-4 h-4 text-[#7839EE]' />}
previewImgClassName='speechToTextPreview'
title={t('appDebug.feature.speechToText.title')}
description={t('appDebug.feature.speechToText.description')}
value={config.speechToText}
onChange={value => onChange('speechToText', value)}
/>
)
}
</>
</FeatureGroup>
)}

View File

@ -7,6 +7,8 @@ function useFeature({
setMoreLikeThis,
suggestedQuestionsAfterAnswer,
setSuggestedQuestionsAfterAnswer,
speechToText,
setSpeechToText,
}: {
introduction: string
setIntroduction: (introduction: string) => void
@ -14,13 +16,14 @@ function useFeature({
setMoreLikeThis: (moreLikeThis: boolean) => void
suggestedQuestionsAfterAnswer: boolean
setSuggestedQuestionsAfterAnswer: (suggestedQuestionsAfterAnswer: boolean) => void
speechToText: boolean
setSpeechToText: (speechToText: boolean) => void
}) {
const [tempshowOpeningStatement, setTempShowOpeningStatement] = React.useState(!!introduction)
useEffect(() => {
// wait to api data back
if (!!introduction) {
if (introduction)
setTempShowOpeningStatement(true)
}
}, [introduction])
// const [tempMoreLikeThis, setTempMoreLikeThis] = React.useState(moreLikeThis)
@ -30,15 +33,16 @@ function useFeature({
const featureConfig = {
openingStatement: tempshowOpeningStatement,
moreLikeThis: moreLikeThis,
suggestedQuestionsAfterAnswer: suggestedQuestionsAfterAnswer
moreLikeThis,
suggestedQuestionsAfterAnswer,
speechToText,
}
const handleFeatureChange = (key: string, value: boolean) => {
switch (key) {
case 'openingStatement':
if (!value) {
if (!value)
setIntroduction('')
}
setTempShowOpeningStatement(value)
break
case 'moreLikeThis':
@ -47,12 +51,14 @@ function useFeature({
case 'suggestedQuestionsAfterAnswer':
setSuggestedQuestionsAfterAnswer(value)
break
case 'speechToText':
setSpeechToText(value)
}
}
return {
featureConfig,
handleFeatureChange
handleFeatureChange,
}
}
export default useFeature
export default useFeature

View File

@ -4,6 +4,7 @@ import React from 'react'
import { useContext } from 'use-context-selector'
import produce from 'immer'
import { useBoolean } from 'ahooks'
import useSWR from 'swr'
import DatasetConfig from '../dataset-config'
import ChatGroup from '../features/chat-group'
import ExperienceEnchanceGroup from '../features/experience-enchance-group'
@ -19,6 +20,7 @@ import ConfigPrompt from '@/app/components/app/configuration/config-prompt'
import ConfigVar from '@/app/components/app/configuration/config-var'
import type { PromptVariable } from '@/models/debug'
import { AppType } from '@/types/app'
import { fetchTenantInfo } from '@/service/common'
const Config: FC = () => {
const {
@ -33,8 +35,12 @@ const Config: FC = () => {
setMoreLikeThisConfig,
suggestedQuestionsAfterAnswerConfig,
setSuggestedQuestionsAfterAnswerConfig,
speechToTextConfig,
setSpeechToTextConfig,
} = useContext(ConfigContext)
const isChatApp = mode === AppType.chat
const { data: userInfo } = useSWR({ url: '/info' }, fetchTenantInfo)
const targetProvider = userInfo?.providers?.find(({ token_is_set, is_valid }) => token_is_set && is_valid)
const promptTemplate = modelConfig.configs.prompt_template
const promptVariables = modelConfig.configs.prompt_variables
@ -78,9 +84,15 @@ const Config: FC = () => {
draft.enabled = value
}))
},
speechToText: speechToTextConfig.enabled,
setSpeechToText: (value) => {
setSpeechToTextConfig(produce(speechToTextConfig, (draft) => {
draft.enabled = value
}))
},
})
const hasChatConfig = isChatApp && (featureConfig.openingStatement || featureConfig.suggestedQuestionsAfterAnswer)
const hasChatConfig = isChatApp && (featureConfig.openingStatement || featureConfig.suggestedQuestionsAfterAnswer || (featureConfig.speechToText && targetProvider?.provider_name === 'openai'))
const hasToolbox = false
const [showAutomatic, { setTrue: showAutomaticTrue, setFalse: showAutomaticFalse }] = useBoolean(false)
@ -110,6 +122,7 @@ const Config: FC = () => {
isChatApp={isChatApp}
config={featureConfig}
onChange={handleFeatureChange}
showSpeechToTextItem={targetProvider?.provider_name === 'openai'}
/>
)}
{showAutomatic && (
@ -149,6 +162,7 @@ const Config: FC = () => {
}
}
isShowSuggestedQuestionsAfterAnswer={featureConfig.suggestedQuestionsAfterAnswer}
isShowSpeechText={featureConfig.speechToText}
/>
)
}

View File

@ -5,6 +5,7 @@ import { useTranslation } from 'react-i18next'
import { useContext } from 'use-context-selector'
import { useBoolean } from 'ahooks'
import { isEqual } from 'lodash-es'
import produce from 'immer'
import FeaturePanel from '../base/feature-panel'
import OperationBtn from '../base/operation-btn'
import CardItem from './card-item'
@ -31,11 +32,27 @@ const DatasetConfig: FC = () => {
const hasData = dataSet.length > 0
const [isShowSelectDataSet, { setTrue: showSelectDataSet, setFalse: hideSelectDataSet }] = useBoolean(false)
const handleSelect = (data: DataSet[]) => {
if (isEqual(data, dataSet))
if (isEqual(data.map(item => item.id), dataSet.map(item => item.id))) {
hideSelectDataSet()
return
}
setFormattingChanged(true)
setDataSet(data)
if (data.find(item => !item.name)) { // has not loaded selected dataset
const newSelected = produce(data, (draft) => {
data.forEach((item, index) => {
if (!item.name) { // not fetched database
const newItem = dataSet.find(i => i.id === item.id)
if (newItem)
draft[index] = newItem
}
})
})
setDataSet(newSelected)
}
else {
setDataSet(data)
}
hideSelectDataSet()
}
const onRemove = (id: string) => {

View File

@ -5,6 +5,7 @@ import { useGetState, useInfiniteScroll } from 'ahooks'
import cn from 'classnames'
import { useTranslation } from 'react-i18next'
import Link from 'next/link'
import produce from 'immer'
import TypeIcon from '../type-icon'
import s from './style.module.css'
import Modal from '@/app/components/base/modal'
@ -28,7 +29,7 @@ const SelectDataSet: FC<ISelectDataSetProps> = ({
onSelect,
}) => {
const { t } = useTranslation()
const [selected, setSelected] = React.useState<DataSet[]>([])
const [selected, setSelected] = React.useState<DataSet[]>(selectedIds.map(id => ({ id }) as any))
const [loaded, setLoaded] = React.useState(false)
const [datasets, setDataSets] = React.useState<DataSet[] | null>(null)
const hasNoData = !datasets || datasets?.length === 0
@ -47,7 +48,19 @@ const SelectDataSet: FC<ISelectDataSetProps> = ({
const newList = [...(datasets || []), ...data]
setDataSets(newList)
setLoaded(true)
setSelected(newList.filter(item => selectedIds.includes(item.id)))
if (!selected.find(item => !item.name))
return { list: [] }
const newSelected = produce(selected, (draft) => {
selected.forEach((item, index) => {
if (!item.name) { // not fetched database
const newItem = newList.find(i => i.id === item.id)
if (newItem)
draft[index] = newItem
}
})
})
setSelected(newSelected)
}
return { list: [] }
},

View File

@ -38,6 +38,7 @@ const Debug: FC<IDebug> = ({
mode,
introduction,
suggestedQuestionsAfterAnswerConfig,
speechToTextConfig,
moreLikeThisConfig,
inputs,
// setInputs,
@ -159,6 +160,7 @@ const Debug: FC<IDebug> = ({
enabled: false,
},
suggested_questions_after_answer: suggestedQuestionsAfterAnswerConfig,
speech_to_text: speechToTextConfig,
agent_mode: {
enabled: true,
tools: [...postDatasets],
@ -308,6 +310,7 @@ const Debug: FC<IDebug> = ({
user_input_form: promptVariablesToUserInputsForm(modelConfig.configs.prompt_variables),
opening_statement: introduction,
suggested_questions_after_answer: suggestedQuestionsAfterAnswerConfig,
speech_to_text: speechToTextConfig,
more_like_this: moreLikeThisConfig,
agent_mode: {
enabled: true,
@ -386,6 +389,7 @@ const Debug: FC<IDebug> = ({
}}
isShowSuggestion={doShowSuggestion}
suggestionList={suggestQuestions}
isShowSpeechToText={speechToTextConfig.enabled}
/>
</div>
</div>

View File

@ -1,25 +1,30 @@
'use client'
import React, { FC } from 'react'
import GroupName from '../../base/group-name'
import OpeningStatement, { IOpeningStatementProps } from './opening-statement'
import SuggestedQuestionsAfterAnswer from './suggested-questions-after-answer'
import type { FC } from 'react'
import React from 'react'
import { useTranslation } from 'react-i18next'
import GroupName from '../../base/group-name'
import type { IOpeningStatementProps } from './opening-statement'
import OpeningStatement from './opening-statement'
import SuggestedQuestionsAfterAnswer from './suggested-questions-after-answer'
import SpeechToText from './speech-to-text'
/*
* Include
* Include
* 1. Conversation Opener
* 2. Opening Suggestion
* 3. Next question suggestion
*/
interface ChatGroupProps {
type ChatGroupProps = {
isShowOpeningStatement: boolean
openingStatementConfig: IOpeningStatementProps
isShowSuggestedQuestionsAfterAnswer: boolean
isShowSpeechText: boolean
}
const ChatGroup: FC<ChatGroupProps> = ({
isShowOpeningStatement,
openingStatementConfig,
isShowSuggestedQuestionsAfterAnswer
isShowSuggestedQuestionsAfterAnswer,
isShowSpeechText,
}) => {
const { t } = useTranslation()
@ -33,6 +38,11 @@ const ChatGroup: FC<ChatGroupProps> = ({
{isShowSuggestedQuestionsAfterAnswer && (
<SuggestedQuestionsAfterAnswer />
)}
{
isShowSpeechText && (
<SpeechToText />
)
}
</div>
</div>
)

View File

@ -0,0 +1,25 @@
'use client'
import React, { type FC } from 'react'
import { useTranslation } from 'react-i18next'
import Panel from '@/app/components/app/configuration/base/feature-panel'
import { Microphone01 } from '@/app/components/base/icons/src/vender/solid/mediaAndDevices'
const SuggestedQuestionsAfterAnswer: FC = () => {
const { t } = useTranslation()
return (
<Panel
title={
<div className='flex items-center gap-2'>
<div>{t('appDebug.feature.speechToText.title')}</div>
</div>
}
headerIcon={<Microphone01 className='w-4 h-4 text-[#7839EE]' />}
headerRight={
<div className='text-xs text-gray-500'>{t('appDebug.feature.speechToText.resDes')}</div>
}
noBodySpacing
/>
)
}
export default React.memo(SuggestedQuestionsAfterAnswer)

View File

@ -53,6 +53,9 @@ const Configuration: FC = () => {
const [suggestedQuestionsAfterAnswerConfig, setSuggestedQuestionsAfterAnswerConfig] = useState<MoreLikeThisConfig>({
enabled: false,
})
const [speechToTextConfig, setSpeechToTextConfig] = useState<MoreLikeThisConfig>({
enabled: false,
})
const [formattingChanged, setFormattingChanged] = useState(false)
const [inputs, setInputs] = useState<Inputs>({})
const [query, setQuery] = useState('')
@ -73,6 +76,7 @@ const Configuration: FC = () => {
opening_statement: '',
more_like_this: null,
suggested_questions_after_answer: null,
speech_to_text: null,
dataSets: [],
})
@ -102,6 +106,9 @@ const Configuration: FC = () => {
setSuggestedQuestionsAfterAnswerConfig(modelConfig.suggested_questions_after_answer || {
enabled: false,
})
setSpeechToTextConfig(modelConfig.speech_to_text || {
enabled: false,
})
}
const [hasSetCustomAPIKEY, setHasSetCustomerAPIKEY] = useState(true)
@ -146,6 +153,9 @@ const Configuration: FC = () => {
if (modelConfig.suggested_questions_after_answer)
setSuggestedQuestionsAfterAnswerConfig(modelConfig.suggested_questions_after_answer)
if (modelConfig.speech_to_text)
setSpeechToTextConfig(modelConfig.speech_to_text)
const config = {
modelConfig: {
provider: model.provider,
@ -157,6 +167,7 @@ const Configuration: FC = () => {
opening_statement: modelConfig.opening_statement,
more_like_this: modelConfig.more_like_this,
suggested_questions_after_answer: modelConfig.suggested_questions_after_answer,
speech_to_text: modelConfig.speech_to_text,
dataSets: datasets || [],
},
completionParams: model.completion_params,
@ -187,6 +198,7 @@ const Configuration: FC = () => {
opening_statement: introduction || '',
more_like_this: moreLikeThisConfig,
suggested_questions_after_answer: suggestedQuestionsAfterAnswerConfig,
speech_to_text: speechToTextConfig,
agent_mode: {
enabled: true,
tools: [...postDatasets],
@ -203,6 +215,7 @@ const Configuration: FC = () => {
draft.opening_statement = introduction
draft.more_like_this = moreLikeThisConfig
draft.suggested_questions_after_answer = suggestedQuestionsAfterAnswerConfig
draft.speech_to_text = speechToTextConfig
draft.dataSets = dataSets
})
setPublishedConfig({
@ -245,6 +258,8 @@ const Configuration: FC = () => {
setMoreLikeThisConfig,
suggestedQuestionsAfterAnswerConfig,
setSuggestedQuestionsAfterAnswerConfig,
speechToTextConfig,
setSpeechToTextConfig,
formattingChanged,
setFormattingChanged,
inputs,

View File

@ -83,17 +83,6 @@ const SettingsModal: FC<ISettingsModalProps> = ({
return (
<>
{showEmojiPicker && <EmojiPicker
onSelect={(icon, icon_background) => {
console.log(icon, icon_background)
setEmoji({ icon, icon_background })
setShowEmojiPicker(false)
}}
onClose={() => {
setEmoji({ icon: '🤖', icon_background: '#FFEAD5' })
setShowEmojiPicker(false)
}}
/>}
<Modal
title={t(`${prefixSettings}.title`)}
isShow={isShow}
@ -161,6 +150,17 @@ const SettingsModal: FC<ISettingsModalProps> = ({
<Button className='mr-2 flex-shrink-0' onClick={onHide}>{t('common.operation.cancel')}</Button>
<Button type='primary' className='flex-shrink-0' onClick={onClickSave} loading={saveLoading}>{t('common.operation.save')}</Button>
</div>
{showEmojiPicker && <EmojiPicker
onSelect={(icon, icon_background) => {
console.log(icon, icon_background)
setEmoji({ icon, icon_background })
setShowEmojiPicker(false)
}}
onClose={() => {
setEmoji({ icon: '🤖', icon_background: '#FFEAD5' })
setShowEmojiPicker(false)
}}
/>}
</Modal >
</>

View File

@ -1,11 +1,12 @@
'use client'
import type { FC } from 'react'
import React, { useState } from 'react'
import React, { useEffect, useState } from 'react'
import { useTranslation } from 'react-i18next'
import cn from 'classnames'
import copy from 'copy-to-clipboard'
import { HandThumbDownIcon, HandThumbUpIcon } from '@heroicons/react/24/outline'
import { useBoolean } from 'ahooks'
import { HashtagIcon } from '@heroicons/react/24/solid'
import { Markdown } from '@/app/components/base/markdown'
import Loading from '@/app/components/base/loading'
import Toast from '@/app/components/base/toast'
@ -27,6 +28,8 @@ export type IGenerationItemProps = {
isMobile?: boolean
isInstalledApp: boolean
installedAppId?: string
taskId?: string
controlClearMoreLikeThis?: number
}
export const SimpleBtn = ({ className, onClick, children }: {
@ -81,6 +84,8 @@ const GenerationItem: FC<IGenerationItemProps> = ({
isMobile,
isInstalledApp,
installedAppId,
taskId,
controlClearMoreLikeThis,
}) => {
const { t } = useTranslation()
const isTop = depth === 1
@ -112,6 +117,7 @@ const GenerationItem: FC<IGenerationItemProps> = ({
isMobile,
isInstalledApp,
installedAppId,
controlClearMoreLikeThis,
}
const handleMoreLikeThis = async () => {
@ -138,6 +144,14 @@ const GenerationItem: FC<IGenerationItemProps> = ({
return res
})()
useEffect(() => {
if (controlClearMoreLikeThis) {
setChildMessageId(null)
setCompletionRes('')
}
}, [controlClearMoreLikeThis])
return (
<div className={cn(className, isTop ? 'rounded-xl border border-gray-200 bg-white' : 'rounded-br-xl !mt-0')}
style={isTop
@ -155,6 +169,12 @@ const GenerationItem: FC<IGenerationItemProps> = ({
className={cn(!isTop && 'rounded-br-xl border-l-2 border-primary-400', 'p-4')}
style={mainStyle}
>
{(isTop && taskId) && (
<div className='mb-2 text-gray-500 border border-gray-200 box-border flex items-center rounded-md italic text-[11px] pl-1 pr-1.5 font-medium w-fit group-hover:opacity-100'>
<HashtagIcon className='w-3 h-3 text-gray-400 fill-current mr-1 stroke-current stroke-1' />
{taskId}
</div>)
}
<Markdown content={content} />
{messageId && (
<div className='flex items-center justify-between mt-3'>

View File

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"id": "File Icons/csv"
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{
"type": "element",
"name": "g",
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},
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"type": "element",
"name": "feFlood",
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"flood-opacity": "0",
"result": "BackgroundImageFix"
},
"children": []
},
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"type": "element",
"name": "feColorMatrix",
"attributes": {
"in": "SourceAlpha",
"type": "matrix",
"values": "0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 127 0",
"result": "hardAlpha"
},
"children": []
},
{
"type": "element",
"name": "feOffset",
"attributes": {
"dy": "1"
},
"children": []
},
{
"type": "element",
"name": "feGaussianBlur",
"attributes": {
"stdDeviation": "1"
},
"children": []
},
{
"type": "element",
"name": "feColorMatrix",
"attributes": {
"type": "matrix",
"values": "0 0 0 0 0.0627451 0 0 0 0 0.0941176 0 0 0 0 0.156863 0 0 0 0.05 0"
},
"children": []
},
{
"type": "element",
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"in2": "BackgroundImageFix",
"result": "effect1_dropShadow_6816_769"
},
"children": []
},
{
"type": "element",
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"mode": "normal",
"in": "SourceGraphic",
"in2": "effect1_dropShadow_6816_769",
"result": "shape"
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}
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},
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}

View File

@ -0,0 +1,14 @@
// GENERATE BY script
// DON NOT EDIT IT MANUALLY
import * as React from 'react'
import data from './Csv.json'
import IconBase from '@/app/components/base/icons/IconBase'
import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
props,
ref,
) => <IconBase {...props} ref={ref} data={data as IconData} />)
export default Icon

View File

@ -1 +1,2 @@
export { default as Csv } from './Csv'
export { default as Md } from './Md'

View File

@ -0,0 +1,64 @@
{
"icon": {
"type": "element",
"isRootNode": true,
"name": "svg",
"attributes": {
"width": "16",
"height": "16",
"viewBox": "0 0 16 16",
"fill": "none",
"xmlns": "http://www.w3.org/2000/svg"
},
"children": [
{
"type": "element",
"name": "g",
"attributes": {
"clip-path": "url(#clip0_6037_51601)"
},
"children": [
{
"type": "element",
"name": "path",
"attributes": {
"d": "M7.99992 1.33398V4.00065M7.99992 12.0007V14.6673M3.99992 8.00065H1.33325M14.6666 8.00065H11.9999M12.7189 12.7196L10.8333 10.834M12.7189 3.33395L10.8333 5.21956M3.28097 12.7196L5.16659 10.834M3.28097 3.33395L5.16659 5.21956",
"stroke": "currentColor",
"stroke-width": "1.25",
"stroke-linecap": "round",
"stroke-linejoin": "round"
},
"children": []
}
]
},
{
"type": "element",
"name": "defs",
"attributes": {},
"children": [
{
"type": "element",
"name": "clipPath",
"attributes": {
"id": "clip0_6037_51601"
},
"children": [
{
"type": "element",
"name": "rect",
"attributes": {
"width": "16",
"height": "16",
"fill": "white"
},
"children": []
}
]
}
]
}
]
},
"name": "Loading02"
}

View File

@ -0,0 +1,14 @@
// GENERATE BY script
// DON NOT EDIT IT MANUALLY
import * as React from 'react'
import data from './Loading02.json'
import IconBase from '@/app/components/base/icons/IconBase'
import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
props,
ref,
) => <IconBase {...props} ref={ref} data={data as IconData} />)
export default Icon

View File

@ -0,0 +1,39 @@
{
"icon": {
"type": "element",
"isRootNode": true,
"name": "svg",
"attributes": {
"width": "16",
"height": "16",
"viewBox": "0 0 16 16",
"fill": "none",
"xmlns": "http://www.w3.org/2000/svg"
},
"children": [
{
"type": "element",
"name": "g",
"attributes": {
"id": "x"
},
"children": [
{
"type": "element",
"name": "path",
"attributes": {
"id": "Icon",
"d": "M11.3334 4.66663L4.66675 11.3333M4.66675 4.66663L11.3334 11.3333",
"stroke": "currentColor",
"stroke-width": "1.5",
"stroke-linecap": "round",
"stroke-linejoin": "round"
},
"children": []
}
]
}
]
},
"name": "X"
}

View File

@ -0,0 +1,14 @@
// GENERATE BY script
// DON NOT EDIT IT MANUALLY
import * as React from 'react'
import data from './X.json'
import IconBase from '@/app/components/base/icons/IconBase'
import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
props,
ref,
) => <IconBase {...props} ref={ref} data={data as IconData} />)
export default Icon

View File

@ -0,0 +1,39 @@
{
"icon": {
"type": "element",
"isRootNode": true,
"name": "svg",
"attributes": {
"width": "16",
"height": "16",
"viewBox": "0 0 16 16",
"fill": "none",
"xmlns": "http://www.w3.org/2000/svg"
},
"children": [
{
"type": "element",
"name": "g",
"attributes": {
"id": "x-close"
},
"children": [
{
"type": "element",
"name": "path",
"attributes": {
"id": "Icon",
"d": "M12 4L4 12M4 4L12 12",
"stroke": "currentColor",
"stroke-width": "1.25",
"stroke-linecap": "round",
"stroke-linejoin": "round"
},
"children": []
}
]
}
]
},
"name": "XClose"
}

View File

@ -0,0 +1,14 @@
// GENERATE BY script
// DON NOT EDIT IT MANUALLY
import * as React from 'react'
import data from './XClose.json'
import IconBase from '@/app/components/base/icons/IconBase'
import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
props,
ref,
) => <IconBase {...props} ref={ref} data={data as IconData} />)
export default Icon

View File

@ -1 +1,4 @@
export { default as Loading02 } from './Loading02'
export { default as Trash03 } from './Trash03'
export { default as XClose } from './XClose'
export { default as X } from './X'

View File

@ -0,0 +1,39 @@
{
"icon": {
"type": "element",
"isRootNode": true,
"name": "svg",
"attributes": {
"width": "16",
"height": "16",
"viewBox": "0 0 16 16",
"fill": "none",
"xmlns": "http://www.w3.org/2000/svg"
},
"children": [
{
"type": "element",
"name": "g",
"attributes": {
"id": "microphone-01"
},
"children": [
{
"type": "element",
"name": "path",
"attributes": {
"id": "Icon",
"d": "M12.6666 6.66732V8.00065C12.6666 10.578 10.5772 12.6673 7.99992 12.6673M3.33325 6.66732V8.00065C3.33325 10.578 5.42259 12.6673 7.99992 12.6673M7.99992 12.6673V14.6673M5.33325 14.6673H10.6666M7.99992 10.0007C6.89535 10.0007 5.99992 9.10522 5.99992 8.00065V3.33398C5.99992 2.22941 6.89535 1.33398 7.99992 1.33398C9.10449 1.33398 9.99992 2.22941 9.99992 3.33398V8.00065C9.99992 9.10522 9.10449 10.0007 7.99992 10.0007Z",
"stroke": "currentColor",
"stroke-width": "1.25",
"stroke-linecap": "round",
"stroke-linejoin": "round"
},
"children": []
}
]
}
]
},
"name": "Microphone01"
}

View File

@ -0,0 +1,14 @@
// GENERATE BY script
// DON NOT EDIT IT MANUALLY
import * as React from 'react'
import data from './Microphone01.json'
import IconBase from '@/app/components/base/icons/IconBase'
import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
props,
ref,
) => <IconBase {...props} ref={ref} data={data as IconData} />)
export default Icon

View File

@ -0,0 +1 @@
export { default as Microphone01 } from './Microphone01'

View File

@ -0,0 +1,38 @@
{
"icon": {
"type": "element",
"isRootNode": true,
"name": "svg",
"attributes": {
"width": "12",
"height": "12",
"viewBox": "0 0 12 12",
"fill": "none",
"xmlns": "http://www.w3.org/2000/svg"
},
"children": [
{
"type": "element",
"name": "g",
"attributes": {
"id": "alert-triangle"
},
"children": [
{
"type": "element",
"name": "path",
"attributes": {
"id": "Solid",
"fill-rule": "evenodd",
"clip-rule": "evenodd",
"d": "M6.40616 0.834185C6.14751 0.719172 5.85222 0.719172 5.59356 0.834185C5.3938 0.923011 5.26403 1.07947 5.17373 1.20696C5.08495 1.3323 4.9899 1.49651 4.88536 1.67711L0.751783 8.81693C0.646828 8.99818 0.551451 9.16289 0.486781 9.30268C0.421056 9.44475 0.349754 9.63572 0.372478 9.85369C0.401884 10.1357 0.549654 10.392 0.779012 10.5588C0.956259 10.6877 1.15726 10.7217 1.31314 10.736C1.46651 10.75 1.65684 10.75 1.86628 10.75H10.1334C10.3429 10.75 10.5332 10.75 10.6866 10.736C10.8425 10.7217 11.0435 10.6877 11.2207 10.5588C11.4501 10.392 11.5978 10.1357 11.6272 9.85369C11.65 9.63572 11.5787 9.44475 11.5129 9.30268C11.4483 9.1629 11.3529 8.9982 11.248 8.81697L7.11436 1.67709C7.00983 1.49651 6.91477 1.3323 6.82599 1.20696C6.73569 1.07947 6.60593 0.923011 6.40616 0.834185ZM6.49988 4.5C6.49988 4.22386 6.27602 4 5.99988 4C5.72374 4 5.49988 4.22386 5.49988 4.5V6.5C5.49988 6.77614 5.72374 7 5.99988 7C6.27602 7 6.49988 6.77614 6.49988 6.5V4.5ZM5.99988 8C5.72374 8 5.49988 8.22386 5.49988 8.5C5.49988 8.77614 5.72374 9 5.99988 9H6.00488C6.28102 9 6.50488 8.77614 6.50488 8.5C6.50488 8.22386 6.28102 8 6.00488 8H5.99988Z",
"fill": "currentColor"
},
"children": []
}
]
}
]
},
"name": "AlertTriangle"
}

View File

@ -0,0 +1,14 @@
// GENERATE BY script
// DON NOT EDIT IT MANUALLY
import * as React from 'react'
import data from './AlertTriangle.json'
import IconBase from '@/app/components/base/icons/IconBase'
import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
props,
ref,
) => <IconBase {...props} ref={ref} data={data as IconData} />)
export default Icon

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@ -0,0 +1 @@
export { default as AlertTriangle } from './AlertTriangle'

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@ -0,0 +1,29 @@
{
"icon": {
"type": "element",
"isRootNode": true,
"name": "svg",
"attributes": {
"width": "24",
"height": "24",
"viewBox": "0 0 24 24",
"fill": "none",
"xmlns": "http://www.w3.org/2000/svg"
},
"children": [
{
"type": "element",
"name": "path",
"attributes": {
"d": "M21 21H3M18 11L12 17M12 17L6 11M12 17V3",
"stroke": "currentColor",
"stroke-width": "2",
"stroke-linecap": "round",
"stroke-linejoin": "round"
},
"children": []
}
]
},
"name": "Download02"
}

View File

@ -0,0 +1,14 @@
// GENERATE BY script
// DON NOT EDIT IT MANUALLY
import * as React from 'react'
import data from './Download02.json'
import IconBase from '@/app/components/base/icons/IconBase'
import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
props,
ref,
) => <IconBase {...props} ref={ref} data={data as IconData} />)
export default Icon

View File

@ -0,0 +1,29 @@
{
"icon": {
"type": "element",
"isRootNode": true,
"name": "svg",
"attributes": {
"width": "16",
"height": "16",
"viewBox": "0 0 16 16",
"fill": "none",
"xmlns": "http://www.w3.org/2000/svg"
},
"children": [
{
"type": "element",
"name": "path",
"attributes": {
"id": "Solid",
"fill-rule": "evenodd",
"clip-rule": "evenodd",
"d": "M8.00008 0.666016C3.94999 0.666016 0.666748 3.94926 0.666748 7.99935C0.666748 12.0494 3.94999 15.3327 8.00008 15.3327C12.0502 15.3327 15.3334 12.0494 15.3334 7.99935C15.3334 3.94926 12.0502 0.666016 8.00008 0.666016ZM10.4715 5.52794C10.7318 5.78829 10.7318 6.2104 10.4715 6.47075L8.94289 7.99935L10.4715 9.52794C10.7318 9.78829 10.7318 10.2104 10.4715 10.4708C10.2111 10.7311 9.78903 10.7311 9.52868 10.4708L8.00008 8.94216L6.47149 10.4708C6.21114 10.7311 5.78903 10.7311 5.52868 10.4708C5.26833 10.2104 5.26833 9.78829 5.52868 9.52794L7.05727 7.99935L5.52868 6.47075C5.26833 6.2104 5.26833 5.78829 5.52868 5.52794C5.78903 5.26759 6.21114 5.26759 6.47149 5.52794L8.00008 7.05654L9.52868 5.52794C9.78903 5.26759 10.2111 5.26759 10.4715 5.52794Z",
"fill": "currentColor"
},
"children": []
}
]
},
"name": "XCircle"
}

View File

@ -0,0 +1,14 @@
// GENERATE BY script
// DON NOT EDIT IT MANUALLY
import * as React from 'react'
import data from './XCircle.json'
import IconBase from '@/app/components/base/icons/IconBase'
import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
props,
ref,
) => <IconBase {...props} ref={ref} data={data as IconData} />)
export default Icon

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@ -0,0 +1,2 @@
export { default as Download02 } from './Download02'
export { default as XCircle } from './XCircle'

View File

@ -0,0 +1,55 @@
{
"icon": {
"type": "element",
"isRootNode": true,
"name": "svg",
"attributes": {
"width": "16",
"height": "16",
"viewBox": "0 0 16 16",
"fill": "none",
"xmlns": "http://www.w3.org/2000/svg"
},
"children": [
{
"type": "element",
"name": "g",
"attributes": {
"id": "microphone-01"
},
"children": [
{
"type": "element",
"name": "g",
"attributes": {
"id": "Solid"
},
"children": [
{
"type": "element",
"name": "path",
"attributes": {
"fill-rule": "evenodd",
"clip-rule": "evenodd",
"d": "M8.00008 0.666016C6.52732 0.666016 5.33341 1.85992 5.33341 3.33268V7.99935C5.33341 9.47211 6.52732 10.666 8.00008 10.666C9.47284 10.666 10.6667 9.47211 10.6667 7.99935V3.33268C10.6667 1.85992 9.47284 0.666016 8.00008 0.666016Z",
"fill": "currentColor"
},
"children": []
},
{
"type": "element",
"name": "path",
"attributes": {
"d": "M4.00008 6.66602C4.00008 6.29783 3.7016 5.99935 3.33341 5.99935C2.96522 5.99935 2.66675 6.29783 2.66675 6.66602V7.99935C2.66675 10.7195 4.70319 12.9641 7.33466 13.2916C7.33384 13.3052 7.33341 13.3189 7.33341 13.3327V13.9993H5.33341C4.96522 13.9993 4.66675 14.2978 4.66675 14.666C4.66675 15.0342 4.96522 15.3327 5.33341 15.3327H10.6667C11.0349 15.3327 11.3334 15.0342 11.3334 14.666C11.3334 14.2978 11.0349 13.9993 10.6667 13.9993H8.66675V13.3327C8.66675 13.3189 8.66633 13.3052 8.6655 13.2916C11.297 12.9641 13.3334 10.7195 13.3334 7.99935V6.66602C13.3334 6.29783 13.0349 5.99935 12.6667 5.99935C12.2986 5.99935 12.0001 6.29783 12.0001 6.66602V7.99935C12.0001 10.2085 10.2092 11.9993 8.00008 11.9993C5.79094 11.9993 4.00008 10.2085 4.00008 7.99935V6.66602Z",
"fill": "currentColor"
},
"children": []
}
]
}
]
}
]
},
"name": "Microphone01"
}

View File

@ -0,0 +1,14 @@
// GENERATE BY script
// DON NOT EDIT IT MANUALLY
import * as React from 'react'
import data from './Microphone01.json'
import IconBase from '@/app/components/base/icons/IconBase'
import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
props,
ref,
) => <IconBase {...props} ref={ref} data={data as IconData} />)
export default Icon

View File

@ -0,0 +1,38 @@
{
"icon": {
"type": "element",
"isRootNode": true,
"name": "svg",
"attributes": {
"width": "20",
"height": "20",
"viewBox": "0 0 20 20",
"fill": "none",
"xmlns": "http://www.w3.org/2000/svg"
},
"children": [
{
"type": "element",
"name": "g",
"attributes": {
"id": "stop-circle"
},
"children": [
{
"type": "element",
"name": "path",
"attributes": {
"id": "Solid",
"fill-rule": "evenodd",
"clip-rule": "evenodd",
"d": "M9.99992 0.833984C4.93731 0.833984 0.833252 4.93804 0.833252 10.0007C0.833252 15.0633 4.93731 19.1673 9.99992 19.1673C15.0625 19.1673 19.1666 15.0633 19.1666 10.0007C19.1666 4.93804 15.0625 0.833984 9.99992 0.833984ZM6.75741 7.12232C6.66658 7.30058 6.66658 7.53394 6.66658 8.00065V12.0006C6.66658 12.4674 6.66658 12.7007 6.75741 12.879C6.83731 13.0358 6.96479 13.1633 7.12159 13.2432C7.29985 13.334 7.53321 13.334 7.99992 13.334H11.9999C12.4666 13.334 12.7 13.334 12.8782 13.2432C13.035 13.1633 13.1625 13.0358 13.2424 12.879C13.3333 12.7007 13.3333 12.4674 13.3333 12.0006V8.00065C13.3333 7.53394 13.3333 7.30058 13.2424 7.12232C13.1625 6.96552 13.035 6.83804 12.8782 6.75814C12.7 6.66732 12.4666 6.66732 11.9999 6.66732H7.99992C7.53321 6.66732 7.29985 6.66732 7.12159 6.75814C6.96479 6.83804 6.83731 6.96552 6.75741 7.12232Z",
"fill": "currentColor"
},
"children": []
}
]
}
]
},
"name": "StopCircle"
}

View File

@ -0,0 +1,14 @@
// GENERATE BY script
// DON NOT EDIT IT MANUALLY
import * as React from 'react'
import data from './StopCircle.json'
import IconBase from '@/app/components/base/icons/IconBase'
import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
props,
ref,
) => <IconBase {...props} ref={ref} data={data as IconData} />)
export default Icon

View File

@ -0,0 +1,2 @@
export { default as Microphone01 } from './Microphone01'
export { default as StopCircle } from './StopCircle'

View File

@ -1,15 +1,19 @@
'use client'
import React, { FC } from 'react'
import type { FC } from 'react'
import React from 'react'
import cn from 'classnames'
import s from './style.module.css'
export interface ITabHeaderProps {
items: {
id: string
name: string
extra?: React.ReactNode
}[]
type Item = {
id: string
name: string
isRight?: boolean
extra?: React.ReactNode
}
export type ITabHeaderProps = {
items: Item[]
value: string
onChange: (value: string) => void
}
@ -17,20 +21,26 @@ export interface ITabHeaderProps {
const TabHeader: FC<ITabHeaderProps> = ({
items,
value,
onChange
onChange,
}) => {
const renderItem = ({ id, name, extra }: Item) => (
<div
key={id}
className={cn(id === value ? `${s.itemActive} text-gray-900` : 'text-gray-500', 'relative flex items-center pb-1.5 leading-6 cursor-pointer')}
onClick={() => onChange(id)}
>
<div className='text-base font-semibold'>{name}</div>
{extra || ''}
</div>
)
return (
<div className='flex space-x-4 border-b border-gray-200 '>
{items.map(({ id, name, extra }) => (
<div
key={id}
className={cn(id === value ? `${s.itemActive} text-gray-900` : 'text-gray-500', 'relative flex items-center pb-1.5 leading-6 cursor-pointer')}
onClick={() => onChange(id)}
>
<div className='text-base font-semibold'>{name}</div>
{extra ? extra : ''}
</div>
))}
<div className='flex justify-between border-b border-gray-200 '>
<div className='flex space-x-4'>
{items.filter(item => !item.isRight).map(renderItem)}
</div>
<div className='flex space-x-4'>
{items.filter(item => item.isRight).map(renderItem)}
</div>
</div>
)
}

View File

@ -0,0 +1,10 @@
.wrapper {
background: linear-gradient(131deg, #2250F2 0%, #0EBCF3 100%);
box-shadow: 0px 4px 6px -2px rgba(16, 24, 40, 0.03), 0px 12px 16px -4px rgba(16, 24, 40, 0.08);
}
.convert {
background: linear-gradient(91.92deg, #104AE1 -1.74%, #0098EE 75.74%);
background-clip: text;
color: transparent;
}

View File

@ -0,0 +1,200 @@
import { useCallback, useEffect, useRef, useState } from 'react'
import { useTranslation } from 'react-i18next'
import { useParams, usePathname } from 'next/navigation'
import cn from 'classnames'
import Recorder from 'js-audio-recorder'
import { useRafInterval } from 'ahooks'
import s from './index.module.css'
import { StopCircle } from '@/app/components/base/icons/src/vender/solid/mediaAndDevices'
import { Loading02, XClose } from '@/app/components/base/icons/src/vender/line/general'
import { audioToText } from '@/service/share'
type VoiceInputTypes = {
onConverted: (text: string) => void
onCancel: () => void
}
const VoiceInput = ({
onCancel,
onConverted,
}: VoiceInputTypes) => {
const { t } = useTranslation()
const recorder = useRef(new Recorder())
const canvasRef = useRef<HTMLCanvasElement | null>(null)
const ctxRef = useRef<CanvasRenderingContext2D | null>(null)
const drawRecordId = useRef<number | null>(null)
const [originDuration, setOriginDuration] = useState(0)
const [startRecord, setStartRecord] = useState(false)
const [startConvert, setStartConvert] = useState(false)
const pathname = usePathname()
const params = useParams()
const clearInterval = useRafInterval(() => {
setOriginDuration(originDuration + 1)
}, 1000)
const drawRecord = useCallback(() => {
drawRecordId.current = requestAnimationFrame(drawRecord)
const canvas = canvasRef.current!
const ctx = ctxRef.current!
const dataUnit8Array = recorder.current.getRecordAnalyseData()
const dataArray = [].slice.call(dataUnit8Array)
const lineLength = parseInt(`${canvas.width / 3}`)
const gap = parseInt(`${1024 / lineLength}`)
ctx.clearRect(0, 0, canvas.width, canvas.height)
ctx.beginPath()
let x = 0
for (let i = 0; i < lineLength; i++) {
let v = dataArray.slice(i * gap, i * gap + gap).reduce((prev: number, next: number) => {
return prev + next
}, 0) / gap
if (v < 128)
v = 128
if (v > 178)
v = 178
const y = (v - 128) / 50 * canvas.height
ctx.moveTo(x, 16)
if (ctx.roundRect)
ctx.roundRect(x, 16 - y, 2, y, [1, 1, 0, 0])
else
ctx.rect(x, 16 - y, 2, y)
ctx.fill()
x += 3
}
ctx.closePath()
}, [])
const handleStopRecorder = useCallback(async () => {
clearInterval()
setStartRecord(false)
setStartConvert(true)
recorder.current.stop()
drawRecordId.current && cancelAnimationFrame(drawRecordId.current)
drawRecordId.current = null
const canvas = canvasRef.current!
const ctx = ctxRef.current!
ctx.clearRect(0, 0, canvas.width, canvas.height)
const wavBlob = recorder.current.getWAVBlob()
const wavFile = new File([wavBlob], 'a.wav', { type: 'audio/wav' })
const formData = new FormData()
formData.append('file', wavFile)
let url = ''
let isPublic = false
if (params.token) {
url = '/audio-to-text'
isPublic = true
}
else if (params.appId) {
if (pathname.search('explore/installed') > -1)
url = `/installed-apps/${params.appId}/audio-to-text`
else
url = `/apps/${params.appId}/audio-to-text`
}
try {
const audioResponse = await audioToText(url, isPublic, formData)
onConverted(audioResponse.text)
onCancel()
}
catch (e) {
onConverted('')
onCancel()
}
}, [])
const handleStartRecord = async () => {
try {
await recorder.current.start()
setStartRecord(true)
setStartConvert(false)
if (canvasRef.current && ctxRef.current)
drawRecord()
}
catch (e) {
onCancel()
}
}
const initCanvas = () => {
const dpr = window.devicePixelRatio || 1
const canvas = document.getElementById('voice-input-record') as HTMLCanvasElement
if (canvas) {
const { width: cssWidth, height: cssHeight } = canvas.getBoundingClientRect()
canvas.width = dpr * cssWidth
canvas.height = dpr * cssHeight
canvasRef.current = canvas
const ctx = canvas.getContext('2d')
if (ctx) {
ctx.scale(dpr, dpr)
ctx.fillStyle = 'rgba(209, 224, 255, 1)'
ctxRef.current = ctx
}
}
}
if (originDuration >= 120 && startRecord)
handleStopRecorder()
useEffect(() => {
initCanvas()
handleStartRecord()
}, [])
const minutes = parseInt(`${parseInt(`${originDuration}`) / 60}`)
const seconds = parseInt(`${originDuration}`) % 60
return (
<div className={cn(s.wrapper, 'absolute inset-0 rounded-xl')}>
<div className='absolute inset-[1.5px] flex items-center pl-[14.5px] pr-[6.5px] py-[14px] bg-primary-25 rounded-[10.5px] overflow-hidden'>
<canvas id='voice-input-record' className='absolute left-0 bottom-0 w-full h-4' />
{
startConvert && <Loading02 className='animate-spin mr-2 w-4 h-4 text-primary-700' />
}
<div className='grow'>
{
startRecord && (
<div className='text-sm text-gray-500'>
{t('common.voiceInput.speaking')}
</div>
)
}
{
startConvert && (
<div className={cn(s.convert, 'text-sm')}>
{t('common.voiceInput.converting')}
</div>
)
}
</div>
{
startRecord && (
<div
className='flex justify-center items-center mr-1 w-8 h-8 hover:bg-primary-100 rounded-lg cursor-pointer'
onClick={handleStopRecorder}
>
<StopCircle className='w-5 h-5 text-primary-600' />
</div>
)
}
{
startConvert && (
<div
className='flex justify-center items-center mr-1 w-8 h-8 hover:bg-gray-200 rounded-lg cursor-pointer'
onClick={onCancel}
>
<XClose className='w-4 h-4 text-gray-500' />
</div>
)
}
<div className={`w-[45px] pl-1 text-xs font-medium ${originDuration > 110 ? 'text-[#F04438]' : 'text-gray-700'}`}>{`0${minutes.toFixed(0)}:${seconds >= 10 ? seconds : `0${seconds}`}`}</div>
</div>
</div>
)
}
export default VoiceInput

View File

@ -30,6 +30,7 @@
.sourceItem .info {
display: flex;
align-items: center;
z-index: 1;
}
.sourceItem .info .name {
font-weight: 500;
@ -45,6 +46,7 @@
font-size: 12px;
line-height: 18px;
color: #344054;
z-index: 1;
}
.sourceItem .error {
color: #D92D20;

View File

@ -74,7 +74,7 @@ const StepOne = ({
setCurrentFile(file)
}
const hideFilePreview = () => {
setCurrentNotionPage(undefined)
setCurrentFile(undefined)
}
const updateCurrentPage = (page: Page) => {

View File

@ -57,7 +57,7 @@ export const useIndexStatus = () => {
return {
queuing: { color: 'orange', text: t('datasetDocuments.list.status.queuing') }, // waiting
indexing: { color: 'blue', text: t('datasetDocuments.list.status.indexing') }, // indexing splitting parsing cleaning
paused: { color: 'orange', text: t('datasetDocuments.list.status.parsed') }, // paused
paused: { color: 'orange', text: t('datasetDocuments.list.status.paused') }, // paused
error: { color: 'red', text: t('datasetDocuments.list.status.error') }, // error
available: { color: 'green', text: t('datasetDocuments.list.status.available') }, // completedarchived = falseenabled = true
enabled: { color: 'green', text: t('datasetDocuments.list.status.enabled') }, // completedarchived = falseenabled = true

View File

@ -3,7 +3,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
# Completion App API
For high-quality text generation, such as articles, summaries, and translations, use the completion-messages API with user input. Text generation relies on the model parameters and prompt templates set in LangGenius Prompt Engineering.
For high-quality text generation, such as articles, summaries, and translations, use the completion-messages API with user input. Text generation relies on the model parameters and prompt templates set in Dify Prompt Engineering.
<Heading
url='/completion-messages'

View File

@ -3,7 +3,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
# 文本生成型应用 API
可用于生成高质量文本的应用,例如生成文章、摘要、翻译等,通过调用 completion-messages 接口,发送用户输入得到生成文本结果。用于生成文本的模型参数和提示词模版取决于开发者在 LangGenius 提示词编排页的设置。
可用于生成高质量文本的应用,例如生成文章、摘要、翻译等,通过调用 completion-messages 接口,发送用户输入得到生成文本结果。用于生成文本的模型参数和提示词模版取决于开发者在 Dify 提示词编排页的设置。
<Heading
url='/completion-messages'

View File

@ -29,7 +29,7 @@ const InstalledApp: FC<IInstalledAppProps> = ({
<div className='h-full p-2'>
{installedApp?.app.mode === 'chat'
? (
<ChatApp isInstalledApp installedAppInfo={installedApp}/>
<ChatApp isInstalledApp installedAppInfo={installedApp} />
)
: (
<TextGenerationApp isInstalledApp installedAppInfo={installedApp}/>

View File

@ -43,8 +43,8 @@ const ItemOperation: FC<IItemOperationProps> = ({
</div>
{isShowDelete && (
<div className={cn(s.actionItem, s.deleteActionItem, 'hover:bg-gray-50 group')} onClick={onDelete} >
<TrashIcon className={'shrink-0 w-4 h-4 stroke-current text-gray-500 stroke-2 group-hover:text-red-500'} />
<span className={cn(s.actionName, 'group-hover:text-red-500')}>{t('explore.sidebar.action.delete')}</span>
<TrashIcon className={cn(s.deleteActionItemChild, 'shrink-0 w-4 h-4 stroke-current text-gray-500 stroke-2')} />
<span className={cn(s.actionName, s.deleteActionItemChild)}>{t('explore.sidebar.action.delete')}</span>
</div>
)}

View File

@ -28,4 +28,8 @@ body .btn {
body .btn:hover {
/* background-image: ; */
background-color: #F2F4F7;
}
.deleteActionItem:hover .deleteActionItemChild {
@apply text-red-500;
}

View File

@ -56,16 +56,14 @@ export default function AppNavItem({
<div className='overflow-hidden text-ellipsis whitespace-nowrap'>{name}</div>
</div>
{
!isSelected && (
<div className={cn(s.opBtn, 'shrink-0')} onClick={e => e.stopPropagation()}>
<ItemOperation
isPinned={isPinned}
togglePin={togglePin}
isShowDelete={!uninstallable}
onDelete={() => onDelete(id)}
/>
</div>
)
<div className={cn(s.opBtn, 'shrink-0')} onClick={e => e.stopPropagation()}>
<ItemOperation
isPinned={isPinned}
togglePin={togglePin}
isShowDelete={!uninstallable && !isSelected}
onDelete={() => onDelete(id)}
/>
</div>
}
</div>
)

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