[CI] Try introducing isort. (#3495)

examples/gradio_openai_chatbot_webserver.py

@@ -1,6 +1,7 @@
 import argparse
-from openai import OpenAI
+
 import gradio as gr
+from openai import OpenAI
 
 # Argument parser setup
 parser = argparse.ArgumentParser(

examples/llm_engine_example.py

@@ -1,7 +1,7 @@
 import argparse
 from typing import List, Tuple
 
-from vllm import EngineArgs, LLMEngine, SamplingParams, RequestOutput
+from vllm import EngineArgs, LLMEngine, RequestOutput, SamplingParams
 
 
 def create_test_prompts() -> List[Tuple[str, SamplingParams]]:

examples/multilora_inference.py

@@ -5,11 +5,11 @@ for offline inference.
 Requires HuggingFace credentials for access to Llama2.
 """
 
-from typing import Optional, List, Tuple
+from typing import List, Optional, Tuple
 
 from huggingface_hub import snapshot_download
 
-from vllm import EngineArgs, LLMEngine, SamplingParams, RequestOutput
+from vllm import EngineArgs, LLMEngine, RequestOutput, SamplingParams
 from vllm.lora.request import LoRARequest
 
 

examples/offline_inference_distributed.py

@@ -5,11 +5,13 @@ distributively on a multi-nodes cluster.
 Learn more about Ray Data in https://docs.ray.io/en/latest/data/data.html
 """
 
-from vllm import LLM, SamplingParams
 from typing import Dict
+
 import numpy as np
 import ray
 
+from vllm import LLM, SamplingParams
+
 # Create a sampling params object.
 sampling_params = SamplingParams(temperature=0.8, top_p=0.95)