""" cf https://huggingface.co/spaces/Nymbo/Qwen-2.5-72B-Instruct/blob/main/app.py https://huggingface.co/spaces/prithivMLmods/Llama-3.1-8B-Instruct/blob/main/app.py https://github.com/huggingface/huggingface-llama-recipes/blob/main/api_inference/inference-api.ipynb """ import os import time import gradio as gr from openai import OpenAI # from huggingface_hub import InferenceClient os.environ.update(TZ='Asia/Shanghai') time.tzset() # ACCESS_TOKEN = os.getenv("HF_TOKEN") # client = InferenceClient() # _ = """ client = OpenAI( base_url="https://api-inference.huggingface.co/v1/", # api_key=ACCESS_TOKEN, api_key=os.getenv("HF_TOKEN", 'na') ) # """ def respond( message, history: list[tuple[str, str]], system_message, max_tokens, temperature, top_p, ): messages = [{"role": "system", "content": system_message}] for val in history: if val[0]: messages.append({"role": "user", "content": val[0]}) if val[1]: messages.append({"role": "assistant", "content": val[1]}) messages.append({"role": "user", "content": message}) response = "" try: _ = client.chat.completions.create( model="Qwen/Qwen2.5-72B-Instruct", max_tokens=max_tokens, stream=True, temperature=temperature, top_p=top_p, messages=messages, ) for message in _: token = message.choices[0].delta.content response += token yield response except Exception as e: yield str(e) chatbot = gr.Chatbot(height=600) css = ''' .gradio-container{max-width: 1000px !important} h1{text-align:center} footer { visibility: hidden } ''' demo = gr.ChatInterface( respond, type='messages', # description='chatbox', additional_inputs=[ gr.Textbox(value="", label="System message"), # gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"), gr.Slider(minimum=1, maximum=32768 // 2 - 500, value=32768 // 2 - 500, step=1, label="Max new tokens"), gr.Slider(minimum=0.1, maximum=4.0, value=0.3, step=0.1, label="Temperature"), gr.Slider( minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-P", ), ], fill_height=True, chatbot=chatbot, css=css, # examples=[{"role": "user", "content": "Define 'deep learning' in once sentence."}], # retry_btn="Retry", # unexpected keyword argument 'retry_btn' # undo_btn="Undo", # clear_btn="Clear", # stop_btn='Cancel', # theme="allenai/gradio-theme", # theme="Nymbo/Alyx_Theme", ) if __name__ == "__main__": demo.launch() # ssr=False