import os import time import requests import gradio as gr from huggingface_hub import get_inference_endpoint endpoint_name = os.getenv('ENDPOINT_NAME') endpoint_url = os.getenv('ENDPOINT_URL') personal_secret_token = os.getenv('PERSONAL_HF_TOKEN') turn_breaker = os.getenv('TURN_BREAKER') system_symbol = os.getenv('SYSTEM_SYMBOL') user_symbol = os.getenv('USER_SYMBOL') assistant_symbol = os.getenv('ASSISTANT_SYMBOL') headers = { "Accept" : "application/json", "Authorization": f"Bearer {personal_secret_token}", "Content-Type": "application/json" } def query(payload): response = requests.post(endpoint_url, headers=headers, json=payload) return response.json() def get_status(): endpoint = get_inference_endpoint(endpoint_name, token=personal_secret_token) return endpoint.status def respond( message, history: list[tuple[str, str]], system_message, max_new_tokens, temperature, top_p, progress=gr.Progress() ): progress(0, desc="Starting") if get_status() != "running": query({"inputs": "wake up!"}) progress(0.25, desc="Waking up model") while get_status() != "running": time.sleep(1) progress(0.5, desc="Generating") all_messages = [system_message] for val in history: if val[0]: all_messages.append(user_symbol+val[0]) if val[1]: all_messages.append(assistant_symbol+val[1]) all_messages.append(user_symbol+message) generation_kwargs = dict( max_new_tokens=max_new_tokens, do_sample=temperature > 0, top_p=top_p, temperature=temperature ) response = query({ "inputs": turn_breaker.join(all_messages), "parameters": generation_kwargs }) progress(1, desc="Generating") return response """ For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface """ demo = gr.ChatInterface( respond, additional_inputs=[ gr.Textbox(value="请你扮演一个开心,积极的角色,名叫贺英旭,今年26岁,工作是程序员。你需要以这个身份和朋友们进行对话。", label="System message"), gr.Slider(minimum=1, maximum=2048, value=64, step=1, label="Max new tokens"), gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), gr.Slider( minimum=0.1, maximum=1.0, value=0.7, step=0.05, label="Top-p (nucleus sampling)", ), ], show_progress="full" ) if __name__ == "__main__": demo.launch()