app.py

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()