from fastapi import FastAPI, Request, Form from fastapi.responses import HTMLResponse from fastapi.staticfiles import StaticFiles from fastapi.templating import Jinja2Templates from huggingface_hub import InferenceClient import random API_URL = "https://api-inference.huggingface.co/models/" client = InferenceClient( "mistralai/Mistral-7B-Instruct-v0.1" ) app = FastAPI() app.mount("/static", StaticFiles(directory="static"), name="static") templates = Jinja2Templates(directory="templates") def format_prompt(message, history): prompt = "" for user_prompt, bot_response in history: prompt += f"[INST] {user_prompt} [/INST]" prompt += f" {bot_response} " prompt += f"[INST] {message} [/INST]" return prompt def generate(prompt, history, temperature=0.9, max_new_tokens=512, top_p=0.95, repetition_penalty=1.0): temperature = float(temperature) if temperature < 1e-2: temperature = 1e-2 top_p = float(top_p) generate_kwargs = dict( temperature=temperature, max_new_tokens=max_new_tokens, top_p=top_p, repetition_penalty=repetition_penalty, do_sample=True, seed=random.randint(0, 10**7), ) formatted_prompt = format_prompt(prompt, history) output = "" for response in client.text_generation(formatted_prompt, **generate_kwargs, stream=False, details=False): output += response.token.text return output @app.get("/", response_class=HTMLResponse) async def home(request: Request): return templates.TemplateResponse("index.html", {"request": request}) @app.post("/generate/") async def generate_chat(request: Request, prompt: str = Form(...), history: str = Form(...), temperature: float = Form(0.9), max_new_tokens: int = Form(512), top_p: float = Form(0.95), repetition_penalty: float = Form(1.0)): history = eval(history) # Convert history string back to list response = generate(prompt, history, temperature, max_new_tokens, top_p, repetition_penalty) return {"response": response}