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