File size: 990 Bytes
645c867 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 |
from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse, FileResponse
from transformers import AutoModelForCausalLM, AutoTokenizer
import uvicorn
app = FastAPI()
# Carica il modello Hugging Face
model_name = "microsoft/DialoGPT-small"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
# Servire il frontend statico
@app.get("/")
async def serve_index():
return FileResponse("static/index.html")
# API per la chat
@app.post("/chat")
async def chat(request: Request):
data = await request.json()
prompt = data.get("prompt", "")
# Tokenizzazione e generazione della risposta
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(inputs["input_ids"], max_length=50)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
return JSONResponse({"response": response})
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=7860)
|