app.py

from fastapi import FastAPI
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

app = FastAPI()

# Définir le chemin correct vers ton modèle
MODEL_PATH = "fatmata/psyboy/psybot_model"  # Remplace par le bon chemin

# Charger le modèle et le tokenizer
tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH)
model = AutoModelForCausalLM.from_pretrained(MODEL_PATH)

@app.get("/")
def read_root():
    return {"message": "Hello from PsyBot API!"}

@app.post("/generate/")
def generate_response(prompt: str):
    inputs = tokenizer(prompt, return_tensors="pt")
    with torch.no_grad():
        output = model.generate(**inputs, max_length=150)
    
    response = tokenizer.decode(output[0], skip_special_tokens=True)
    return {"response": response}