from fastapi import FastAPI  
from transformers import AutoModelForCausalLM, AutoTokenizer  

app = FastAPI()  

# Load Fine-Tuned Model  
model_name = "PygmalionAI/pygmalion-7b"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)  

@app.get("/chat")  
def chat(msg: str):  
    inputs = tokenizer(msg, return_tensors="pt")  
    response = model.generate(**inputs, max_length=200)  
    return {"response": tokenizer.decode(response[0], skip_special_tokens=True)}