from transformers import AutoTokenizer, AutoModelForSeq2SeqLM from fastapi import FastAPI from pydantic import BaseModel import torch tokenizer = AutoTokenizer.from_pretrained("cmlang/somali-flan-t5") model = AutoModelForSeq2SeqLM.from_pretrained("cmlang/somali-flan-t5") app = FastAPI() class Message(BaseModel): text: str @app.post("/chatbot") async def chatbot(msg: Message): inputs = tokenizer(msg.text, return_tensors="pt") outputs = model.generate(**inputs, max_length=150) response = tokenizer.decode(outputs[0], skip_special_tokens=True) return {"response": response}