import gradio as gr
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
import torch

model_name = "google/flan-t5-base"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)

def chat(user_input):
    input_ids = tokenizer(user_input, return_tensors="pt").input_ids
    outputs = model.generate(input_ids, max_new_tokens=200)
    reply = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return reply

gr.Interface(fn=chat, inputs="text", outputs="text", title="🧠 Multilingual Chatbot (Hindi + English)").launch()