app.py

import streamlit as st
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load the model and tokenizer
@st.cache_resource
def load_model():
    model_name = "shanthi-323/model"
    tokenizer = AutoTokenizer.from_pretrained(model_name)
    model = AutoModelForCausalLM.from_pretrained(model_name)
    return tokenizer, model

tokenizer, model = load_model()

st.title("AI Chatbot")
st.write("Chat with your fine-tuned model!")

# User input
user_input = st.text_input("You: ", placeholder="Type your message here...")

if user_input:
    inputs = tokenizer(user_input, return_tensors="pt")
    outputs = model.generate(inputs["input_ids"], max_length=100)
    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
    st.text_area("Bot:", value=response, height=200, max_chars=None)