app.py

import streamlit as st
from model_utils import load_model, create_pipeline, generate_text

# Load model and tokenizer
st.write("Loading model...")
model, tokenizer = load_model()
hf_pipeline = create_pipeline(model, tokenizer)
st.write("Model loaded successfully!")

# Streamlit application
st.title("Hugging Face Model with LangChain and Streamlit")

# Text input field
input_text = st.text_input("Enter text to translate:")

# Button to generate response
if st.button("Translate"):
    if input_text:
        # Generate response using LangChain
        response = generate_text(hf_pipeline, input_text)
        # Display the response
        st.write("Translated text:", response)
    else:
        st.write("Please enter some text.")