app.py

import streamlit as st
from transformers import pipeline

# Initialize the pipeline
pipe = pipeline("text2text-generation", model="google/flan-t5-base")

# Title of the app
st.title("Text-to-Text Generation with Google FLAN-T5")

# Text input for the user
input_text = st.text_area("Enter your text here:")

# Button to generate text
if st.button("Generate"):
    if input_text:
        # Generate text using the pipeline
        output = pipe(input_text)
        # Display the generated text
        st.write("Generated Text:")
        st.write(output[0]['generated_text'])
    else:
        st.write("Please enter some text to generate.")

# Additional information
st.markdown("""
    This app uses the Google FLAN-T5 model to generate text based on the input provided.
    Simply enter your text in the input box above and click on 'Generate' to see the output.
""")