app.py

import streamlit as st
from transformers import pipeline

# Create a T5 text2text-generation pipeline
pipe = pipeline("text2text-generation", model="kaist-ai/prometheus-13b-v1.0")

# Define the Streamlit app
st.title("Text Generation App")

# Ask the user for input text
user_input = st.text_area("Enter text:")

# Generate text when the user clicks the button
if st.button("Generate Text"):
    if user_input:
        # Use the specified pipeline to generate text
        generated_text = pipe(user_input, max_length=100, do_sample=True)[0]["generated_text"]
        st.write("Generated Text:")
        st.write(generated_text)
    else:
        st.warning("Please enter text.")

# Customize the Streamlit app's appearance and other features as needed.