app.py

import streamlit as st
from transformers import pipeline

# Step 1: Load the Hugging Face model
@st.cache_resource
def load_model():
    return pipeline("text-generation", model="gpt2")  # Replace 'gpt2' with another model if needed

generator = load_model()

# Step 2: Design the Streamlit layout
st.title("Hugging Face Text Generator")
st.write("Generate creative text using GPT-2!")

# Get user input
user_input = st.text_area("Enter a prompt for text generation:", "Once upon a time")

# Generate text when the button is clicked
if st.button("Generate Text"):
    with st.spinner("Generating..."):
        results = generator(user_input, max_length=50, num_return_sequences=1)
        generated_text = results[0]["generated_text"]
        st.subheader("Generated Text:")
        st.write(generated_text)

st.write("Powered by Streamlit and Hugging Face 🤗")