app.py

import streamlit as st
from transformers import pipeline

# Load the pre-trained language model
generator = pipeline("text-generation", model="gpt2")

# Streamlit app
st.title("Blog Post Generator")
st.write("Generate a blog post for a given topic using GPT-2.")

# Input for the blog post topic
topic = st.text_input("Enter a blog post topic:")

if st.button("Generate"):
    if topic:
        # Generate a blog post based on the given topic
        with st.spinner("Generating blog post..."):
            result = generator(f"Blog post topic: {topic}\n\nBlog post content:", max_length=500)
            blog_post = result[0]['generated_text']
        st.subheader("Generated Blog Post")
        st.write(blog_post)
    else:
        st.warning("Please enter a topic to generate the blog post.")