app.py

import streamlit as st
from transformers import pipeline

# Load GPT-2 model and tokenizer
@st.cache(allow_output_mutation=True)
def load_model():
    return pipeline("text-generation", model="gpt-2")

model = load_model()

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

# User input for the blog post topic
topic = st.text_input("Enter the topic for your blog post:")

# Generate blog post button
if st.button("Generate Blog Post"):
    if topic:
        # Generate the blog post using GPT-2
        result = model(f"Write a blog post about {topic}.", max_length=500, num_return_sequences=1)
        blog_post = result[0]['generated_text']
        
        st.write("### Generated Blog Post:")
        st.write(blog_post)
    else:
        st.write("Please enter a topic to generate a blog post.")