import streamlit as st
from transformers import AutoTokenizer, AutoModelForCausalLM

# Define model and tokenizer
model_name = 'openai-community/gpt2-large'
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=True)

def generate_blogpost(topic):
    inputs = tokenizer.encode(topic, return_tensors='pt')
    outputs = model.generate(inputs, max_length=500, num_return_sequences=1)
    text = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return text

# Streamlit app
st.title('Blog Post Generator')
topic = st.text_input('Enter a topic:')
if topic:
    blogpost = generate_blogpost(topic)
    st.write(blogpost)