app.py

import transformers
from transformers import GPT2LMHeadModel, GPT2Tokenizer
from transformers import GenerationConfig
import streamlit as st

model_name = "gpt2-large"
model = GPT2LMHeadModel.from_pretrained(model_name)
tokenizer = GPT2Tokenizer.from_pretrained(model_name)

title = st.text_area("\nEnter a title to generate a blog post:")

input_prompt = f"Blog Title: {title}\n\nBlog Post:\n"
input_ids = tokenizer.encode(input_prompt, return_tensors='pt')

generation_config = GenerationConfig(max_new_tokens=100, do_sample=True, temperature=0.7)

output_ids = model.generate(input_ids, generation_config=generation_config)[0]

output_text = tokenizer.decode(output_ids, skip_special_tokens=True)

if text:
    st.write(output_text)