Blog Post Generator

This is a web application that generates complete blog posts, including titles, content, cover images, and summaries based on user input. The app is built using Gradio and is designed to be deployed on Hugging Face Spaces.

Features

Generate blog post title using a specialized title generation model
Generate blog post content using GPT-2
Create a cover image for the blog post using Stable Diffusion
Summarize the generated article using BART
Simple and intuitive user interface

Models Used

Title Generation: fabiochiu/t5-small-medium-title-generation
Text Generation: gpt2
Image Generation: runwayml/stable-diffusion-v1-5
Summarization: facebook/bart-large-cnn

Setup and Deployment

Fork this repository
Set up a new Hugging Face Space (make sure to use a GPU-enabled instance)
Configure the GitHub Actions workflow by adding your Hugging Face token as a secret named HF_TOKEN
Update the deploy.yml file with your Hugging Face username and space name
Push changes to the main branch to trigger automatic deployment

Local Development

To run the app locally:

Clone the repository
Install the required packages: pip install -r requirements.txt
Run the app: python app.py

Note: Running multiple large language models and Stable Diffusion locally requires significant computational resources. A GPU is strongly recommended for reasonable performance.

Contributing

Feel free to open issues or submit pull requests to improve the application.

License

This project is open source and available under the MIT License.