Blog Post Generator

A powerful AI-powered blog post generator with chat-style history, real-time cost reporting, and comprehensive blog analysis.

Features

• Chat-Style Post History: View and edit previously generated blog posts
• Real-Time Cost Reporting: Monitor API costs as they occur
• TLDR Summaries: Automatically generated summaries for each blog post
• Dynamic Blog Analysis: Get detailed analysis of your content's structure, accessibility, and empathy
• Agent Collaboration: Watch as multiple AI agents work together to create your content
• Physical File Saving: Automatically saves posts as both JSON and Markdown files

Installation

1. Clone this repository
2. Install dependencies:

   pip install -r requirements.txt
   

3. Create a .env file with your API keys:

   OPENAI_API_KEY=your_openai_api_key
   

Running Locally

Run the app with:

streamlit run unified_app.py

Deployment

Streamlit Cloud Deployment

1. Push your code to a GitHub repository
2. Log in to Streamlit Cloud
3. Create a new app and select your repository
4. Set the main file to unified_app.py
5. Add your API keys as secrets in the Streamlit Cloud dashboard
6. Deploy!

Environment Variables for Deployment

Make sure to set these environment variables in your deployment platform:

• OPENAI_API_KEY: Your OpenAI API key

Directory Structure

• unified_app.py: Main application file
• .streamlit/config.toml: Streamlit configuration
• requirements.txt: Python dependencies
• generated_posts/: Directory for saved blog posts
  • markdown/: Directory for markdown versions of posts
• utils/: Utility functions
• src/: Source code for agents and models

Troubleshooting Deployment

If you encounter issues with deployment:

1. Check that all dependencies are in requirements.txt
2. Verify that your API keys are correctly set as environment variables
3. Make sure the .streamlit/config.toml file is properly configured

License

MIT