AI Blog Generator

January 6, 2026 ยท View on GitHub

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AI Blog Generator

AI Blog Generator is an advanced, multi-agent system for generating professional, well-researched blog posts using the Agno framework. It supports leading LLM providers including OpenAI, Gemini, Claude, and Grok.

๐Ÿš€ Launch App โ†’ https://huggingface.co/spaces/analyticalrohit/ai-blog-generator

Features

  • Multi-Agent Workflow: Orchestrates research, content extraction, and writing using specialized agents.
  • Provider Flexibility: Easily switch between OpenAI, Gemini, Claude, and Grok models.
  • Research Driven Content: Finds, evaluates, and cites authoritative sources.
  • Content Scraping: Extracts and summarizes article content for reference.
  • Gradio UI: Simple web interface for generating and viewing blog posts.

Getting Started

1. Clone the Repository

git clone https://github.com/analyticalrohit/ai-blog-generator.git
cd ai-blog-generator

2. Install Dependencies

uv venv --python 3.12

uv sync

3. Run the App

uv run app.py

The Gradio interface will launch in your browser.

Usage

  1. Select your preferred LLM provider and model.
  2. Enter your API key.
  3. Choose an example topic or enter your own.
  4. Click Generate Blog to create a post.

Watch on Youtube

Example Prompts

  • How Generative AI is Changing the Way We Work
  • The Science Behind Why Pizza Tastes Better at 2 AM
  • How Rubber Ducks Revolutionized Software Development

Project Structure

.
โ”œโ”€โ”€ app.py                        # Gradio web app
โ”œโ”€โ”€ src/
โ”‚   โ””โ”€โ”€ ai_blog_generator/
โ”‚       โ”œโ”€โ”€ agents.py             # Agent definitions
โ”‚       โ”œโ”€โ”€ generator.py          # Blog post generation workflow
โ”‚       โ”œโ”€โ”€ model.py              # LLM model (OpenAI, Gemini, Claude, Grok)
โ”‚       โ”œโ”€โ”€ response_model.py     # Pydantic models for responses
โ”‚       โ””โ”€โ”€ utils.py              # Utilities
โ”œโ”€โ”€ pyproject.toml
โ”œโ”€โ”€ README.md
โ””โ”€โ”€ ...

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Contributing

We welcome contributions from the community! If you have an addition or improvement to suggest:

  1. Fork the repository
  2. Create your feature branch: git checkout -b feature/AmazingFeature
  3. Commit your changes: git commit -m 'Add some AmazingFeature'
  4. Push to the branch: git push origin feature/AmazingFeature
  5. Open a pull request

License

This project is licensed under MIT License.


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Keywords: AI, Machine Learning, Generative AI, LLM, AI Agents, Agentic AI, Agno