Blog Content Generator

This project is a Blog Content Generator that uses AI agents to research and write blog posts based on a given topic. The application is built using Streamlit for the user interface and CrewAI for managing the AI agents.

Features

• User Input: Enter a topic for the blog post.
• AI Agents: Two AI agents, a Blog Researcher and a Blog Writer, work together to generate the blog content.
• YouTube Integration: The Blog Researcher uses a YouTube search tool to gather information from a specified YouTube channel.
• Sequential Task Execution: The tasks are executed sequentially to ensure a coherent workflow.

Project Structure

• app.py: Main application file for the Streamlit interface.
• agents.py: Defines the AI agents used in the project.
• crew.py: Configures the CrewAI setup with agents and tasks.
• tasks.py: Defines the tasks for the AI agents.
• tools.py: Contains the YouTube search tool configuration.
• db/: Directory for database files.
• requirements.txt: Lists the Python dependencies.
• .env: Environment variables file (contains API keys).

Installation

1. Clone the repository:

   git clone <repository-url>
   cd <repository-directory>

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the dependencies:

   pip install -r requirements.txt

4. Set up the environment variables in the .env file:

   OPENAI_API_KEY="your-openai-api-key"

Usage

1. Run the Streamlit application:

   streamlit run app.py

2. Enter a topic for the blog post in the Streamlit interface and click "Generate Blog".

License

This project is licensed under the MIT License.