This repository contains a Google Colab notebook leveraging the Crew AI framework and the LLM model Chat Cohere to create and manage three agents for content planning, writing, and editing. The project demonstrates the use of the Markdown module from IPython.display to render results dynamically within the notebook.
- Uses Crew AI framework and LLM model Chat Cohere to create three specialized agents:
- Planner: Generates structured plans for content creation.
- Writer: Drafts content based on the planner's output.
- Editor: Reviews and refines the written content.
- Dynamic content rendering using:
from IPython.display import Markdown Markdown(result)
- Fully integrated workflow within a single Colab notebook.
- Clone the repository:
git clone https://github.com/FaraazArsath/Content_Research_Agent.git
- Navigate to the project directory:
cd Content_Research_Agent - Install dependencies (if applicable):
pip install -r requirements.txt
- Open the Colab notebook:
https://colab.research.google.com/github/FaraazArsath/Content_Research_Agent/blob/main/Agent_Research_Write_Article.ipynb
- Run each cell sequentially to:
- Initialize agents.
- Plan, write, and edit content dynamically using Chat Cohere.
- View rendered results using the Markdown module.
We have included a Google Colab notebook for easy execution and experimentation. To use it:
- Navigate to the Colab Notebook.
- Open the notebook in Google Colab.
- Execute the cells as described in the Usage section.
Contributions are welcome! Please follow these steps:
- Fork this repository.
- Create a new branch:
git checkout -b feature-name
- Commit your changes:
git commit -m "Description of changes" - Push to your branch:
git push origin feature-name
- Submit a pull request.
This project is licensed under the MIT License.