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https://github.com/faraazarsath/content_research_agent
Utilizing the Crew AI framework and Chat Cohere to create and manage agents for content planning, writing, and editing, with dynamic Markdown rendering for results visualization.
https://github.com/faraazarsath/content_research_agent
artificial-intelligence cohere content-automation crewai
Last synced: 5 days ago
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Utilizing the Crew AI framework and Chat Cohere to create and manage agents for content planning, writing, and editing, with dynamic Markdown rendering for results visualization.
- Host: GitHub
- URL: https://github.com/faraazarsath/content_research_agent
- Owner: FaraazArsath
- Created: 2024-12-31T14:01:43.000Z (6 days ago)
- Default Branch: main
- Last Pushed: 2024-12-31T14:41:52.000Z (6 days ago)
- Last Synced: 2024-12-31T15:18:43.648Z (6 days ago)
- Topics: artificial-intelligence, cohere, content-automation, crewai
- Language: Jupyter Notebook
- Homepage:
- Size: 31.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Content_Research_Agent
## Overview
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.
## Table of Contents
- [Overview](#overview)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Colab Notebook](#colab-notebook)
- [Contributing](#contributing)
- [License](#license)
## Features
- 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:
```python
from IPython.display import Markdown
Markdown(result)
```
- Fully integrated workflow within a single Colab notebook.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/FaraazArsath/Content_Research_Agent.git
```
2. Navigate to the project directory:
```bash
cd Content_Research_Agent
```
3. Install dependencies (if applicable):
```bash
pip install -r requirements.txt
```
## Usage
1. Open the Colab notebook:
```bash
https://colab.research.google.com/github/FaraazArsath/Content_Research_Agent/blob/main/Agent_Research_Write_Article.ipynb
```
2. Run each cell sequentially to:
- Initialize agents.
- Plan, write, and edit content dynamically using **Chat Cohere**.
- View rendered results using the Markdown module.
## Colab Notebook
We have included a Google Colab notebook for easy execution and experimentation. To use it:
1. Navigate to the [Colab Notebook](https://colab.research.google.com/github/FaraazArsath/Content_Research_Agent/blob/main/Agent_Research_Write_Article.ipynb).
2. Open the notebook in Google Colab.
3. Execute the cells as described in the [Usage](#usage) section.
## Contributing
Contributions are welcome! Please follow these steps:
1. Fork this repository.
2. Create a new branch:
```bash
git checkout -b feature-name
```
3. Commit your changes:
```bash
git commit -m "Description of changes"
```
4. Push to your branch:
```bash
git push origin feature-name
```
5. Submit a pull request.
## License
This project is licensed under the [MIT License](LICENSE).