A modular workspace for developing, testing, and deploying chatbots using various models, datasets, and templates.

• chonkie/ – Dataset tools and utilities.
• models.dev/ – Model zoo, demos, or model code.
• llama_factory/ – Model loading and inference. (Example repo you may add)
• easy_dataset/ – Dataset utilities. (Example repo you may add)
• autotrain-advanced/ – Advanced training scripts. (Example repo you may add)
• templates/
  • demo-chatbot/ – Example or starter chatbot template.
  • (Add more templates in separate subfolders for isolation and easy deployment.)
• main.py – Entry point for integration or orchestration.

1. Place each new chatbot template in its own folder under templates/ for isolation and easy deployment.
2. Add models, datasets, or other utilities as needed.
3. Document each template in its own README inside the subfolder.

To add a new template:

1. Create a new folder under templates/, e.g. templates/my-new-bot/.
2. Add your code, config (e.g. main.py, config.yaml, requirements.txt).
3. Include a README.md explaining usage and deployment.

You can add more code repositories to your chatbot-factory directory to extend functionality (e.g. model loading, training, dataset management).
To add a new repo:

From inside your chatbot-factory directory, run:

git clone https://github.com/owner/repo-name.git

This will create a new folder called repo-name/ in your project.

If you want to track remote updates separately:

git submodule add https://github.com/owner/repo-name.git repo-name

This will also create a new folder with the repo’s code.

You can also manually copy code folders into chatbot-factory/ if you prefer.

After adding a repo:

• Update the Directory Structure section in this README.
• Add any usage notes or integration details as needed.

chatbot-factory/
  ├── chonkie/
  ├── llama_factory/
  ├── easy_dataset/
  ├── autotrain-advanced/
  ├── templates/
  │   ├── demo-chatbot/
  │   └── orderbot/
  ├── library/
  │   ├── models.dev/
  │   └── RAG_Techniques/
  ├── agents
  │   ├── mastra/
  │   ├── AutoGroq/
  ├── main.py
  └── README.md

python main.py

Then explore, add, or run your bots!

MIT (or specify your license)