README.md

Chatbot

Clementine (Chatbot)

Implementation of chatbot in rasa to consult universities around the world
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Acknowledgements

About The Project

Proyecto to Chatbot with Rasa

Built With

• rasa
• pyspellchecker

Getting Started

To get a local copy up and running follow these simple steps.

Prerequisites

Install virtual environment with venv or conda.

Installation

1. Activate environment

   source {venv_path}/bin/activate

2. Clone the repo

   git clone https://github.com/TEAM-IMT/Chatbot.git

3. Install requerements

   pip install -U requirements.

Usage

If you want, you can train the model with the instruction

   rasa train

You can also download the pre-trained weights from the following link. Copy the file into the models folder.

Then, just run the actions-server:

   rasa run actions

And finally, start a new conversation with Clementine!

   rasa shell

For more information, see the following links:

1. Rasa framework
2. Knowledge Base Actions

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
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

Distributed under the MIT License. See LICENSE for more information.

Contact

• Johan Mejia ([email protected]) -
• Tatiana Moreno ([email protected]) -
• Diego Carreño ([email protected]) -
• Project Link: https://github.com/TatianaMoreno47/Chatbot

Acknowledgements

• Best-README-Template for providing the repository README template.