Implementation of chatbot in rasa to consult universities around the world
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Proyecto to Chatbot with Rasa
To get a local copy up and running follow these simple steps.
Install virtual environment with venv or conda.
- Activate environment
source {venv_path}/bin/activate
- Clone the repo
git clone https://github.com/TEAM-IMT/Chatbot.git
- Install requerements
pip install -U requirements.
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:
See the open issues for a list of proposed features (and known issues).
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.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the MIT License. See LICENSE
for more information.
- Johan Mejia ([email protected]) -
- Tatiana Moreno ([email protected]) -
- Diego Carreño ([email protected]) -
- Project Link: https://github.com/TatianaMoreno47/Chatbot
- Best-README-Template for providing the repository README template.