In this tutorial we deploy the chatbot we created in this tutorial with Flask and JavaScript.
This gives deployment option:
- Serve only the Flask prediction API. The used html and javascript files can be included in any Frontend application (with only a slight modification) and can run completely separate from the Flask App then.
This repo currently contains the starter files.
Clone repo and create a virtual environment
$ git clone https://github.com/python-engineer/chatbot-deployment.git
$ cd chatbot-deployment
$ python3 -m venv venv
$ . venv/bin/activate
Install dependencies
$ (venv) pip install Flask torch torchvision nltk
Install nltk package
$ (venv) python
>>> import nltk
>>> nltk.download('punkt')
Modify intents.json with different intents and responses for your Chatbot
Run
$ (venv) python train.py
This will dump data.pth file. And then run the following command to test it in the console.
$ (venv) python chat.py
Now for deployment follow my tutorial to implement app.py and app.js.