Chatbot Deployment with Flask and JavaScript

Chatbot Deployment with Flask and JavaScript

In this tutorial we deploy the chatbot I created in this tutorial with Flask and JavaScript.

This gives 2 deployment options:

  • Deploy within Flask app with jinja2 template
  • 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.

Initial Setup:

This repo currently contains the starter files.

Create a virtual environment

$ mkdir chatbot-deployment
$ 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

Modify intents.json with different intents and responses for your Chatbot


$ (venv) python

This will dump data.pth file. And then run the following command to test it in the console.

$ (venv) python

Now for deployment follow my tutorial to implement and app.js.


GitHub - python-engineer/chatbot-deployment: Deployment of PyTorch chatbot with Flask
Deployment of PyTorch chatbot with Flask. Contribute to python-engineer/chatbot-deployment development by creating an account on GitHub.