In this project 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.
This repo currently contains the starter files.
Clone repo and create a virtual environment
$ git clone https://github.com/Ayoola-Emmanuel/Project-AIvy.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
The live site can be found at https://projectaivy.onrender.com/home