DeZ_chatbot_Pytorch
Chatbot Deployment with Flask and JavaScript
Chatbot DeZ 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.
Clone repo and create a virtual environment
$ git clone https://github.com/Logeshvarman/DeZ_chatbot_Pytorch.git
$ cd DeZ
$ conda create --name DeZ
$ conda activate DeZ
Install dependencies
$ (DeZ) conda install Flask torch torchvision nltk
Install nltk package
Modify intents.json with different intents and responses for your Chatbot
Run
$ (Dez) python train.py
This will dump data.pth file. And then run
the following command to test it in the console.
$ (Dez) python chat.py
