Here is a simple implementation of a chat bot using intents and naive bias to figure out the most relevant response to a prompt
Client: vue, typescript, TailwindCSS
Server: Python- FastAPI
Model Python - sklearn | numpy
Clone the project
git clone git@github.com:shadmeoli/bot.git
Go to the project directory
cd bot
Navigate to backend folder
cd backend
Install dependencies
pip3 install -r requirements.txt
Start the server
using uvicorn
python3 main.py
using Gunicorn and uvicorn workers
gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:80
If you don't have an API client you can test and view all the URLs by opening the provided server URL from the logs and open swagger using
https://0.0.0.0:8000/docs
or alternatively you can use redoc to view the documentation of the API by substituting docs with redoc
To run the client you can open a new terminal sessiona in the same bot folder and navigate to the fronten folder
cd frontend
You have to install the dependencies for node
yarn
yarn
No run the client server powerd by vite
yarn dev
if you are using any other package manger you can check on how to install dependencies and initiate the dev server.
For support, email shadcodes@duck.com
Python : 3.8^
vue: 3.0^
Node: LTS 16^
POST {API_URL}/api/v1/chat
Parameter | Type |
---|---|
message |
string |