Custom ChatGPT Bot with Redis Search and Python Flask

Starting template for a the Custom ChatGPT Chatbot Application.

This repository provides a comprehensive guide for building a custom ChatGPT chatbot powered by your data, Redis Search, and the OpenAI Cookbook, all integrated into a Python Flask application.

Learn how to set up a Redis Stack server, create and manage a Redis Search index, and integrate ChatGPT to provide accurate and relevant responses based on your data. This guide covers deployment using both Docker and virtual servers.

YouTube Channel

Check out out YouTube Channel here

Checkout the video Video Detailing How To Use This Repo

Set up the project

Start by installing virtual environment if you do not already have it.

sudo -H pip3 install --upgrade pip

sudo -H pip3 install virtualenv

Create and activate the virtual environment

virtualenv chatgptenv
souce chatgptenv/bin/activate

Create a folder called data

Save your PDF files in there, note this project will only work with PDF files. Watch the video to see how you can customise the code for othe rinput types.

Install required python packages

pip install Flask
pip install openai
pip install numpy==1.24.2
pip install openai==0.27.1
pip install pandas==1.5.3
pip install redis==4.5.1
pip install requests==2.28.2
pip install ipykernel
pip install textract
pip install tiktoken

Instal Redis Stack Server

In your Ubuntu Virtual server

curl -fsSL https://packages.redis.io/gpg | sudo gpg --dearmor -o /usr/share/keyrings/redis-archive-keyring.gpg
echo "deb [signed-by=/usr/share/keyrings/redis-archive-keyring.gpg] https://packages.redis.io/deb $(lsb_release -cs) main" | sudo tee /etc/apt/sources.list.d/redis.list
sudo apt-get update
sudo apt-get install redis-stack-server

Check Redis Stack Server Installation

sudo systemctl status redis-stack-server

Check that there is document in the index

Run this line inside of a python shell to check that the index was created successfully, and there are documents in the index

#RUN THIS TEST FUNCTION
redis_client.ft(INDEX_NAME).info()['num_docs']

You should get this output:

● redis-stack-server.service - Redis stack server
     Loaded: loaded (/etc/systemd/system/redis-stack-server.service; enabled; vendor preset: ......
     Active: active (running) since Fri 2023-04-21 13:45:42 CEST; 20h ago
       Docs: https://redis.io/
   Main PID: 365056 (redis-server)
      Tasks: 17 (limit: 2282)
     Memory: 195.0M
     CGroup: /system.slice/redis-stack-server.service
             └─365056 /opt/redis-stack/bin/redis-server *:6379

skolo-online/build-chatgpt-with-own-data