AI_CHAT_BOT

This code is an implementation of a chatbot using OpenAI's language model GPT-3.5. The chatbot is trained on a given PDF file and can answer questions related to the contents of the PDF.

Installation

Setup Project

git clone https://github.com/decode-mayank/AI_CHAT_BOT

Requirements

pip install -r requirements.txt

Reference example.env to create .env file You also need to have an OpenAI API key to access the GPT-3.5 model. generate you api_key https://www.openai.com/

api_key =  "API_KEY"

Setup PGvector

Compile and install the extension (supports Postgres 11+)

cd /tmp
git clone --branch v0.4.4 https://github.com/pgvector/pgvector.git
cd pgvector
make
make install # may need sudo

Getting Started

Enable the extension (do this once in each database where you want to use it)

CREATE EXTENSION vector;

Usage

1. In app.py file, add the path to the PDF file you want to train the chatbot on by setting the PdfReader path to the file's location.
2. Run the app.py and wait for the chatbot to initialize.
3. Enter your questions or prompts into the text box and hit enter to receive a response from the chatbot.