PYTHON CHATBOT DEMO

This repository creates an LLM chatbot application using the OpenAI API and GPT 5 models.

Users provide their OpenAI API key in a secure .env file and access GPT models in the terminal.

Use case

Getting started with AI development can be tricky.

This repository is aimed at helping beginners and hobbiests understand how an AI Large-Language Model (LLM) works by providing a starting point to interact with LLMs using Python code.

Pre-requisite software

Ensure you have the latest version of Python and Visual Studio Code installed

Download Python here: https://www.python.org/downloads/

Download Visual Studio Code here:https://code.visualstudio.com/Download

How to use:

Step 0 - Clone the repository

Open a terminal and type the command

git clone https://github.com/ShridharSingh/python-chatbot-demo.git

Step 1 - Create the virtual environment

python.exe -m venv .venv

Tip: See why we create a virtual environment below

Step 2 - Install dependecies

pip install requirements.txt

Tip: See why we use requirements.txt below

Step 3 - Input API Key

Create a .env file in the project folder and enter your OpenAI API key as follows:

OPENAI_API_KEY = "sk-xxx"
(replace sk-xxx with your own API key)

Step 4 - Run application

python run app.py

Troubleshooting

OPENAI

Ensure that your OpenAI account has enough credits to converse with models

Please check the individual model pricing for GPT 5 models here: https://developers.openai.com/api/docs/pricing

Other

Why we use virtual environments:

Virtual environments helps us neatly manage projects and prevent unwanted clashes related to software versions

Why we use requirements.txt:

requirements.txt helps us batch necessary dependencies required for a project and tells python to install these all at once

Future expansion

1. User interface compatibility with Streamlit
2. User choice of models
3. LangChain integration