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---
title: AI Tutor Chatbot
emoji: 🧑🏻🏫
colorFrom: gray
colorTo: pink
sdk: gradio
sdk_version: 4.39.0
app_file: scripts/main.py
pinned: false
---
This repository contains the notebooks for the RAG (Retrieval-Augmented Generation) course in the [notebooks](./notebooks) directory.
### Gradio UI Chatbot
A Gradio UI for the chatbot is available in [scripts/main.py](./scripts/main.py).
The Gradio demo is deployed on Hugging Face Spaces at: [AI Tutor Chatbot on Hugging Face](https://huggingface.co/spaces/towardsai-buster/ai-tutor-chatbot).
**Note:** A GitHub Action automatically deploys the Gradio demo when changes are pushed to the `scripts` folder.
### Installation (for Gradio UI)
1. **Create a new Python environment:**
```bash
python -m venv .venv
```
2. **Activate the environment:**
For macOS and Linux:
```bash
source .venv/bin/activate
```
For Windows:
```bash
.venv\Scripts\activate
```
3. **Install the dependencies:**
```bash
pip install -r requirements.txt
```
### Usage (for Gradio UI)
1. **Set environment variables:**
Before running the application, set up the required API keys:
For macOS and Linux:
```bash
export OPENAI_API_KEY=your_openai_api_key_here
export COHERE_API_KEY=your_cohere_api_key_here
```
For Windows:
```bash
set OPENAI_API_KEY=your_openai_api_key_here
set COHERE_API_KEY=your_cohere_api_key_here
```
2. **Run the application:**
```bash
python scripts/main.py
```
This command starts the Gradio interface for the AI Tutor chatbot.
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