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| title: AI Tutor Chatbot | |
| emoji: π§π»βπ« | |
| colorFrom: gray | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 5.39.0 | |
| app_file: scripts/main.py | |
| pinned: false | |
| ### 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-tutors/ai-tutor-chatbot). | |
| **Note:** A GitHub Action automatically deploys the Gradio demo when changes are pushed to the main branch (excluding documentation and scripts in the `data/scraping_scripts` directory). | |
| ### 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. | |
| ### Updating Data Sources | |
| This application uses a RAG (Retrieval Augmented Generation) system with multiple data sources, including documentation and courses. To update these sources: | |
| 1. **For adding new courses or updating documentation:** | |
| - See the detailed instructions in [data/scraping_scripts/README.md](./data/scraping_scripts/README.md) | |
| - Automated workflows are available for both course addition and documentation updates | |
| 2. **Available workflows:** | |
| - `add_course_workflow.py` - For adding new course content | |
| - `update_docs_workflow.py` - For updating documentation from GitHub repositories | |
| - `upload_data_to_hf.py` - For uploading data files to HuggingFace | |
| These scripts streamline the process of adding new content to the AI Tutor and ensure consistency across team members. |