Update README.md

README.md

@@ -1,89 +1,88 @@
----
-title: AI Tutor Chatbot
-emoji: 🧑🏻‍🏫
-colorFrom: gray
-colorTo: pink
-sdk: gradio
-sdk_version: 5.20.1
-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.
-
+---
+title: AI Tutor Chatbot
+emoji: 🧑🏻‍🏫
+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.