updated

README.md

@@ -1,152 +1,10 @@
-# FastAPI RAG Chatbot Backend
-
-This project implements a FastAPI backend for a Retrieval-Augmented Generation (RAG) chatbot. It integrates with OpenAI for chat completions and embeddings, Neon Serverless Postgres for persistent data, and Qdrant Cloud for vector storage.
-
-## Project Structure
-
-```
-backend/
-├── app/
-│   ├── __init__.py
-│   ├── main.py
-│   ├── config.py
-│   ├── database.py
-│   ├── qdrant_client.py
-│   ├── models/
-│   │   ├── __init__.py
-│   │   ├── user.py
-│   │   └── chat.py
-│   ├── schemas/
-│   │   ├── __init__.py
-│   │   └── chat.py
-│   ├── routes/
-│   │   ├── __init__.py
-│   │   ├── chat.py
-│   │   └── health.py
-│   └── services/
-│       ├── __init__.py
-│       ├── rag_service.py
-│       ├── embeddings_service.py
-│       └── openai_service.py
-├── scripts/
-│   └── ingest_content.py
-├── .env.example
-├── requirements.txt
-├── README.md
-└── .gitignore
-```
-
-## Setup Instructions
-
-1.  **Clone the repository**:
-
-    ```bash
-    git clone <repository-url>
-    cd robotic
-    ```
-
-2.  **Navigate to the backend directory**:
-
-    ```bash
-    cd backend
-    ```
-
-3.  **Set up the Python virtual environment and install dependencies**:
-
-    On Windows, run:
-    ```bash
-    .\setup.bat
-    ```
-
-    On Linux/macOS, run:
-    ```bash
-    python3 -m venv venv
-    source venv/bin/activate
-    pip install -r requirements.txt
-    ```
-
-4.  **Configure Environment Variables**:
-
-    Create a `.env` file in the `backend/` directory by copying `.env.example` and filling in your credentials:
-
-    ```bash
-    copy .env.example .env
-    # or for Linux/macOS
-    cp .env.example .env
-    ```
-
-    Edit the `.env` file with your actual API keys and database URLs:
-
-    ```
-    OPENAI_API_KEY=your_openai_api_key_here
-    NEON_DATABASE_URL=your_neon_postgres_connection_string_here
-    QDRANT_URL=your_qdrant_cluster_url_here
-    QDRANT_API_KEY=your_qdrant_api_key_here
-    ```
-
-## Running the Application
-
-1.  **Activate your virtual environment**:
-
-    On Windows:
-    ```bash
-    .\venv\Scripts\activate
-    ```
-
-    On Linux/macOS:
-    ```bash
-    source venv/bin/activate
-    ```
-
-2.  **Start the FastAPI server**:
-
-    On Windows, run:
-    ```bash
-    .\run.bat
-    ```
-
-    On Linux/macOS, run:
-    ```bash
-    uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload
-    ```
-
-    The API will be accessible at `http://localhost:8000`.
-
-## API Endpoints
-
-*(Note: Detailed API documentation will be available at `/docs` once the server is running)*
-
-### Health Check
-
--   **GET `/health`**
-    -   Returns the health status of the backend and its integrated services.
-
-### Chatbot Interaction
-
--   **POST `/chat/`**
-    -   **Description**: Sends a user query to the RAG chatbot and receives a generated response.
-    -   **Request Body Example**:
-
-        ```json
-        {
-            "query": "What is the main topic of the book?"
-        }
-        ```
-    -   **Response Body Example**:
-
-        ```json
-        {
-            "response": "The main topic of the book is ..."
-        }
-        ```
-
-## Content Ingestion Script
-
--   **`scripts/ingest_content.py`**
-    -   This script is responsible for reading MDX files from `../physical-ai-humanoid-robotics/docs/`, chunking the text, generating OpenAI embeddings, and storing them in Qdrant.
-    -   **Usage**:
-
-        ```bash
-        python scripts/ingest_content.py
-        ```
-
+---
+title: Chat Robot
+emoji: 😻
+colorFrom: indigo
+colorTo: purple
+sdk: docker
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference