Add Hugging Face Space configuration to README.md

Readme.md

@@ -1,80 +1,10 @@
-# RAG Chatbot Application
-
-## Project Overview
-A modular Retrieval Augmented Generation (RAG) chatbot application built with FastAPI, supporting multiple LLM providers and embedding models.
-
-## Project Structure
-- `config/`: Configuration management
-- `src/`: Main application source code
-- `tests/`: Unit and integration tests
-- `data/`: Document storage and ingestion
-
-## Prerequisites
-- Python 3.9+
-- pip
-- (Optional) Virtual environment
-
-## Installation
-
-1. Clone the repository
-```bash
-git clone https://your-repo-url.git
-cd rag-chatbot
-```
-
-2. Create a virtual environment
-```bash
-python -m venv venv
-source venv/bin/activate  # On Windows use `venv\Scripts\activate`
-```
-
-3. Install dependencies
-```bash
-pip install -r requirements.txt
-```
-
-4. Set up environment variables
-```bash
-cp .env.example .env
-# Edit .env with your credentials
-```
-
-## Configuration
-
-### Environment Variables
-- `OPENAI_API_KEY`: OpenAI API key
-- `OLLAMA_BASE_URL`: Ollama server URL
-- `EMBEDDING_MODEL`: Hugging Face embedding model
-- `CHROMA_PATH`: Vector store persistence path
-- `DEBUG`: Enable debug mode
-
-## Running the Application
-
-### Development Server
-```bash
-uvicorn src.main:app --reload
-```
-
-### Production Deployment
-```bash
-gunicorn -w 4 -k uvicorn.workers.UvicornWorker src.main:app
-```
-
-## Testing
-```bash
-pytest tests/
-```
-
-## Features
-- Multiple LLM Provider Support
-- Retrieval Augmented Generation
-- Document Ingestion
-- Flexible Configuration
-- FastAPI Backend
-
-## Contributing
-1. Fork the repository
-2. Create your feature branch
-3. Commit your changes
-4. Push to the branch
-5. Create a Pull Request
+---
+title: Chatbot Backend
+emoji: 💬
+colorFrom: blue
+colorTo: green
+sdk: docker
+sdk_version: latest
+app_file: src/main.py
+pinned: false
+---

config/config.py

@@ -40,13 +40,16 @@ class Settings:
 
     # MongoDB Configuration
     # MONGODB_URI = os.getenv('MONGODB_URI', 'mongodb://localhost:27017')
-    @property
-    def MONGODB_URI(self):
-        if self.ENVIRONMENT == 'production':
-            # Better model for demos
-            return os.getenv('MONGODB_URI', 'mongodb+srv://talat:[email protected]/?retryWrites=true&w=majority&appName=Chatbot')
-        # Better for development purposes.
-        return os.getenv('MONGODB_URI', 'mongodb://localhost:27017')
+    MONGODB_URI = os.getenv('MONGODB_URI', '')
+    # MONGODB_URI = 'mongodb+srv://talat:[email protected]/?retryWrites=true&w=majority&appName=Chatbot'
+
+    # @property
+    # def MONGODB_URI(self):
+    #     if self.ENVIRONMENT == 'production':
+    #         # Better model for demos
+    #         return os.getenv('MONGODB_URI', 'mongodb+srv://talat:[email protected]/?retryWrites=true&w=majority&appName=Chatbot')
+    #     # Better for development purposes.
+    #     return os.getenv('MONGODB_URI', 'mongodb://localhost:27017')
 
     # New Conversation Summarizer Settings
     SUMMARIZER_CONFIG = {