@echo off REM Graph RAG Chatbot Deployment Script for Windows setlocal enabledelayedexpansion echo. echo 🤖 Graph RAG Chatbot Deployment Script echo. REM Check GROQ_API_KEY if not defined GROQ_API_KEY ( if exist ".env" ( for /f "tokens=2 delims==" %%A in ('findstr "GROQ_API_KEY" .env') do set GROQ_API_KEY=%%A ) else ( echo ⚠️ GROQ_API_KEY not found! echo. echo Getting Groq API Key: echo 1. Visit https://console.groq.com echo 2. Sign up/Login echo 3. Create an API key echo 4. Copy it echo. set /p GROQ_API_KEY="Enter your GROQ_API_KEY: " echo GROQ_API_KEY=!GROQ_API_KEY! > .env echo ✅ API key saved to .env ) ) echo ✅ GROQ_API_KEY configured echo. echo Select deployment method: echo 1) Local (Python venv) echo 2) Docker (Single container) echo 3) Docker Compose (Recommended) echo 4) Hugging Face Spaces echo. set /p choice="Enter choice (1-4): " if "%choice%"=="1" goto local_deploy if "%choice%"=="2" goto docker_deploy if "%choice%"=="3" goto compose_deploy if "%choice%"=="4" goto hf_deploy goto invalid_choice :local_deploy echo. echo 📦 Local Deployment echo. where python >nul 2>nul if errorlevel 1 ( echo ❌ Python not found. Please install Python 3.8+ exit /b 1 ) echo Creating virtual environment... python -m venv venv echo Activating virtual environment... call venv\Scripts\activate.bat echo Installing dependencies... python -m pip install --upgrade pip pip install -r requirements.txt echo. echo ✅ Installation complete! echo. echo To start the app, run: echo venv\Scripts\activate.bat echo python app.py echo. echo Then open: http://localhost:7860 goto end :docker_deploy echo. echo 🐳 Docker Deployment echo. where docker >nul 2>nul if errorlevel 1 ( echo ❌ Docker not found. Please install Docker. echo Visit: https://docs.docker.com/get-docker/ exit /b 1 ) echo Building Docker image... docker build -t graph-rag-chatbot . echo. echo ✅ Image built successfully! echo. echo To run the container, use: echo docker run -p 7860:7860 ^ echo -e GROQ_API_KEY=%GROQ_API_KEY% ^ echo -v %%cd%%/data:/app/data ^ echo graph-rag-chatbot echo. set /p start="Start container now? (y/n): " if /i "%start%"=="y" ( docker run -p 7860:7860 -e GROQ_API_KEY=%GROQ_API_KEY% -v %cd%/data:/app/data graph-rag-chatbot ) goto end :compose_deploy echo. echo 🐳 Docker Compose Deployment echo. where docker-compose >nul 2>nul if errorlevel 1 ( echo ❌ Docker Compose not found. echo Visit: https://docs.docker.com/compose/install/ exit /b 1 ) if not exist ".env" ( copy .env.example .env ) echo Starting Docker Compose services... docker-compose up -d echo. echo ✅ Services started! echo. echo Access the app at: http://localhost:7860 echo. echo Useful commands: echo docker-compose logs -f # View logs echo docker-compose ps # View services echo docker-compose down # Stop services goto end :hf_deploy echo. echo 🤗 Hugging Face Spaces Deployment echo. where git >nul 2>nul if errorlevel 1 ( echo ❌ Git not found. Please install Git. exit /b 1 ) echo Steps to deploy to HF Spaces: echo. echo 1. Create a new Space: echo https://huggingface.co/spaces echo - Select Docker as SDK echo - Name: graph-rag-chatbot echo. set /p hf_username="Enter your HF username: " git clone https://huggingface.co/spaces/%hf_username%/graph-rag-chatbot hf-space-clone cd hf-space-clone echo Copying project files... copy ..\app.py . xcopy ..\templates templates /E /I copy ..\Dockerfile . copy ..\requirements.txt . copy ..\.dockerignore . git add . git commit -m "Initial Graph RAG deployment" git push echo. echo ✅ Files pushed to HF Spaces! echo. echo Final step: Add your API key as a secret echo 1. Go to: https://huggingface.co/spaces/%hf_username%/graph-rag-chatbot echo 2. Click Settings ^> Repository secrets echo 3. Add new secret: echo Name: GROQ_API_KEY echo Value: %GROQ_API_KEY% echo. echo Your app will be live in a few minutes! goto end :invalid_choice echo ❌ Invalid choice exit /b 1 :end echo. echo 🎉 Deployment configured! echo. endlocal