Update scripts/deploy_spaces.sh

scripts/deploy_spaces.sh

@@ -1,40 +1,54 @@
 #!/bin/bash
 
+set -e  # Exit on any error
+
 echo "🚀 Deploying Saem's Tunes AI to Hugging Face Spaces"
+echo "==================================================="
 
 # Configuration
 SPACE_NAME="saemstunes/STA-AI"
 MODEL_REPO="Thetima4/Phi-3.5-mini-instruct-Q4_K_M-GGUF"
 MODEL_FILE="Phi-3.5-mini-instruct-q4_k_m.gguf"
+VERSION="2.0.0"
 
 echo "📦 Preparing deployment for space: $SPACE_NAME"
+echo "🔖 Version: $VERSION"
+echo "🤖 Model: $MODEL_REPO"
 
 # Check if required files exist
-required_files=("app.py" "requirements.txt" "config/spaces_config.json")
+echo "🔍 Checking required files..."
+required_files=("app.py" "requirements.txt" "config/spaces_config.json" "src/")
 for file in "${required_files[@]}"; do
-    if [ ! -f "$file" ]; then
-        echo "❌ Missing required file: $file"
+    if [ ! -e "$file" ]; then
+        echo "❌ Missing required file/directory: $file"
         exit 1
     fi
 done
 
 echo "✅ All required files present"
 
-# Create README for the space
+# Create models directory if it doesn't exist
+mkdir -p models
+
+# Create comprehensive README for the space
+echo "📝 Creating README.md..."
 cat > README.md << 'EOF'
 # 🎵 Saem's Tunes AI Assistant
 
-Production-ready AI assistant for Saem's Tunes music platform.
+Production-ready AI assistant for Saem's Tunes music education and streaming platform.
 
-## Features
+## 🚀 Features
 
-- **Smart Music Assistance**: Help with platform features, music discovery, and artist information
+- **Smart Music Assistance**: Help with platform features, music discovery, and educational content
 - **Fast Responses**: Powered by Microsoft Phi-3.5-mini-instruct (Q4_K_M quantization)
-- **Secure**: Input sanitization and rate limiting
+- **Platform Integration**: Full integration with Saem's Tunes existing database
+- **Secure**: Input sanitization, rate limiting, and suspicious activity detection
 - **Real-time Monitoring**: Performance metrics and health checks
+- **Dual Deployment**: Hugging Face Spaces (primary) + Railway (backup)
 
-## API Usage
+## 📚 API Usage
 
+### Chat Endpoint
 ```python
 import requests
 
@@ -42,16 +56,54 @@ response = requests.post(
     "https://saemstunes-sta-ai.hf.space/api/chat",
     json={
         "message": "How do I create a playlist?",
-        "user_id": "user_123"
+        "user_id": "user_123",
+        "conversation_id": "conv_123"
     }
 )
+Health Check
+python
+import requests
 
+response = requests.get("https://saemstunes-sta-ai.hf.space/api/health")
+print(response.json())
+🛠️ For Developers
 Environment Variables
 SUPABASE_URL: Your Supabase project URL
 
 SUPABASE_ANON_KEY: Your Supabase anon key
 
-Model Information
+MODEL_NAME: Phi-3.5-mini-instruct (default)
+
+LOG_LEVEL: INFO (default)
+
+MAX_RESPONSE_LENGTH: 500 (default)
+
+Local Development
+bash
+# Install dependencies
+pip install -r requirements.txt
+
+# Run locally
+python app.py
+
+# Run tests
+pytest tests/
+🎯 Platform Features Supported
+The AI assistant understands and can help with:
+
+Music Streaming: Tracks, artists, playlists, recommendations
+
+Education: Courses, lessons, quizzes, learning paths
+
+Community: User profiles, favorites, follows, social features
+
+Creator Tools: Music upload, artist profiles, analytics
+
+E-commerce: Subscriptions, payments, premium content
+
+Technical Support: Platform help, troubleshooting
+
+🔧 Technical Details
 Base Model: microsoft/Phi-3.5-mini-instruct
 
 Quantization: Q4_K_M (optimal quality/speed balance)
@@ -60,23 +112,178 @@ Context Window: 4K tokens
 
 Response Time: 2-5 seconds
 
-Built for Saem's Tunes - Your music streaming platform
+Security: Rate limiting (60 requests/minute), input sanitization
+
+Monitoring: Real-time metrics, health checks, error tracking
+
+📊 Monitoring
+Real-time metrics at /metrics
+
+Health checks at /health
+
+Performance statistics at /api/stats
+
+🆘 Support
+Documentation: This README and inline code documentation
+
+Issues: GitHub issue tracker
+
+Contact: development@saemstunes.com
+
+Built with ❤️ for Saem's Tunes - Your complete music education and streaming platform
+
+Version: 2.0.0
+Last Updated: $(date +%Y-%m-%d)
 EOF
 
+echo "✅ README.md created"
+
+Create .env.example for environment variables
+echo "🔧 Creating environment template..."
+cat > .env.example << 'EOF'
+
+Saem's Tunes AI Configuration
+Copy this file to .env and fill in your actual values
+Supabase Configuration
+SUPABASE_URL=your_supabase_project_url_here
+SUPABASE_ANON_KEY=your_supabase_anon_key_here
+
+Model Configuration
+MODEL_NAME=microsoft/Phi-3.5-mini-instruct
+HF_SPACE=saemstunes/STA-AI
+
+Server Configuration
+PORT=7860
+LOG_LEVEL=INFO
+MAX_RESPONSE_LENGTH=500
+
+Monitoring
+ENABLE_MONITORING=true
+EOF
+
+echo "✅ Environment template created"
+
+Create deployment info file
+echo "📋 Creating deployment info..."
+cat > deployment-info.md << EOF
+
+Deployment Information
+Space Details
+Name: $SPACE_NAME
+
+Version: $VERSION
+
+Model: $MODEL_REPO
+
+Deployment Date: $(date)
+
+Required Setup
+Set the following environment variables in your Space settings:
+
+SUPABASE_URL
+
+SUPABASE_ANON_KEY
+
+File Structure
+```
+$(find . -type f -name ".py" -o -name ".json" -o -name ".md" -o -name ".txt" -o -name "*.yml" | head -20 | sed 's|^./||' | sort)
+```
+
+API Endpoints
+`/api/chat` - Main chat endpoint
+
+`/api/health` - Health check
+
+`/api/models` - Model information
+
+`/api/stats` - System statistics
+
+`/api/feedback` - User feedback
+
+Monitoring
+Health checks run every 30 seconds
+
+Metrics available at `/metrics`
+
+Logs are stored in `saems_ai.log`
+EOF
+
+echo "✅ Deployment info created"
+
+Create verification script
+echo "🔍 Creating verification script..."
+cat > verify_deployment.py << 'EOF'
+#!/usr/bin/env python3
+
+import os
+import sys
+
+def check_file_exists(filepath):
+"""Check if file exists"""
+if os.path.exists(filepath):
+print(f"✅ {filepath}")
+return True
+else:
+print(f"❌ {filepath}")
+return False
+
+def main():
+print("🔍 Verifying deployment setup...")
+
+text
+required_files = [
+    "app.py",
+    "requirements.txt",
+    "README.md",
+    "config/spaces_config.json",
+    "src/__init__.py",
+    "src/ai_system.py",
+    "src/supabase_integration.py",
+    "src/security_system.py",
+    "src/monitoring_system.py",
+    "src/utils.py"
+]
+
+all_exists = True
+for filepath in required_files:
+    if not check_file_exists(filepath):
+        all_exists = False
+
+if all_exists:
+    print("\n🎉 All required files are present!")
+    print("📦 Deployment package is ready for Hugging Face Spaces")
+else:
+    print("\n❌ Some required files are missing!")
+    sys.exit(1)
+if name == "main":
+main()
+EOF
+
+python verify_deployment.py
+
+echo ""
 echo "📋 Deployment checklist:"
 echo " ✅ app.py (main application)"
 echo " ✅ requirements.txt (dependencies)"
 echo " ✅ README.md (documentation)"
-echo " ✅ config/spaces_config.json (configuration)"
+echo " ✅ config/ (configuration files)"
+echo " ✅ src/ (source code)"
+echo " ✅ scripts/ (utility scripts)"
+echo " ✅ .env.example (environment template)"
 
 echo ""
-echo "🎯 Next steps:"
+echo "🎯 Deployment Instructions:"
 echo "1. Go to https://huggingface.co/spaces"
-echo "2. Push this repository to your space"
-echo "3. Set environment variables:"
+echo "2. Create new Space or update existing: $SPACE_NAME"
+echo "3. Set SDK to Gradio"
+echo "4. Upload all files from this directory"
+echo "5. Set environment variables:"
 echo " - SUPABASE_URL"
 echo " - SUPABASE_ANON_KEY"
-echo "4. Deploy and test!"
-
+echo "6. Deploy and wait for build to complete"
+echo "7. Test the API endpoints"
+echo ""
+echo "🔗 Your Space will be available at:"
+echo " https://huggingface.co/spaces/$SPACE_NAME"
 echo ""
 echo "✅ Deployment preparation completed!"