Check deployed models and upload local model

.gitignore

@@ -280,6 +280,7 @@ data/raw/*
 !data/raw/sample_*
 deployment/model/
 deployment/models/
+!deployment/models/README.md
 Desktop.ini
 develop-eggs/
 dist

CHANGELOG.md

@@ -281,4 +281,49 @@ All notable changes to this project will be documented in this file.
 
 ---
 
+## [Unreleased] - 2025-08-07
+
+### Added
+- **Custom Model Deployment Solution** - Complete pipeline to upload custom-trained models to HuggingFace Hub for production deployment
+  - Created `scripts/deployment/upload_model_to_huggingface.py` - Comprehensive script to find, prepare, and upload custom trained models
+  - Added `deployment/CUSTOM_MODEL_DEPLOYMENT_GUIDE.md` - Complete guide for deploying custom models with multiple deployment strategies
+  - Added `deployment/flexible_api_server.py` - Flexible API server supporting serverless, endpoints, and self-hosted deployments
+  - **Portable Configuration**: Environment variable support (`SAMO_DL_BASE_DIR` or `MODEL_BASE_DIR`) with automatic project root detection
+  - Added `deployment/models/` directory with README for organized model storage
+  - Created `.env.model_config.example` template for easy environment configuration
+  - **HuggingFace Deployment Strategies**:
+    - 🆓 Serverless Inference API (free tier with rate limits)
+    - 🚀 Inference Endpoints (paid, production-grade with consistent latency)
+    - 🏠 Self-hosted (maximum control with local transformers)
+  - **Automated Features**:
+    - Model format conversion (PyTorch .pth to HuggingFace format)
+    - Git LFS setup for large model files
+    - Environment configuration templates (.env.serverless, .env.endpoints, .env.selfhosted)
+    - Deployment configuration updates
+    - Model card generation with proper metadata and usage examples
+    - Cold start handling and retry logic for API calls
+
+### Fixed
+- **Model-as-a-Service Configuration Issue** - Resolved deployment using untrained base models instead of custom trained models
+  - Deployment was falling back to base `distilroberta-base` and `bert-base-uncased` models
+  - Custom models trained in Colab were not accessible to deployment infrastructure
+  - Now properly uploads custom models to HuggingFace Hub for production access
+
+### Changed
+- Deployment infrastructure now supports custom models from HuggingFace Hub instead of local files only
+- Updated model loading configuration to use custom emotion labels (12 classes) instead of generic ones
+
+### Technical Details
+- **Model Architecture**: DistilRoBERTa/BERT fine-tuned on custom journal entries
+- **Emotion Classes**: 12 specialized emotions (anxious, calm, content, excited, frustrated, grateful, happy, hopeful, overwhelmed, proud, sad, tired)
+- **Performance**: Expected ~85% accuracy vs ~60% with base models
+- **Deployment Options**:
+  - Serverless API: Free tier, 30s timeout, automatic retry and cold start handling
+  - Inference Endpoints: Paid service, 10s timeout, no cold starts, consistent latency
+  - Self-hosted: Local transformers, full control, configurable device (CPU/GPU)
+- **Storage**: Uses HuggingFace Hub as model repository with Git LFS for large files
+- **Cost Structure**: Public repos free, private repos with quotas, bandwidth tracking
+
+---
+
 *This changelog follows the [Keep a Changelog](https://keepachangelog.com/) format and adheres to [Semantic Versioning](https://semver.org/).* 

deployment/.env.flask.example

@@ -0,0 +1,119 @@
+# Flask Security Configuration Template
+# Copy this to .env and customize for your deployment environment
+
+# =============================================================================
+# 🔒 SECURITY CONFIGURATION
+# =============================================================================
+
+# Flask Host Binding (SECURITY CRITICAL!)
+# 
+# DEVELOPMENT (RECOMMENDED):
+FLASK_HOST=127.0.0.1
+# ✅ SECURE: Only accepts connections from localhost
+# ✅ SAFE: Cannot be accessed from external networks
+# ✅ IDEAL: For development, testing, and local deployment
+#
+# PRODUCTION (USE WITH CAUTION):
+# FLASK_HOST=0.0.0.0
+# ⚠️  EXPOSED: Accepts connections from all interfaces
+# ⚠️  RISK: Can be accessed from external networks
+# ⚠️  REQUIRES: Proper firewall, reverse proxy, and security measures
+#
+# CUSTOM (ADVANCED):
+# FLASK_HOST=192.168.1.100
+# 🔧 SPECIFIC: Binds to a specific network interface
+# 🔧 USE CASE: When you need access from specific networks only
+
+# Flask Port
+FLASK_PORT=5000
+# Default: 5000
+# Change if port conflicts or you need a different port
+
+# Flask Debug Mode (SECURITY CRITICAL!)
+FLASK_DEBUG=False
+# ✅ SECURE: Debug disabled (production default)
+# ⚠️  DANGER: Never set to True in production!
+# Debug mode exposes sensitive information and allows code execution
+
+# =============================================================================
+# 🚀 DEPLOYMENT ENVIRONMENT EXAMPLES
+# =============================================================================
+
+# LOCAL DEVELOPMENT (Most Common):
+# FLASK_HOST=127.0.0.1
+# FLASK_PORT=5000  
+# FLASK_DEBUG=False
+
+# DOCKER CONTAINER (For external access):
+# FLASK_HOST=0.0.0.0  # Required for Docker port mapping
+# FLASK_PORT=5000
+# FLASK_DEBUG=False
+# Note: Container should be behind reverse proxy/load balancer
+
+# PRODUCTION CLOUD (Behind Load Balancer):
+# FLASK_HOST=0.0.0.0  # Load balancer handles security
+# FLASK_PORT=8080     # Non-standard port
+# FLASK_DEBUG=False   # Never True in production!
+
+# KUBERNETES DEPLOYMENT:
+# FLASK_HOST=0.0.0.0  # Pod networking requires this
+# FLASK_PORT=5000
+# FLASK_DEBUG=False
+# Note: Use NetworkPolicies and Ingress for security
+
+# =============================================================================
+# 🛡️ SECURITY BEST PRACTICES
+# =============================================================================
+
+# 1. DEVELOPMENT:
+#    - Always use 127.0.0.1 (default)
+#    - Keep debug=False unless actively debugging
+#    - Test with realistic data, not production data
+
+# 2. STAGING/TESTING:
+#    - Use 127.0.0.1 or specific internal IPs
+#    - Never expose staging to public internet
+#    - Use VPN or internal networks for access
+
+# 3. PRODUCTION:
+#    - Use 0.0.0.0 ONLY behind reverse proxy (nginx, Apache, etc.)
+#    - Always debug=False
+#    - Implement proper authentication and authorization
+#    - Use HTTPS with valid certificates
+#    - Set up monitoring and alerting
+#    - Regular security audits
+
+# 4. CONTAINERIZATION:
+#    - Container: FLASK_HOST=0.0.0.0 (for port mapping)
+#    - Host: Bind only to localhost or internal networks
+#    - Use container orchestration security features
+#    - Network segmentation and policies
+
+# =============================================================================
+# 🔍 SECURITY CHECKLIST
+# =============================================================================
+# □ Reviewed host binding setting
+# □ Confirmed debug mode is disabled for production
+# □ Implemented proper authentication if exposing externally  
+# □ Set up reverse proxy/load balancer for external access
+# □ Configured firewall rules
+# □ Enabled HTTPS/TLS encryption
+# □ Set up monitoring and logging
+# □ Tested security configuration
+# □ Documented deployment security model
+
+# =============================================================================
+# 📊 MODEL DEPLOYMENT CONFIGURATION (Optional)
+# =============================================================================
+
+# HuggingFace Deployment Strategy
+DEPLOYMENT_TYPE=local
+# Options: serverless, endpoint, local
+
+# Model Configuration
+MODEL_NAME=your-username/samo-dl-emotion-model
+HF_TOKEN=your_hf_token_here
+
+# Model Processing Settings  
+MAX_LENGTH=128
+BATCH_SIZE=32