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packages.txt

@@ -8,6 +8,5 @@ libgomp1
 libopencv-dev
 python3-dev
 build-essential
-libssl-dev  # For secure API connections
-libffi-dev  # For cryptography if needed
-ca-certificates  # For SSL certificates
+libssl-dev
+ca-certificates

requirements.txt

@@ -1,8 +1,7 @@
 # ─────────────────────────────────────────────
 # SmileAI Pro v11 — requirements.txt
 # ─────────────────────────────────────────────
-# Deploy on HuggingFace Spaces → Hardware: T4 GPU
-# for ~25s results. CPU works but takes ~3 min.
+# Simplified for Hugging Face Spaces compatibility
 # ─────────────────────────────────────────────
 
 # Core UI
@@ -10,40 +9,26 @@ gradio>=4.0.0
 
 # Image processing
 numpy
-pillow
+pillow>=10.0.0
 opencv-python-headless
 
-# Face landmark detection (mouth mask precision)
+# Face landmark detection
 mediapipe==0.10.9
 
 # PDF export
 reportlab
 
-# ─── Gemini API for Enhanced Teeth Processing ───
+# Gemini API
 google-generativeai>=0.3.0
-pillow>=10.0.0  # Already listed, keeping for clarity
-python-dotenv>=1.0.0  # For API key management
+python-dotenv>=1.0.0
 
-# ─── AI Inpainting (GPU) ───────────────────────
-# Uncomment the GPU torch line and comment the CPU
-# line when deploying on a T4/A10G Space.
-
-# CPU (default — works everywhere, ~3 min/image)
+# AI Inpainting - Use CPU version for compatibility
 torch
 torchvision
-
-# GPU — T4 / A10G HuggingFace Space (~25s/image)
-# torch==2.1.0+cu118 --extra-index-url https://download.pytorch.org/whl/cu118
-# torchvision==0.16.0+cu118 --extra-index-url https://download.pytorch.org/whl/cu118
-
-# Diffusion pipeline
 diffusers>=0.27.0
-transformers>=0.27.2  # Updated for better compatibility
+transformers>=0.27.2
 accelerate>=0.27.0
 
-# Memory-efficient attention (GPU only — comment out for CPU)
-# xformers
-
 # Utilities
-requests>=2.31.0  # For API calls if needed
-tqdm>=4.66.0  # Progress bars
+requests>=2.31.0
+tqdm>=4.66.0