Optimize Dockerfile for HF Spaces with staged dependency installation

Dockerfile

@@ -0,0 +1,49 @@
+FROM python:3.10-slim
+
+WORKDIR /app
+
+# Install system dependencies required for the app
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    git \
+    git-lfs \
+    ffmpeg \
+    libsm6 \
+    libxext6 \
+    cmake \
+    libgl1 \
+    && git lfs install \
+    && rm -rf /var/lib/apt/lists/*
+
+# Upgrade pip and install build tools
+RUN pip install --no-cache-dir --upgrade pip setuptools wheel
+
+# Install Python dependencies in stages to avoid conflicts
+# Stage 1: Core scientific packages
+RUN pip install --no-cache-dir \
+    numpy>=1.24.0,<2.0 \
+    matplotlib>=3.7.0 \
+    Pillow>=10.0.0
+
+# Stage 2: LiDAR processing packages  
+RUN pip install --no-cache-dir \
+    laspy[laszip]>=2.5.0 \
+    trimesh>=4.0.0
+
+# Stage 3: Gradio and web framework (do this last to avoid dependency conflicts)
+RUN pip install --no-cache-dir \
+    gradio \
+    gradio-client
+
+# Copy application files
+COPY . /app
+
+# Expose port for HF Spaces
+EXPOSE 7860
+
+# Set environment variables for HF Spaces
+ENV GRADIO_SERVER_NAME="0.0.0.0"
+ENV GRADIO_SERVER_PORT=7860
+
+# Run the application
+CMD ["python", "app.py"]
+

README.md

@@ -13,7 +13,7 @@ pinned: false
 
 A web application for visualizing and analyzing LiDAR point cloud data in 3D.
 
-![Python](https://img.shields.io/badge/Python-3.9+-blue)
+![Python](https://img.shields.io/badge/Python-3.10+-blue)
 ![Gradio](https://img.shields.io/badge/Gradio-4.43.0+-green)
 ![License](https://img.shields.io/badge/License-MIT-yellow)
 

requirements.txt

@@ -1,6 +1,6 @@
 # Core
-gradio==4.43.0
-numpy>=1.24.0
+gradio>=4.43.0
+numpy>=1.24.0,<2.0
 
 # LiDAR Processing
 laspy[laszip]>=2.5.0