Convert to Docker-based Space for full control over environment

Dockerfile

@@ -0,0 +1,40 @@
+# Use Python 3.10 slim base
+FROM python:3.10-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    git \
+    libgl1 \
+    libglib2.0-0 \
+    libsm6 \
+    libxext6 \
+    libxrender-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+# Create non-root user (HF Spaces requirement)
+RUN useradd -m -u 1000 user
+USER user
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+# Set working directory for user
+WORKDIR $HOME/app
+
+# Copy requirements first for caching
+COPY --chown=user:user requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY --chown=user:user . .
+
+# Expose Gradio port
+EXPOSE 7860
+
+# Run the application
+CMD ["python", "app.py"]

README.md

@@ -3,11 +3,9 @@ title: LOGOS SPCW Matroska
 emoji: 🌌
 colorFrom: blue
 colorTo: purple
-sdk: gradio
-sdk_version: "4.26.0"
-app_file: app.py
+sdk: docker
+app_port: 7860
 pinned: false
-layout: wide
 short_description: "SPCW Protocol Visualizer & DSP Bridge"
 ---
 

requirements.txt

@@ -2,7 +2,6 @@ numpy>=1.21.0
 opencv-python-headless>=4.5.0
 Pillow>=9.0.0
 scikit-image>=0.19.0
-gradio==4.26.0
-gradio_client==0.15.0
+gradio==4.20.0
 plotly
 sympy