Create Dockerfile

Dockerfile

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+# Use Python 3.12 for better compatibility with current ONNX/CUDA 13 wheels
+FROM python:3.12-slim
+
+# Set environment variables
+ENV PYTHONUNBUFFERED=1 \
+    GRADIO_SERVER_NAME="0.0.0.0" \
+    TORCH_CUDA_ARCH_LIST="8.0;8.6;8.9;9.0"
+
+WORKDIR /app
+
+# 1. Install System Dependencies (Crucial for torchcodec and FFmpeg)
+RUN apt-get update && apt-get install -y \
+    git \
+    ffmpeg \
+    libnppicc12 \
+    libnppig12 \
+    libnppidevm-12-0 \
+    libgl1 \
+    && rm -rf /var/lib/apt/lists/*
+
+# 2. Copy requirements
+COPY requirements.txt .
+
+# 3. The Optimized PIP Command
+# We use --index-url for PyTorch (GPU) and --extra-index-url for everything else (Gradio/Transformers)
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir \
+    --index-url https://download.pytorch.org/whl/cu130 \
+    --extra-index-url https://pypi.org/simple \
+    -r requirements.txt \
+    gradio[oauth,mcp]==6.10.0 \
+    uvicorn \
+    spaces
+
+# 4. Copy Application Code
+COPY . .
+
+# 5. Expose Gradio Port
+EXPOSE 7860
+
+CMD ["python", "app.py"]