Create Dockerfile

Dockerfile

@@ -0,0 +1,73 @@
+FROM python:3.11-slim-bullseye
+
+# Install system dependencies with clean up in single RUN layer
+RUN sed -i 's/main/main contrib non-free/' /etc/apt/sources.list && \
+    apt-get update && \
+    apt-get install -y --no-install-recommends \
+    unrar \
+    libgl1 \
+    libglib2.0-0 \
+    # ffmpeg for video processing
+    ffmpeg \
+    # git for transformers dependencies
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+# Upgrade pip and install core dependencies first
+RUN pip install --no-cache-dir --upgrade pip setuptools wheel packaging
+
+# Install optimized CPU-only PyTorch stack
+RUN pip install --no-cache-dir \
+    "numpy<2" \
+    torch==2.1.2+cpu \
+    torchvision==0.16.2+cpu \
+    torchaudio==2.1.2+cpu \
+    --index-url https://download.pytorch.org/whl/cpu
+
+# Copy requirements and install with special handling
+COPY requirements.txt .
+RUN pip install --no-cache-dir \
+    -r requirements.txt \
+    --find-links https://download.pytorch.org/whl/cpu \
+    --extra-index-url https://pypi.org/simple
+
+# Install transformers with specific version that works with BLIP-2
+RUN pip install --no-cache-dir \
+    accelerate==0.27.2 \
+    transformers==4.36.2 \
+    timm==0.9.12 \
+    einops==0.7.0 \
+    bitsandbytes==0.42.0  # Helps with memory optimization
+
+# For BLIP-2 specifically, we need these
+RUN pip install --no-cache-dir \
+    protobuf==3.20.3 \
+    sentencepiece==0.2.0
+
+# Copy application code with proper permissions
+COPY --chown=1000:1000 . .
+
+# Create non-root user and set permissions
+RUN useradd -m -u 1000 user && \
+    chown -R user:user /app && \
+    mkdir -p /app/downloads /app/extracted /app/extracted_frames /app/analysis_results && \
+    chown -R user:user /app/*
+
+USER user
+
+# Environment variables for better performance and less logging
+ENV HF_HUB_DISABLE_PROGRESS=1
+ENV TF_CPP_MIN_LOG_LEVEL=3
+ENV PYTORCH_NO_CUDA_MEMORY_CACHING=1
+ENV TOKENIZERS_PARALLELISM=false
+ENV PYTHONUNBUFFERED=1
+
+# Set this if you're only using CPU
+ENV CUDA_VISIBLE_DEVICES=""
+
+# Pre-download the BLIP-2 model during build (optional)
+# RUN python -c "from transformers import AutoModel; AutoModel.from_pretrained('Salesforce/blip2-opt-2.7b', trust_remote_code=True)"
+
+CMD ["uvicorn", "download_api:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]