Dockerfile

FROM python:3.9-slim

WORKDIR /app

# Install system dependencies required by OpenCV and other build tools
# libgl1-mesa-glx: Provides libGL.so.1 (OpenGL library) - THIS IS THE KEY FIX
# libsm6, libxrender1: Common X11 dependencies often needed by OpenCV
# ffmpeg: Good for general video processing capabilities
# build-essential, curl, software-properties-common, git: Keep your existing dev tools
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    software-properties-common \
    git \
    libgl1-mesa-glx \
    libsm6 \
    libxrender1 \
    ffmpeg \
    # Clean up apt caches to reduce image size
    && rm -rf /var/lib/apt/lists/*

# Copy your requirements.txt file
COPY requirements.txt ./

# Install Python dependencies from requirements.txt
RUN pip3 install --no-cache-dir -r requirements.txt

# Copy your application source code and assets
# This assumes your project structure looks something like this:
# project_root/
# ├── src/
# │   └── streamlit_app.py  (your app.py renamed/moved to here)
# ├── models/
# │   └── emotion_model_best.h5
# ├── cascades/
# │   └── haarcascade_frontalface_default.xml
# ├── requirements.txt
# └── Dockerfile
#
# COPY . . copies everything from your project_root into /app in the container.
COPY . .

EXPOSE 8501

HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health

# Ensure the entrypoint path is correct for your app within the container
# Based on your structure, it's inside 'src/'
ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]