Dockerfile

# Use Python 3.9 with Debian Bullseye
FROM python:3.9-slim-bullseye

# Set environment variables
ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    DEBIAN_FRONTEND=noninteractive \
    PIP_NO_CACHE_DIR=1 \
    PIP_DISABLE_PIP_VERSION_CHECK=1

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    libgl1-mesa-glx \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    ffmpeg \
    wget \
    build-essential \
    && rm -rf /var/lib/apt/lists/*

# Set working directory
WORKDIR /app

# Upgrade pip and install base packages
RUN pip install --upgrade pip setuptools wheel

# Copy requirements
COPY requirements.txt .

# Install Python packages - let pip resolve dependencies automatically
RUN pip install \
    numpy==1.24.3 \
    opencv-python==4.8.1.78 \
    opencv-contrib-python==4.8.1.78 \
    protobuf==3.20.3 \
    tensorflow==2.13.0 \
    keras==2.13.1 \
    mediapipe==0.10.7 \
    cvzone==1.5.6 \
    gradio==4.16.0 \
    Pillow==10.1.0 \
    pyenchant==3.2.2 \
    setuptools==65.5.0

# Copy application files
COPY app.py .
COPY cnn8grps_rad1_model.h5 .
COPY white.jpg .

# Expose port
EXPOSE 7860


# Run the application
CMD ["python", "app.py"]