Dockerfile

# Use an official Python image as the base image
FROM python:3.10-slim

# Set environment variables to prevent Python from writing .pyc files and to buffer stdout and stderr
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1

# Set the working directory inside the container
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    wget \
    git \
    curl \
    ca-certificates \
    && rm -rf /var/lib/apt/lists/*

# Install pip and upgrade it
RUN pip install --no-cache-dir --upgrade pip

# Install PyTorch and TorchVision
RUN pip install --no-cache-dir \
    torch==2.5.1 \
    torchvision==0.20.1 \
    -f https://download.pytorch.org/whl/torch_stable.html

# Clone SAM2 repository and install it
RUN git clone https://github.com/facebookresearch/sam2.git sam2_repo && \
    cd sam2_repo && \
    pip install -e .

# Download SAM2 model checkpoints
RUN cd /app/sam2_repo/checkpoints && \
    chmod +x download_ckpts.sh && \
    ./download_ckpts.sh

RUN apt-get update && apt-get install ffmpeg libsm6 libxext6  -y

# Install Flask application dependencies
RUN pip install --no-cache-dir \
    httpx==0.27.2 \
    Flask==3.1.0 \
    Flask-Cors==5.0.0 \
    openai==1.55.3 \
    matplotlib==3.9.2 \
    tqdm==4.67.0 \
    opencv-python==4.10.0.84 \
    albumentations==1.4.21 \
    gunicorn

# Copy the application code to the container
COPY . /app/

# Download ResNet50 checkpoint
RUN curl https://download.pytorch.org/models/resnet50-0676ba61.pth --output /app/resnet50-0676ba61.pth

# Copy SAM2 checkpoints
RUN mv /app/sam2_repo/checkpoints/*.pt /app/ && ls /app/

# Expose the port the app runs on
EXPOSE 7860

# Define the command to run the Flask app
CMD ["gunicorn", "-b=0.0.0.0:7860", "app:app", "--timeout=0"]