Dockerfile

# Use an official PyTorch image with CUDA support for GPU
FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime

# Set the working directory in the container
WORKDIR /app


# Install system dependencies for OpenCV
RUN apt-get update && apt-get install -y \
    libgl1 \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libfontconfig1 \
    && rm -rf /var/lib/apt/lists/*

# Copy the requirements.txt file into the container
COPY requirements.txt /app/

# Install any needed packages specified in requirements.txt
RUN pip install --no-cache-dir -r requirements.txt

# Copy the rest of  application's code into the container
COPY . /app

# Make port 8501 available to the world outside this container
EXPOSE 8501

# Run streamlit when the container launches
CMD ["streamlit", "run", "Home.py"]