Dockerfile

FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04

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

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Set working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    git \
    ffmpeg \
    libsm6 \
    libxext6 \
    && rm -rf /var/lib/apt/lists/*

# Install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Clone YOLOv7 repository
RUN git clone https://github.com/WongKinYiu/yolov7.git

# Copy application files
COPY . .

# Modify torch.load to set weights_only=False
RUN sed -i 's/torch.load(\(.*\))/torch.load(\1, weights_only=False)/g' yolov7/models/experimental.py

# Expose the port Streamlit runs on
EXPOSE 8501

# Run the application
CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]
#CMD ["streamlit", "run", "app.py"]