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Sleeping
File size: 1,405 Bytes
68f9b9e a41986a 68f9b9e 5bd1fb0 68f9b9e 341da73 68f9b9e 5729ee7 68f9b9e 341da73 68f9b9e 341da73 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | # Use an official Python runtime as a parent image
FROM python:3.11-slim
# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONPATH=/app/backend
ENV KERAS_BACKEND=torch
# Set the working directory in the container
WORKDIR /app
# Install system dependencies for OpenCV and other libraries
RUN apt-get update && apt-get install -y --no-install-recommends \
libgl1 \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender-dev \
gcc \
python3-dev \
&& rm -rf /var/lib/apt/lists/*
# Copy only the requirements first to leverage Docker cache
COPY backend/requirements.txt .
# Install dependencies
# Note: This will install CPU versions of torch to keep the image size manageable
# since most standard cloud servers don't have GPUs.
RUN pip install --no-cache-dir -r requirements.txt
# Copy the backend and frontend directories into the container
COPY backend /app/backend
COPY frontend /app/frontend
# Create necessary directories for runtime data
RUN mkdir -p /app/backend/data/uploads/emotions \
/app/backend/data/uploads/diary \
/app/backend/data/reports
# Expose the port (Hugging Face uses 7860 by default)
EXPOSE 7860
# Set working directory to backend for runtime
WORKDIR /app/backend
ENV PYTHONPATH=/app/backend
# Run the application using uvicorn
CMD ["sh", "-c", "uvicorn app.main:app --host 0.0.0.0 --port ${PORT:-7860}"]
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