yt_dataset / Dockerfile
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# Step 1: Use Python 3.10.6 as the base image
FROM python:3.10.6
# Step 2: Set the working directory inside the container
WORKDIR /app
# Step 3: Copy the requirements.txt file to the working directory
COPY requirements.txt .
# Step 4: Install the Python dependencies from the requirements.txt
RUN pip install --no-cache-dir -r requirements.txt
# Step 5: Create a directory for data storage (e.g., for downloaded videos or extracted audio)
# Ensure that this directory has the right permissions for writing.
RUN mkdir -p /app/downloaded_videos /app/extracted_audio \
&& chmod -R 755 /app/downloaded_videos /app/extracted_audio
# Step 6: Create a non-root user for security and switch to that user
RUN useradd -m myuser \
&& chown -R myuser:myuser /app
# Step 7: Copy the rest of the application code to the working directory
COPY . .
# Step 8: Change ownership of the app directory and files
RUN chown -R myuser:myuser /app
# Step 9: Switch to the non-root user
USER myuser
# Step 10: Expose the port that FastAPI runs on
EXPOSE 7860
# Step 11: Command to run FastAPI using Uvicorn when the container starts
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]