55f5e5f5a8
- Auto language detection using OpenAI Whisper during video upload
- Editable transcript interface for reviewing/correcting transcriptions
- Updated translation pipeline to use edited transcripts when available
- Migrated from JWT to Google OAuth-only authentication for better security
- Added complete Docker containerization with docker-compose.yml
- Updated database schema with language detection and transcript editing fields
- Enhanced API documentation and workflow in README
- Added comprehensive environment variable configuration
🤖 Generated with BackendIM
Co-Authored-By: Claude <noreply@anthropic.com>
43 lines
1018 B
Docker
43 lines
1018 B
Docker
# Use Python 3.11 slim image
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FROM python:3.11-slim
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# Set environment variables
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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DEBIAN_FRONTEND=noninteractive
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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ffmpeg \
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curl \
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build-essential \
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&& rm -rf /var/lib/apt/lists/*
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# Set work directory
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WORKDIR /app
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# Create storage directory
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RUN mkdir -p /app/storage/db
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# Copy requirements and install Python dependencies
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COPY requirements.txt .
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RUN pip install --no-cache-dir --upgrade pip && \
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pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY . .
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# Create non-root user
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RUN adduser --disabled-password --gecos '' appuser && \
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chown -R appuser:appuser /app
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USER appuser
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# Expose port
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EXPOSE 8000
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# Health check
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HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:8000/health || exit 1
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# Run the application
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"] |