
- 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>
16 lines
664 B
Python
16 lines
664 B
Python
from sqlalchemy import Column, Integer, String, DateTime, ForeignKey
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from sqlalchemy.sql import func
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from app.db.base import Base
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class Video(Base):
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__tablename__ = "videos"
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id = Column(Integer, primary_key=True, index=True)
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user_id = Column(Integer, ForeignKey("users.id"), nullable=False)
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original_s3_url = Column(String, nullable=False)
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language_from = Column(String, nullable=False)
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language_to = Column(String, nullable=False)
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source_language = Column(String, nullable=True) # Auto-detected language
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status = Column(String, default="uploaded")
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created_at = Column(DateTime(timezone=True), server_default=func.now()) |