Download api/app/feedback/models.py from iBrokeTheCode/Image_Classifier_with_CNN: direct link, hf CLI and curl.
- Browser
- Download file 792 Bytes
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https://huggingface.co/spaces/iBrokeTheCode/Image_Classifier_with_CNN/resolve/3ce4bfcd092cc1d5f518baf6ca367ffa336d7d75/api/app/feedback/models.py
- Command line
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hf download hf://spaces/iBrokeTheCode/Image_Classifier_with_CNN@3ce4bfcd092cc1d5f518baf6ca367ffa336d7d75/api/app/feedback/models.py
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curl -L -o models.py https://huggingface.co/spaces/iBrokeTheCode/Image_Classifier_with_CNN/resolve/3ce4bfcd092cc1d5f518baf6ca367ffa336d7d75/api/app/feedback/models.py
792 Bytes
| from app.db import Base | |
| from sqlalchemy import Column, Float, ForeignKey, Integer, String | |
| from sqlalchemy.orm import relationship | |
| class Feedback(Base): | |
| __tablename__ = "feedbacks" | |
| id = Column(Integer, primary_key=True, index=True) | |
| score = Column(Float) | |
| predicted_class = Column(String(50)) | |
| feedback = Column(String(255)) | |
| user_id = Column(Integer, ForeignKey("users.id")) | |
| image_file_name = Column(String(255)) | |
| user = relationship("User", back_populates="feedbacks") | |
| def __init__( | |
| self, score, predicted_class, feedback, image_file_name, user, *args, **kwargs | |
| ): | |
| self.predicted_class = predicted_class | |
| self.feedback = feedback | |
| self.score = score | |
| self.image_file_name = image_file_name | |
| self.user = user | |