Spaces:
Sleeping
Sleeping
| from rest_framework import serializers | |
| class PredictRequestSerializer(serializers.Serializer): | |
| image = serializers.ImageField( | |
| help_text="Mammogram image — PNG or JPG, max 20MB" | |
| ) | |
| class ConfidenceSerializer(serializers.Serializer): | |
| label = serializers.CharField() | |
| confidence = serializers.FloatField() | |
| probabilities = serializers.DictField(child=serializers.FloatField()) | |
| class SegmentationSerializer(serializers.Serializer): | |
| mask_b64 = serializers.CharField() | |
| overlay_b64 = serializers.CharField() | |
| coverage_pct = serializers.FloatField() | |
| class ClinicalReportSerializer(serializers.Serializer): | |
| full_text = serializers.CharField() | |
| sections = serializers.DictField(child=serializers.CharField()) | |
| model_used = serializers.CharField() | |
| class PredictResponseSerializer(serializers.Serializer): | |
| abnormality = ConfidenceSerializer() | |
| pathology = ConfidenceSerializer() | |
| segmentation = SegmentationSerializer() | |
| gradcam_b64 = serializers.CharField() | |
| clinical_report = ClinicalReportSerializer() | |
| pdf_b64 = serializers.CharField() | |