another attempt to fix the output

app.py

@@ -34,21 +34,16 @@ class DetectionResult:
 
     @classmethod
     def from_dict(cls, detection_dict: Dict) -> 'DetectionResult':
-        # Debugging: Print the dictionary to see its structure
-        print("Detection Dictionary:", detection_dict)
-        try:
-            return cls(
-                score=detection_dict['score'],
-                label=detection_dict['label'],
-                box=BoundingBox(
-                    xmin=detection_dict['box']['xmin'],
-                    ymin=detection_dict['box']['ymin'],
-                    xmax=detection_dict['box']['xmax'],
-                    ymax=detection_dict['box']['ymax']
-                )
+        return cls(
+            score=detection_dict['score'],
+            label=detection_dict['label'],
+            box=BoundingBox(
+                xmin=detection_dict['box']['xmin'],
+                ymin=detection_dict['box']['ymin'],
+                xmax=detection_dict['box']['xmax'],
+                ymax=detection_dict['box']['ymax']
             )
-        except KeyError as e:
-            raise ValueError(f"Missing key in detection dictionary: {e}")
+        )
 
 def annotate(image: Union[Image.Image, np.ndarray], detection_results: List[DetectionResult]) -> np.ndarray:
     image_cv2 = np.array(image) if isinstance(image, Image.Image) else image
@@ -167,7 +162,7 @@ def draw_classification_boxes(image_with_insects, detections):
         label = detection.label
         score = detection.score
         box = detection.box
-        color = np.random.randint(0, 256, size=3).tolist()
+        color = (0, 255, 255)  # Yellow color for bounding box
 
         cv2.rectangle(image_with_insects, (box.xmin, box.ymin), (box.xmax, box.ymax), color, 2)
         (text_width, text_height), baseline = cv2.getTextSize(f"{label}: {score:.2f}", cv2.FONT_HERSHEY_SIMPLEX, 0.5, 2)
@@ -185,7 +180,7 @@ def draw_classification_boxes(image_with_insects, detections):
             cv2.FONT_HERSHEY_SIMPLEX,
             0.5,
             (255, 255, 255),
-             2
+            2
         )
     return image_with_insects