avoind edge cutting if didn't find any edges

app.py

@@ -59,6 +59,9 @@ def edge_and_cut(img, threshold1, threshold2):
             if edges[i][j] != 0:
                 edge_coors.append((i, j))
 
+    if len(edge_coors) == 0:
+        return emb_img
+
     row_min = edge_coors[np.argsort([coor[0] for coor in edge_coors])[0]][0]
     row_max = edge_coors[np.argsort([coor[0] for coor in edge_coors])[-1]][0]
     col_min = edge_coors[np.argsort([coor[1] for coor in edge_coors])[0]][1]
@@ -74,6 +77,7 @@ def edge_and_cut(img, threshold1, threshold2):
     return emb_img
 
 
+
 def classify_and_visualize(image):
     # Preprocess the image
     img_array = tf.image.resize(image, [256, 256])