Update src/app.py

src/app.py

@@ -1,7 +1,7 @@
 from colordescriptor import ColorDescriptor
 from CLIP import CLIPImageEncoder
 from LBP import LBPImageEncoder
-from helper import chi2_distance, euclidian_distance
+from helper import chi2_distance, euclidean_distance
 import gradio as gr
 import os
 import cv2
@@ -77,7 +77,7 @@ def get_neighbors(query_image, selected_descriptor, selected_distance, top_k=5):
             tmp_dataset = dataset_with_embeddings.map(lambda row: {'distance': chi2_distance(histA=query_vector, histB=row['color_embeddings'])})
             retrieved_examples = tmp_dataset.sort("distance")[:5]
         else:
-            tmp_dataset = dataset_with_embeddings.map(lambda row: {'distance': euclidian_distance(histA=query_vector, histB=row['color_embeddings'])})
+            tmp_dataset = dataset_with_embeddings.map(lambda row: {'distance': euclidean_distance(histA=query_vector, histB=row['color_embeddings'])})
             retrieved_examples = tmp_dataset.sort("distance")[:5]
         images = retrieved_examples['image'] #retrieved images is a dict, with images and embeddings
         return images