Delete Three.py

Three.py

@@ -1,16 +0,0 @@
-import numpy as np
-from sklearn.neighbors import NearestNeighbors
-
-# Convert the feature vectors to a NumPy array
-features_array = np.array(list(features_dict.values()))
-
-# Create a NearestNeighbors object and fit it to the features array
-knn = NearestNeighbors(n_neighbors=11, metric='cosine')
-knn.fit(features_array)
-
-# Define a function to retrieve the most similar images to a query image
-def retrieve_similar_images(query_image_name, knn_model, features_dict):
-    # Get the features for the query image
-    query_features = features_dict[query_image_name]
-    # Reshape the features to match the expected input format for the knn_model
-    query_features = query_features.reshape(1, -