upload the app

app.py

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+# -*- coding: utf-8 -*-
+"""HW3.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1H-R9L74rpYOoQJOnTLLbUpcNpd9Tty_D
+"""
+
+!wget http://vis-www.cs.umass.edu/lfw/lfw.tgz
+!tar -xvf /content/lfw.tgz
+import tensorflow as tf
+from sklearn.datasets import load_sample_image
+import os
+import tensorflow.keras.applications.resnet50 as resnet50
+from tensorflow.keras.applications.resnet50 import ResNet50, preprocess_input
+from tensorflow.keras.preprocessing.image import load_img, img_to_array
+import numpy as np
+from PIL import Image
+from sklearn.neighbors import NearestNeighbors
+
+directory = '/content/lfw'
+model = resnet50.ResNet50(weights='imagenet', include_top=False, pooling='avg')
+feature_dict = {}
+image_files = []
+target_size = (224, 224)
+i = 0
+
+# Sample at most 2000 images because the whole entire dataset 
+# costs too much cpu power and ram
+
+def preprocess_image(image_path, target_size):
+    img = load_img(os.path.join(directory,image_path),target_size=target_size)
+    x = img_to_array(img)
+    x = tf.expand_dims(x, axis = 0)
+    x = preprocess_input(x)
+    features = model.predict(x)
+    return features
+
+for dir in os.listdir(directory):
+    i += 1
+    new_dir = '/content/lfw/'+dir
+    if os.path.isdir(new_dir):
+        for files in os.listdir(new_dir):
+            feature_dict[new_dir+'/'+files] = preprocess_image(new_dir+'/'+files, target_size).flatten()
+    if i >= 100:
+        break
+
+for file, features in feature_dict.items():
+    print(file, features)
+
+feature_map = np.array(list(feature_dict.values()))
+
+NearNeigh = NearestNeighbors(n_neighbors=10,algorithm='auto').fit(feature_map)
+
+for image_path in feature_dict:
+  img = feature_dict[image_path].reshape(1,-1)
+  distance,indices = NearNeigh.kneighbors(img)
+  print('Similar images for', image_path)
+  for i, index in enumerate(indices[0]):
+    similar_img_path = list(feature_dict.keys())[index]
+    print(i+1,similar_img_path)