Update app.py

app.py

@@ -46,13 +46,13 @@ image = gr.Image(shape=(256, 256), label="金門藍孔雀、歐亞水獺、戴
 label = gr.Label(num_top_classes=5, label="AI辨識結果")
 some_text="我能辨識金門藍孔雀、歐亞水獺、戴勝鳥。找張金門藍孔雀、歐亞水獺、戴勝鳥照片來考我吧!"
 
-# sample_images = []
-# for i in range(5):
-#     thedir = base_dir + image_folders[i]
-#     for file in os.listdir(thedir):
-#         if file == ".git" or file == ".ipynb_checkpoints":
-#           continue
-#         sample_images.append(image_folders[i] + '/' + file)
+sample_images = []
+for i in range(5):
+    thedir = base_dir + image_folders[i]
+    for file in os.listdir(thedir):
+        if file == ".git" or file == ".ipynb_checkpoints":
+          continue
+        sample_images.append(image_folders[i] + '/' + file)
 
 iface = gr.Interface(fn=classify_image,
              inputs=image,
@@ -64,6 +64,7 @@ iface = gr.Interface(fn=classify_image,
 # def greet(name):
 
 #     model = load_model('my_cnn_model.h5') # Loading the Tensorflow Saved Model (PB)    
+
     
 #     return "Hello " + name + "!!" + model.summary()