Update app.py

app.py

@@ -13,8 +13,8 @@ def predict(img):
     #img_array = tf.expand_dims(img_array, 0)
     
     predictions = model.predict(img_array)
-    predicted_class = class_names[np.argmax(predictions[0])]
-    confidence = round(100 * (np.max(predictions[0])), 2)
+    # predicted_class = class_names[np.argmax(predictions[0])]
+    # confidence = round(100 * (np.max(predictions[0])), 2)
     return {class_names[i]: float(predictions[0][i]) for i in range(3)}