Update app.py

app.py

@@ -15,25 +15,9 @@ img_height,img_width=180,180
 
 model_flower = keras.models.load_model('model_flower.h5')
 
-from tensorflow.keras.models import Sequential
-num_classes = 5
-
-model = Sequential([
-  layers.experimental.preprocessing.Rescaling(1./255, input_shape=(img_height, img_width, 3)),
-  layers.Conv2D(16, 3, padding='same', activation='relu'),
-  layers.MaxPooling2D(),
-  layers.Conv2D(32, 3, padding='same', activation='relu'),
-  layers.MaxPooling2D(),
-  layers.Conv2D(64, 3, padding='same', activation='relu'),
-  layers.MaxPooling2D(),
-  layers.Flatten(),
-  layers.Dense(128, activation='relu'),
-  layers.Dense(num_classes,activation='softmax')
-])
-
-model.compile(optimizer='adam',
-              loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),
-              metrics=['accuracy'])
+
+
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