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app.py

@@ -4,21 +4,7 @@ from tensorflow.keras.applications.inception_resnet_v2 import preprocess_input
 from tensorflow.keras.preprocessing import image
 import numpy as np
 
-# กำหนดเลเยอร์ที่กำหนดเอง (CustomScaleLayer)
-class CustomScaleLayer(tf.keras.layers.Layer):
-    def __init__(self, scale=1.0, **kwargs):
-        super(CustomScaleLayer, self).__init__(**kwargs)
-        self.scale = scale
-
-    def call(self, inputs, *args, **kwargs):
-        if isinstance(inputs, list):
-            return [input_tensor * self.scale for input_tensor in inputs]
-        else:
-            return inputs * self.scale
-
-# ใช้ custom_object_scope เพื่อทำให้เลเยอร์ที่กำหนดเองสามารถใช้งานได้
-with tf.keras.utils.custom_object_scope({'CustomScaleLayer': CustomScaleLayer}):
-    model = tf.keras.models.load_model("jo33_model_v222.h5")
+    model = tf.keras.models.load_model("inceptionv3_model_with_custom_layer.h5")
 
 # Function for prediction
 def predict(img):

inceptionv3_model_with_custom_layer.h5

@@ -0,0 +1,3 @@
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+oid sha256:55130ca25bee2dfd11cab398cebb171e6f17aeee4ddad600b8437a47a4febca0
+size 287728912