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Inception_V3.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6470641316e4c8bdd606e155460d443db7330cae05626623183145fd3f28f319
+size 98695104

app.py

@@ -1,32 +1,11 @@
 import gradio as gr
 import tensorflow as tf
-from tensorflow.keras.applications.inception_resnet_v2 import preprocess_input
+from tensorflow.keras.applications.inception_v3 import preprocess_input  # ใช้ฟังก์ชันที่เหมาะสมกับ InceptionV3
 from tensorflow.keras.preprocessing import image
 import numpy as np
 
-# กำหนดเลเยอร์แบบกำหนดเอง
-class CustomScaleLayer(tf.keras.layers.Layer):
-    def __init__(self, scale=1.0, **kwargs):
-        super(CustomScaleLayer, self).__init__(**kwargs)
-        self.scale = tf.Variable(initial_value=scale, trainable=True)
-
-    def call(self, inputs):
-        return inputs * self.scale
-    
-    def get_config(self):
-        config = super(CustomScaleLayer, self).get_config()
-        config.update({'scale': self.scale.numpy()})
-        return config
-
-    @classmethod
-    def from_config(cls, config):
-        return cls(**config)
-
-# ลงทะเบียนเลเยอร์แบบกำหนดเอง
-tf.keras.utils.get_custom_objects().update({'CustomScaleLayer': CustomScaleLayer})
-
-# โหลดโมเดล
-model = tf.keras.models.load_model("inceptionv3_model_with_custom_layer.h5")
+# โหลดโมเดล InceptionV3
+model = tf.keras.models.load_model("Inception_V3.h5")
 
 # ฟังก์ชันสำหรับการพยากรณ์
 def predict(img):
@@ -47,7 +26,7 @@ interface = gr.Interface(
     fn=predict,
     inputs=gr.Image(type="pil", label="Upload an Image"),
     outputs=gr.Label(num_top_classes=2, label="Predicted Class"),
-    title="Image Classification with InceptionResNetV2",
+    title="Image Classification with InceptionV3",
     description="Upload an image to classify it into one of the classes."
 )
 

requirements.txt

@@ -1,4 +1,4 @@
-tensorflow==2.11.0
+tensorflow==2.10
 numpy==1.21.6
 Pillow==9.2.0
 gradio==3.0.7