Update app.py

app.py

@@ -12,7 +12,7 @@ IMG_SIZE = 256
 
 # Load the model
 def load_model():
-    model = tf.keras.models.load_model("custom_model_final.h5", compile=False)
+    model = tf.keras.models.load_model("final_gluacoma2.h5", compile=False)
     # Compile the model if necessary
     # model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])
     return model