Update app.py

app.py

@@ -8,13 +8,13 @@ st.write(x, 'squared is', x * x)
 #loaded_model = keras.saving.load_model("best_model.keras")
 
 model = from_pretrained_keras("best_model.keras")
-prediction = model.predict(image)
-prediction = tf.squeeze(tf.round(prediction))
-print(f'The image is a {classes[(np.argmax(prediction))]}!')
+#prediction = model.predict(image)
+#prediction = tf.squeeze(tf.round(prediction))
+#print(f'The image is a {classes[(np.argmax(prediction))]}!')
 
 
-dataset = load_dataset("beans", split="train")
+#dataset = load_dataset("beans", split="train")
 
-loaded_img = dataset[0]["image"]
-print(loaded_img)
+#loaded_img = dataset[0]["image"]
+#print(loaded_img)