Update app.py

app.py

@@ -729,7 +729,6 @@ data = None
 np.set_printoptions(suppress=True)
 
 model = tf.keras.models.load_model('keras_model.h5')
-data = np.ndarray(shape=(1, 224, 224, 3), dtype=np.float32)
 
 with open("labels.txt", "r") as file:
     labels = file.read().splitlines()
@@ -845,6 +844,7 @@ def classify(platform, UserInput, Images, Textbox2, Textbox3):
             image = cv.resize(image, (224, 224))
             image_array = np.asarray(image)
             normalized_image_array = (image_array.astype(np.float32) / 127.0) - 1
+            data = np.ndarray(shape=(1, 224, 224, 3), dtype=np.float32)
             data[0] = normalized_image_array
             
             prediction = model.predict(data)