Update app.py

app.py

@@ -1,6 +1,5 @@
 import numpy as np
 import gradio as gr
-from tensorflow.keras.models import load_model
 import imutils
 import matplotlib.pyplot as plt
 import cv2
@@ -11,12 +10,7 @@ import pickle
 
 model = load_model('daging128.model')
 mlb = pickle.loads(open('daging128.pickle', "rb").read())
-
-labels = ['Busuk', 'Segar', 'Setengah']
-
-
-
-
+labl = ['Busuk', 'Segar', 'Setengah']
 def gambaran(image):
     image = cv2.resize(image, (128, 128))
     image = image.astype("float") / 255.0
@@ -26,7 +20,7 @@ def gambaran(image):
     
     proba = model.predict(image)[0]
     idxs = np.argsort(proba)[::-1][:2]
-    return labels[idxs[0]]
+    return labl[idxs[0]]