switch probs

app.py

@@ -13,7 +13,7 @@ def classify_image(img):
     img_array_expanded_dims = img.reshape((-1, 128, 128, 3))
     prediction = model.predict(img_array_expanded_dims)
     prediction_prob = float(tf.nn.sigmoid(prediction))
-    probs = [prediction_prob, 1-prediction_prob]
+    probs = [1-prediction_prob, prediction_prob]
     return dict(zip(categories, probs))
 
 gr_image = gr.inputs.Image(shape=IMG_SIZE)