Update app.py

app.py

@@ -22,11 +22,9 @@ def predict(img):
     size = (224, 224)
     image = ImageOps.fit(image, size)
     #turn the image into a numpy array
-    image_array = np.asarray(image)
-    # Normalize the image
-    normalized_image_array = (image_array.astype(np.float32) / 127.0) - 1
-    # Load the image into the array
-    data[0] = normalized_image_array
+    
+    
+    data[0] = np.asarray(image)
     # run the inference
     prediction = model.predict(data)
     gr.outputs.Label = open(labels.txt)