remove conversion

app.py

@@ -17,11 +17,13 @@ output_layer = compiled_model.output(0)
 #Inference
 ##### 
 def predict(img: np.ndarray) -> str:
+    # input: numpy array of image in RGB (see defaults for https://www.gradio.app/docs/#image)
     
     # The MobileNet model expects images in RGB format.
-    image = cv2.cvtColor(img, code=cv2.COLOR_BGR2RGB)
+    #image = cv2.cvtColor(img, code=cv2.COLOR_BGR2RGB)
+    #image = cv2.cvtColor(img, code=cv2.COLOR_BGR2RGB)
     # Resize to MobileNet image shape.
-    input_image = cv2.resize(src=image, dsize=(224, 224))
+    input_image = cv2.resize(src=img, dsize=(224, 224))
     # Reshape to model input shape.
     input_image = np.expand_dims(input_image, 0)