Update pipeline.py

pipeline.py

@@ -19,8 +19,8 @@ class PreTrainedPipeline():
     def __call__(self, inputs: "Image.Image")-> List[Dict[str, Any]]:
 
         # convert img to numpy array, resize and normalize to make the prediction
-        with Image.open(inputs) as img:
-            img = np.array(img)
+        #with Image.open(inputs) as img:
+        img = np.array(inputs)
 
         im = tf.image.resize(img, (128, 128))
         im = tf.cast(im, tf.float32) / 255.0