Update app.py

app.py

@@ -25,14 +25,10 @@ def predict(img):
     confidences: python dictionary containing confidences
     '''
     # Transform image to pytorch tensor of shape [1, 3, 224, 224]
-    print(type(img))
+    # Put your image transforms here
     img = T.PILToTensor()(img).unsqueeze(0)
-    print(img.dtype)
-    print(type(img))
     img = T.Resize(size=(224, 224))(img)
     img = img / 255
-    print(type(img))
-    print(img.dtype)
     
     # Use model without gradients to reduce computation
     with torch.no_grad():
@@ -48,4 +44,4 @@ gr.Interface(fn=predict,
              inputs=gr.Image(type="pil"),
              outputs=gr.Label(num_top_classes=10),
              theme="default",
-            ).launch(share=True)
+            ).launch(share=False)