Update app.py

app.py

@@ -19,8 +19,8 @@ model=CNNtoRNN(embed_size=256,hidden_size=256,vocab_size=len(dataset.vocab),num_
 model.load_state_dict(torch.load(filepath,map_location='cpu'))
 model.eval()
 
-def launch(Image_Address):
-    im=Image.open(requests.get(Image_Address,stream=True).raw)
+def launch(input):
+    im=Image.open(requests.get(input,stream=True).raw)
     image=transform(im.convert('RGB')).unsqueeze(0)
 
     output=model.caption_image(image,dataset.vocab)