Update app.py

app.py

@@ -30,7 +30,6 @@ def load_model():
     model.eval()
     return model
 
-model = load_model()
 
 def transform_image(image_bytes):
     my_transforms = transforms.Compose([transforms.Resize(255),
@@ -95,9 +94,10 @@ from torchvision import transforms
 # response = requests.get("https://git.io/JJkYN")
 # labels = response.text.split("\n")
 
+model = load_model()
 
 def predict(inp):
-  inp = transforms.ToTensor()(inp).unsqueeze(0)
+  inp = transforms.Resize((224, 224))(inp).transforms.ToTensor()(inp).unsqueeze(0)
   with torch.no_grad():
     prediction = torch.nn.functional.softmax(model(inp)[0], dim=0)
     confidences = {labels[i]: float(prediction[i]) for i in range(3)}