fix imread issue

app.py

@@ -28,7 +28,9 @@ model.eval()
 if uploaded_file is not None:
     if '.jpg' in uploaded_file.name.lower() or '.png' in uploaded_file.name.lower():
         st.write(uploaded_file.name)
-        img = cv2.imread(uploaded_file.name)
+        img = Image.open(uploaded_file)
+        st.image(img)
+        img = np.array(img)
         img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) # OpenCV images have a different color profile. So remember to switch to RGB, that our resnet model understands.
 
         cust_transform = A.Compose([A.Resize(height=256, width=256, p=1.0),ToTensorV2(p=1.0)], p=1.0)
@@ -38,7 +40,6 @@ if uploaded_file is not None:
         custom_pred = model.forward(tensor).detach().numpy() # Forward is the python method defined inside the resnet.
         custom_pred
 
-        st.image(img)
         st.write(f'Predicted: {id2class[np.argmax(custom_pred)]}')
     elif '.csv' in uploaded_file.name:
         dataframe = pd.read_csv(uploaded_file)