Update app.py

app.py

@@ -74,12 +74,12 @@ model.load_state_dict(torch.load('resnet18_model (1).pth', map_location=torch.de
 model.eval()
 
 # Image upload
-uploaded_img = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
+uploaded_img = st.file_uploader("**Upload an image**", type=["jpg", "jpeg", "png"])
 
 if uploaded_img is not None:
     # Display uploaded image in a smaller size
     image = Image.open(uploaded_img)
-    st.image(image, caption="Uploaded Image", width=200)  # Set width to reduce image size
+    st.image(image, caption="**Uploaded Image**", width=200)
 
     # Image transformations
     sample_transform = transforms.Compose([