Move sidebar code line to the top.

app.py

@@ -26,6 +26,13 @@ bucket_result = storage_client.bucket(bucket_name)
 bucket_name_load = "da-ml-models"
 bucket_load = storage_client.bucket(bucket_name_load)
 
+st.sidebar.title("Configuration")
+uploaded_file = st.sidebar.file_uploader("Upload Original Image", type=["png", "jpg", "jpeg", "dcm"])
+enhancement_type = st.sidebar.selectbox(
+    "Enhancement Type", 
+    ["Invert", "High Pass Filter", "Unsharp Masking", "Histogram Equalization", "CLAHE"]
+)
+
 # H = 224
 # W = 224
 
@@ -67,9 +74,9 @@ bucket_load = storage_client.bucket(bucket_name_load)
 #     image = cv2.rectangle(image, (x1, y1), (x2, y2), (255, 0, 0), 2)
 #     return image
 
-# st.title("Chest X-ray Disease Detection")
+## st.title("Chest X-ray Disease Detection")
 
-# st.write("Upload a chest X-ray image and click on 'Detect' to find out if there's any disease.")
+## st.write("Upload a chest X-ray image and click on 'Detect' to find out if there's any disease.")
 
 # model = load_model()
 
@@ -372,13 +379,6 @@ def load_model():
 ###########################################################################################
 
 
-st.sidebar.title("Configuration")
-uploaded_file = st.sidebar.file_uploader("Upload Original Image", type=["png", "jpg", "jpeg", "dcm"])
-enhancement_type = st.sidebar.selectbox(
-    "Enhancement Type", 
-    ["Invert", "High Pass Filter", "Unsharp Masking", "Histogram Equalization", "CLAHE"]
-)
-
 # File uploader for DICOM files
 if uploaded_file is not None:
     if hasattr(uploaded_file, 'name'):