Update app.py

app.py

@@ -31,19 +31,6 @@ bucket_load = storage_client.bucket(bucket_name_load)
 
 # Utility Functions #######################################################################
 
-# Upload Image #
-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"]
-)
-
-st.sidebar.title("Detection")
-uploaded_detection = st.sidebar.file_uploader("Upload image to detect", type=["png", "jpg", "jpeg", "dcm"])
-if st.sidebar.button('Open Viewer'):
-    redirect_button("https://new-ohif-viewer-k7c3gdlxua-et.a.run.app/")
-
 # object detection ########################################################################
 H_detection = 224
 W_detection = 224
@@ -399,6 +386,19 @@ def redirect_button(url):
 ########################### Streamlit Interface ###########################################
 ###########################################################################################
 
+# Upload Image #
+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"]
+)
+
+st.sidebar.title("Detection")
+uploaded_detection = st.sidebar.file_uploader("Upload image to detect", type=["png", "jpg", "jpeg", "dcm"])
+if st.sidebar.button('Open Viewer'):
+    redirect_button("https://new-ohif-viewer-k7c3gdlxua-et.a.run.app/")
+
 st.title("AI INTEGRATION FOR CHEST X-RAY")
 
 st.header("IMAGE ENHANCEMENT")