Update run.py

run.py

@@ -15,8 +15,8 @@ st.markdown("""
 
 # geemap.set_proxy(33210)
 
-# row1_col1, row1_col2, row1_col3 = st.columns([6, 1,1])
-row1_col1, row1_col2 = st.columns([7, 2])
+row1_col1, row1_col2, row1_col3 = st.columns([6, 2,1])
+# row1_col1, row1_col2 = st.columns([7, 2])
 
 Map = geemap.Map()
 
@@ -50,18 +50,18 @@ def pred_mask(pred,threshold):
     water=mask.updateMask(mask.gt(0.5))
     return water
 
-# with row1_col3:
-#     st.sidebar.title("About")
-#     st.sidebar.info(
-#         """
-#         This web [app](https://junchuanyu-ldtp.hf.space) is maintained by [Junchuan Yu](https://junchuanyu.netlify.app/posts/). You can follow me on social media:
-#             [GitHub](https://github.com/JunchuanYu) | [Zhihu](https://twitter.com/giswqs) .
+with row1_col3:
+    st.sidebar.title("About")
+    st.sidebar.info(
+        """
+        This web [app](https://junchuanyu-ldtp.hf.space) is maintained by [Junchuan Yu](https://junchuanyu.netlify.app/posts/). You can follow me on social media:
+            [GitHub](https://github.com/JunchuanYu) | [Zhihu](https://twitter.com/giswqs) .
         
-#         Sentinel-2 is used as the data, and 8-band images are used as training data (B4, B3, B2, B8, B11, B12, MNDWI, SDWI). The model uses a multi-scale deep neural network model based on transfer learning, and is implemented using otop technology
-#     """
-#     )
-#     st.sidebar.title("Contect")
-#     st.sidebar.info("Email: jason.yu.mail@qq.com")
+        Sentinel-2 is used as the data, and 8-band images are used as training data (B4, B3, B2, B8, B11, B12, MNDWI, SDWI). The model uses a multi-scale deep neural network model based on transfer learning, and is implemented using otop technology
+    """
+    )
+    st.sidebar.title("Contect")
+    st.sidebar.info("Email: jason.yu.mail@qq.com")
     
 with row1_col2: