Update run.py

run.py

@@ -5,6 +5,8 @@ import streamlit as st
 import pandas   as  pd
 import numpy as np
 
+my_data = os.environ.get('my_data')
+
 st.set_page_config(page_title="TPL MAPPING",layout="wide")
 
 st.markdown("""
@@ -20,7 +22,7 @@ row1_col1, row1_col2, row1_col3 = st.columns([6, 2,1])
 
 Map = geemap.Map()
 
-region = ee.FeatureCollection("projects/useful-tempest-341103/assets/water/TPBoundary")
+region = ee.FeatureCollection(my_data)
 
 datastart='2021-06-01'
 dataend='2021-10-15'
@@ -57,7 +59,7 @@ with row1_col3:
         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
+         An 8-band combination (B4, B3, B2, B8, B11, B12, MNDWI, SDWI) of Sentinel-2 and Sentinel-1 was used for training and lake extraction. The model uses a multi-scale deep neural network based on transfer learning and is implemented using OTOP technology
     """
     )
     st.sidebar.title("Contect")