update app.py

app.py

@@ -60,11 +60,11 @@ st.header("Sentinel Dataset Selector")
 # Step 1: Select main dataset category
 main_selection = st.selectbox("Select Sentinel Dataset Category", list(data.keys()))
 
-# # Step 2: Display sub-options based on main selection
-# sub_selection = None
-# if main_selection:
-#     sub_options = data[main_selection]["sub_options"]
-#     sub_selection = st.selectbox("Select Specific Dataset ID", list(sub_options.keys()))
+# Step 2: Display sub-options based on main selection
+sub_selection = None
+if main_selection:
+    sub_options = data[main_selection]["sub_options"]
+    sub_selection = st.selectbox("Select Specific Dataset ID", list(sub_options.keys()))
 
 #     # Step 3: Display band selection based on sub-selection with max 3 selections
 #     selected_bands = []
@@ -99,7 +99,7 @@ if index_choice == 'Custom Formula':
 # Step 6: Calculate and Display Results based on selected index or formula
 if sub_selection and st.button("Calculate Index"):
     # Use the selected dataset from the main and sub-selection as an ImageCollection
-    collection = ee.ImageCollection(sub_selection).filterDate('2020-01-01', '2020-12-31')
+    collection = ee.ImageCollection(sub_selection).filterDate('2020-01-01', '2020-1-31')
     image = collection.first()  # Using the first image in the collection as an example
 
     result_image = None