Update app.py

app.py

@@ -17,9 +17,13 @@ con10, con20  = st.columns(2)
 st.success('*_Setup_*')
 with con10:
     st.write('')
-    time = st.selectbox('*_Time Frame_*', ('1','5','15','30','60','120','240','D','1W','1M'),key=1)
+    time1 = st.selectbox('*_Time Frame_*', ('1','5','15','30','60','120','240','D','1W','1M'),key=1)
     if time == 'D':
         time = 'close'
+        timeclose = 'close'
+    else:
+        timeclose = f'close|{time1}'
+        time = time1
 with con20:
     st.write('')
     price_from = st.number_input('*_Price_From_*', min_value=float(1), max_value=float(10000), value=float(100), step=float(5),key=23)
@@ -30,8 +34,8 @@ def create_link(url:str) -> str:
 
 if st.button('*_SUBMIT_*'):
     # Create a query with the required columns and conditions
-    df_Bulliesh = (Query().select('Exchange','name',f'close|{time}', f'volume|{time}', f'ADX-DI|{time}', f'ADX+DI|{time}').where(your_instance.crosses_below(Column(f'ADX-DI|{time}'), Column(f'ADX+DI|{time}')),Column(f'close|{time}').between(price_from, price_to)).order_by(f'volume|{time}', ascending=False).limit(5))
-    df_Beariesh = (Query().select('Exchange','name',f'close|{time}', f'volume|{time}', f'ADX-DI|{time}', f'ADX+DI|{time}').where(your_instance.crosses_above(Column(f'ADX-DI|{time}'), Column(f'ADX+DI|{time}')),Column(f'close|{time}').between(price_from, price_to)).order_by(f'volume|{time}', ascending=False).limit(5))
+    df_Bulliesh = (Query().select('Exchange','name',timeclose, f'volume|{time}', f'ADX-DI|{time}', f'ADX+DI|{time}').where(your_instance.crosses_below(Column(f'ADX-DI|{time}'), Column(f'ADX+DI|{time}')),Column(f'close|{time}').between(price_from, price_to)).order_by(f'volume|{time}', ascending=False).limit(5))
+    df_Beariesh = (Query().select('Exchange','name',timeclose, f'volume|{time}', f'ADX-DI|{time}', f'ADX+DI|{time}').where(your_instance.crosses_above(Column(f'ADX-DI|{time}'), Column(f'ADX+DI|{time}')),Column(f'close|{time}').between(price_from, price_to)).order_by(f'volume|{time}', ascending=False).limit(5))
 
     # Display the result
     df_Bulliesh = df_Bulliesh.set_markets('india').get_scanner_data()