adding secrets

pag/monitor.py

@@ -16,6 +16,7 @@ import pandas as pd
 import grpc
 import pb.timesfm_pb2_grpc
 import pb.timesfm_pb2
+import openAI
 import time
 
 def check_authentication():
@@ -29,6 +30,8 @@ config.instance_id       = '352670fb-2edf-4abd-90c8-437485a2403e'
 config.sh_client_id      = 'ca95f10f-443c-4c60-9a36-98950292bb9b'
 config.sh_client_secret  = 'rNFGRxGNiNFrXJfGyHIkVRyGOrdWNsfI'
 config.sh_timesfm_IP = "34.121.141.161"
+client = OpenAI(api_key= os.environ['OPENAI_KEY'])
+print(os.environ)
 
 def select_field(gdf):
     st.markdown("""
@@ -303,15 +306,16 @@ def monitor_fields():
         
         if field_name != "Select Field":
             st.title(":orange[Predict Metrics for Next Month]")
+            st.write(f"Press the button below to predict {metric} for the next 10 weeks")
             subcol1, subcol2, subcol3 = st.columns(3)
-            if subcol2.button(f'Predict {metric} for Next 3 Months'):
+            if subcol2.button(f'Predict & Recommend'):
                 start_date = '2024-01-01'
                 today = datetime.today()
                 end_date = today.strftime('%Y-%m-%d')
                 year = '2024'
 
                 dates = get_and_cache_available_dates(gdf, field_name, year, start_date, end_date)
-                my_bar = st.progress(0, text= f"Downloading Data for the last {len(dates)//4} months ...")
+                my_bar = st.progress(0, text= f"Downloading Data for the last {len(dates)//6} months ...")
                 counter = 0
                 downloaded_prev_metrics = []
                 for index, date in enumerate(dates):