Update app.py

app.py

@@ -24,6 +24,8 @@ with open('lastradartext.txt', 'r') as file:
 value1,value2,value3,value4,value5,value6=data_old.split('SEPERATOR')
 
 def getstuff(openapikey):
+  dateforfilesave=datetime.today().strftime("%d-%m-%Y")
+  print(dateforfilesave)
   mainlistofanswers=[]
   for each in ['www.mckinsey.com','www.bcg.com','www.bain.com','www.accenture.com']:
     print(each)
@@ -70,9 +72,7 @@ def getstuff(openapikey):
 
   tech_df["embedding"] = tech_df['tech'].apply(lambda x: get_embedding(x, engine=embedding_model))
 
-  
   print('Came here 4')
-  dateforfilesave=datetime.today().strftime("%d-%m-%Y")
 
   # Load the embeddings