Update app.py

app.py

@@ -32,9 +32,9 @@ HF_token = os.environ["HF_TOKEN"]
 # process all files and get the vectorstores collections
 # vectorestore colection are stored on persistent storage so this needs to be run only once
 # hence, comment out line below when creating for first time
-# vectorstores = process_pdf()
+vectorstores = process_pdf()
 # once the vectore embeddings  are created we will qdrant client to access these
-vectorstores = get_local_qdrant()
+#vectorstores = get_local_qdrant()
 
 # -------------------------------------------------------------
 # Functions
@@ -104,11 +104,9 @@ async def chat(query,history,sources,reports,subtype,year):
 
     ##------------------------decide which collection to fetch------------------------------
     if len(reports) == 0:
-        print("done")
-        #vectorstore = get_local_qdrant(client,sources)
+        vectorstore = vectorstores[source]
     else:
-        print("done")
-        #vectorstore = get_local_qdrant(client,"allreports")
+        vectorstore = vectorstores["allreports"]
 
     ##------------------------------get context----------------------------------------------------   
     #context_retrieved_lst = []