Update app.py

app.py

@@ -99,8 +99,8 @@ print("Pinecone Vector/Embedding DB Ready.")
 
 index_name_extracted=pinecone.list_indexes()
 print(index_name_extracted)
-index_current = pinecone.Index(index_name=index_name_extracted)
-index_status=index_current.describe_index_stats(index_current) 
+index_current = pinecone.Index(index_name=index_name)
+index_status=index_current.describe_index_stats() 
 print(index_status)
 print(namespace)
 
@@ -131,8 +131,12 @@ chain = load_qa_chain(llm=llm, chain_type="stuff", prompt=PROMPT)
 def run_chain(user_query):
     pinecone.init(api_key=PINECONE_API_KEY, environment=PINECONE_ENVIRONMENT)
     index_name_extracted=pinecone.list_indexes()
-    index_current = pinecone.Index(index_name=index_name_extracted)
-    index_status=index_current.describe_index_stats(index_current) 
+    index_current = pinecone.Index(index_name=index_name)
+    index_status=index_current.describe_index_stats()
+    print("***********************************")
+    print(index_name_extracted)
+    print(index_status)
+    print(namespace)    
     if user_query !="" and not user_query.strip().isspace() and not user_query.isspace():
       print("Your query:\n"+user_query)
       vector_db_from_index = Pinecone.from_existing_index(index_name, hf_embeddings, namespace=namespace)
@@ -142,10 +146,11 @@ def run_chain(user_query):
       temp_ai_response = initial_ai_response.partition('<|end|>')[0]
       final_ai_response = temp_ai_response.replace('\n', '')
       print(final_ai_response)
+      print("***********************************")
       print(index_name_extracted)
       print(index_status)
       print(namespace) 
-      print("****************")
+      print("***********************************")
       return final_ai_response
     else:
       print("Invalid inputs.")