Update app.py

app.py

@@ -87,9 +87,9 @@ print(PINECONE_INDEX_NAME)
 pinecone.init(api_key=PINECONE_API_KEY, environment=PINECONE_ENVIRONMENT)
 index_name = PINECONE_INDEX_NAME
 #index_name = pinecone.Index(index_name)
-print(index_name)
+print("index_name:"+index_name)
 namespace = random_string
-print(namespace)
+print("namespace:"+namespace)
 
 vector_db = Pinecone.from_texts(db_texts, hf_embeddings, index_name=index_name, namespace=namespace)
 #vector_db = Pinecone.from_texts([t.page_content for t in db_texts], hf_embeddings, index_name=index_name, namespace=namespace)
@@ -98,11 +98,12 @@ print("***********************************")
 print("Pinecone Vector/Embedding DB Ready.")
 
 index_name_extracted=pinecone.list_indexes()
-print(index_name_extracted)
+print("index_name_extracted:"+index_name_extracted)
 index_current = pinecone.Index(index_name=index_name)
+print("index_current:"+index_current)
 index_status=index_current.describe_index_stats() 
-print(index_status)
-print(namespace)
+print("index_status:"+index_status)
+print("namespace:"+namespace)     
 
 llm = HuggingFaceHub(repo_id=repo_id,
                      model_kwargs={"min_length":100,
@@ -133,10 +134,11 @@ def run_chain(user_query):
     index_name_extracted=pinecone.list_indexes()
     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)    
+    print("***********************************")  
+    print("index_name_extracted:"+index_name_extracted)
+    print("index_current:"+index_current)    
+    print("index_status:"+index_status)
+    print("namespace:"+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)
@@ -145,22 +147,27 @@ def run_chain(user_query):
       #initial_ai_response=chain({"input_documents": ss_results, "question": user_query}, return_only_outputs=True)            
       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("final_ai_response:"+final_ai_response)
+      print("***********************************")    
+      print("index_name_extracted:"+index_name_extracted)
+      print("index_status:"+index_status)
+      print("namespace:"+namespace) 
       print("***********************************")
       return final_ai_response
     else:
       print("Invalid inputs.")  
 
-def delete_index_namespace():
-    pinecone.init(api_key=PINECONE_API_KEY, environment=PINECONE_ENVIRONMENT)    
+def delete_index_namespace():  
+    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_namespace_to_delete = pinecone.Index(index_name=index_name_extracted)
+    index_current = pinecone.Index(index_name=index_name)
+    index_status=index_current.describe_index_stats()
+    print("***********************************")
+    print("index_name_extracted:"+index_name_extracted)
+    print("index_current:"+index_current)    
+    print("index_status:"+index_status)
+    print("namespace:"+namespace)       
+    index_namespace_to_delete = pinecone.Index(index_name=index_current)
     index_namespace_to_delete.delete(delete_all=True, namespace=namespace)
     print("Pinecone Index Namespace: "+namespace+" has been deleted!")