Logging added

app.py

@@ -4,6 +4,8 @@ import streamlit as st
 from pinecone import Pinecone, ServerlessSpec
 from sentence_transformers import SentenceTransformer, util
 from openai import OpenAI
+from datetime import datetime
+import pandas as pd
 import os
 api_key='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'
 
@@ -21,6 +23,11 @@ pc_api_key= '3f916d01-2a69-457d-85eb-966c5d1849a8'  #AWS
 pc = Pinecone(api_key=pc_api_key)
 index = pc.Index(name=INDEX_NAME)
 
+try:
+    df_log=pd.read_csv('query.csv', index_col=0)
+except:
+    df_log=pd.DataFrame(columns=['query','url', 'result', 'ts'])
+
 def query_from_pinecone(index,namespace, question_embedding, top_k=3):
     # get embedding from THE SAME embedder as the documents
 
@@ -92,6 +99,12 @@ if QUESTION:
 
         st.write(url)
         st.write(ans)
+        now= str(datetime.utcnow())
+        df_log.loc[len(df_log)]=[QUESTION,resp[0]['id'],ans,now]
+        df_log.to_csv('query.csv')
 
     else:
         st.write("No matches for query")
+        now= str(datetime.utcnow())
+        df_log.loc[len(df_log)]=[QUESTION,'No match','-',now]
+        df_log.to_csv('query.csv')