With latest write csv

app.py

@@ -133,20 +133,34 @@ def write_log(query,url, score, ans, ts):
     return
 
 logfile='querylog.csv'
+
+qlist=[
+'What are the best books for VARC in CAT?',
+'What is the XAT exam pattern? How many sections ? How many questions?',
+'I want to know about Personalized coaching for IGSE/IB ',
+'Which IIMs accept admissions under the IPM exam?',
+'What topics are covered under CAT exam syllabus?',
+'For CAT preparation which is better - online classes or classroom program?',
+'What programs are offered under CUET exam  by Central University of Jharkhand?',
+'What is the pattern of the IPM exam?',
+'When is the CAT 2024 exam going to be held?',
+'What are program benefits of the MBA 2024 Online Classes?'
+]
+
 try:
-    df_log = pd.read_csv("hf://datasets/sujitb/data/querylog.csv", encoding="utf-8")
+    df_log = pd.read_csv("hf://datasets/sujitb/data/querylog.csv", encoding="utf-8", index_col=0)
 except:
     df_log=pd.DataFrame(columns=['query','url','score','ans', 'ts'])
 
 st.title('CLLM Answering Machine')
 with st.sidebar:
-    st.markdown('*Search History*')
-    st.write('# Queries', len(df_log))
-    qrylist = df_log['query'].tail(10).tolist()
-    for q in qrylist[::-1]:
+    dispstr= 'Search History '+str(len(df_log))
+    st.markdown('*{}*'.format(dispstr))
+    #st.write('Past Queries')
+    qlist = df_log.tail(10)['query'].tolist()
+    for q in qlist[::-1]:
         st.write(q)
 
-
 # Initialize chat history
 if "messages" not in st.session_state:
     st.session_state.messages = []
@@ -156,6 +170,7 @@ for message in st.session_state.messages:
         st.markdown(message["content"])
 
 
+
 QUESTION = st.chat_input('Ask a question -e.g How to prepare for Verbal section for CAT?')
 
 
@@ -261,10 +276,12 @@ if QUESTION:
 
         now= str(datetime.utcnow())
         url = top_2[0]['url'] + ' ; '+top_2[1]['url']
+
         df_log.loc[len(df_log)]=[QUESTION,url,score,ans,now]
-        write_log(QUESTION,url, score, ans, now)
+        #write_log(QUESTION,url, score, ans, now)
         #df.to_csv("hf://datasets/sujitb/data/test.csv")
-        #df_log.to_csv("hf://datasets/sujitb/data/"+logfile)
+        storage_options={"token":token}
+        df_log.to_csv("hf://datasets/sujitb/data/"+logfile,storage_options= storage_options)
 
     else:  ## Zero response from pinecone query
         #st.write("No matches for query")
@@ -275,5 +292,6 @@ if QUESTION:
 
         now= str(datetime.utcnow())
         df_log.loc[len(df_log)]=[QUESTION,'No match',0,'-',now]
-        #df_log.to_csv("hf://datasets/sujitb/data/"+logfile)
-        write_log(QUESTION,'No match', 0, '-', now)
+        storage_options={"token":token}
+        df_log.to_csv("hf://datasets/sujitb/data/"+logfile,storage_options= storage_options)
+        #write_log(QUESTION,'No match', 0, '-', now)