resolving error

app.py

@@ -10,6 +10,7 @@ import os
 import pandas as pd
 from datetime import datetime
 import json
+import re
 
 
 
@@ -48,6 +49,10 @@ def intializeFAISS(docs):
         print('--intialization method--')        
         print(ex)
         
+def dummy(r):
+    return{
+
+    }
 
 def prepare_doc(r):
         _content=f'''{r['Salutation']} {r['Initial']} {r['Name']}, Employee Id is {r['Employee Id']} and user id is {r['User Id']},  is from country {r['Country']},  Supervisor / Manager name is {r['Supervisor / Manager']}  and Contracting Company is  {r['Contracting Company']},  Primary Industry is {r['Primary Industry']}  and Secondary Industry	is {r['Secondary Industry']}, there Sector is {r['Sector']}, they are expertise in {r['Expertise']}, there role is {r['Industry Role']}. There last Last Promotion Date is  {r['Last Promotion Date']} and {r['Last Promotional Level']}, There Job Title is {r['Job Title']}, they are working here since {r['Professional Since']}, there hired date is {r['Hired Date']}, there Relevant is {r['Relevant']}, Employee Sponser is {r['Employee Sponser']}, Job Description is {r['Job Description']},  Emergency Contact Name is {r['Emergency Contact Name']} and Emergency Contact Number  is {r['Emergency Contact Number']}, Regional Supervisor is {r['Regional Supervisor']}  Office Supervisor is {r['Office Supervisor']} Engagement Supervisor is {r['Engagement Supervisor']} '''
@@ -101,8 +106,7 @@ def on_submission(question):
                                             })
         
         if prediction:            
-            df=st.dataframe(prediction['answers'][0])
-            print(type(df))
+            text=str(prediction['answers'][0])
                 
 
     except Exception as ex:
@@ -113,10 +117,18 @@ def on_submission(question):
 uploaded_file=st.file_uploader(label='please upload your file',type=['csv'])
 
 if uploaded_file is not None:
-    df=pd.read_csv(uploaded_file)
-    df['formatted_content']=df.apply(prepare_doc,axis=1)
-    document=df['formatted_content'].to_numpy()
-    intializeFAISS(docs=document)
+    try:
+        df=pd.read_csv(uploaded_file)
+        employee_list=df.to_json(orient='records')
+        doc=[]
+        json_emp=json.loads(employee_list)
+        for e in json_emp:
+            doc.append(prepare_doc(e))
+
+        intializeFAISS(docs=doc)
+    except Exception as ex:
+        print('--uploaded_file method--')
+        print(ex)
 
 #intialize form
 with st.form(key='workforce_management'):