''

Tools.py

@@ -5,7 +5,7 @@ import streamlit as st
 import pymysql
 import ast
 import re
-from utils import word_sentence_similarity, extract_meaning_by_language, get_list_meaning_word, get_details_mantra_json
+from utils import word_sentence_similarity, get_list_meaning_word, get_details_mantra_json, iast_process
 from llama_index.core.tools.tool_spec.base import BaseToolSpec
 from database import execute_query
 import pandas as pd

utils.py

@@ -113,8 +113,13 @@ def extract_meaning_by_language(data_list, target_language='English'):
 #mantra_json_details
 def get_details_mantra_json(query):
     description, data = execute_query(query)
+    print(data)
     df = pd.DataFrame(data)
     df.columns = [x[0] for x in description]
     mantra_json = df['mantra_json'].values[0]
     cleaned_data = re.sub('<[^<]+?>', '', mantra_json)
-    return json.loads(cleaned_data)
+    return json.loads(cleaned_data)
+
+def iast_process(input_text):
+    output_text = re.sub('[\u0951-\u0954,\u200d,\u0331]', '', input_text)
+    return output_text