Gradio app summary

interpret_judgement.py

@@ -5,6 +5,7 @@ import logging
 import sys
 import os.path
 import requests
+from simple_kv_store import SimpleKVStore
 
 Settings.embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-base-en-v1.5")
 Settings.llm = HuggingFaceInferenceAPI(
@@ -43,3 +44,9 @@ def interpret_judgement(case_url, file_name='test', title=''):
     query_engine = index.as_query_engine()
     return query_engine.query(f'''Intepret and simplify the judegement {title} from given context. Convert it into a 3-4 line NEWS story format.
                               It should include information about petitioner, respondent and quick summary of order passed.''')
+
+def interpret_by_case_title(case_title):
+    diary_no = case_title.split('-')[0]
+    case_obj = SimpleKVStore.get(diary_no)
+    logging.info(f'Found case in gradio app kv store {case_obj}')
+    return interpret_judgement(case_obj['link'], diary_no, case_title)