Update app.py

app.py

@@ -3,6 +3,9 @@ import pandas as pd
 import gradio as gr
 
 df=pd.read_parquet('df.parquet')
+dirname='lot3'
+
+df['fileclean']=df.file.str.replace(f'.*{dirname}/[^/]+/','').str.replace('[\(\)]','').str.replace('/[^/]+$','').str.replace('/',' ').str.replace('-',' ').str.replace(' 0+',' ')
 candidats=pd.read_parquet('candidats.parquet')
 
 document_store = InMemoryDocumentStore(use_bm25=True)
@@ -24,9 +27,8 @@ def semanticsearch(query):
       )
     results=[]
     for document in result['documents']:
-        result=document.to_dict()
-        for c in ['content_type','embedding','id']:
-          result.pop(c)
+        result=document.meta
+        result['score']=document.score
         results.append(result)
     results=pd.DataFrame(results)
     return results