Update app.py

app.py

@@ -25,7 +25,7 @@ cross_encoder = CrossEncoder('cross-encoder/ms-marco-MiniLM-L-12-v2')
 def display_df_as_table(model,top_k,score='score'):
     # Display the df with text and scores as a table
     df = pd.DataFrame([(hit[score],passages[hit['corpus_id']]) for hit in model[0:top_k]],columns=['Score','Text'])
-    df['Score'] = round(df['Score'],2)
+    df['Score'] = round(df['Score'].astype(float),2)
     df = df.merge(netflix_df,how='inner',left_on='Text',right_on='description')
     df.drop('Text',inplace=True,axis=1)
     
@@ -56,6 +56,8 @@ def semantic_search(query,top_k):
     hits = sorted(hits, key=lambda x: x['cross-score'], reverse=True)
     cross_df = display_df_as_table(hits,top_k,'cross-score')
     
+    cross_df['Score'] = round(cross_df['Score'].astype(float),2)
+    
     return bi_df, cross_df