Update app.py

app.py

@@ -76,8 +76,9 @@ def compare_text(transcript, categories, threshold):
                         'similarity': score
                     }
                     df_results = df_results.append(new_row, ignore_index=True)
-    
-    df_results = df_results.sort_values(['line','similarity'],ascending=[True,False])
+
+    df_by_line = df_cosines.round(decimals = 3) 
+    df_results = df_results.sort_values(['line','similarity'],ascending=[True,False]).round(decimals = 3)
 
     df_summary = pd.DataFrame(df_cosines.max(numeric_only=True),columns=['similarity'])
     df_summary['ok'] = np.where(df_summary['similarity'] > threshold, True, False)
@@ -102,9 +103,7 @@ def compare_text(transcript, categories, threshold):
     df_results = df_results.round(decimals = 3)
     df_summary = df_summary['similarity'].round(decimals = 2)
     
-    df_by_line = pd.DataFrame(columns=['line', 'sentence', 'phrase', 'category', 'similarity'])
-    
-    return df_summary.to_dict(), fig, df_results, df_by_line
+    return df_summary.to_dict(), fig, df_by_line, df_results
 
 categories = """Hello=Hello, how are you doing today?;Hi, everybody;Hi;My name's Johnny
 What=most advanced conversation intelligence and AI powered coaching platform;a software platform that helps people reach their potential;for communicating and connecting;empowered by behavioral science;uses artificial intelligence;drives performance outcomes for customer facing teams;help them sell more;help them deliver better experiences