Update app.py

app.py

@@ -37,7 +37,7 @@ def refinar_resultados(df, exclude_word="conjunto", include_word=False):
 def get_best_match(query, choices, limit=50):
     # Using RapidFuzz for improved performance and fuzzy matching
     matches = process.extract(query, choices, scorer=fuzz.WRatio, limit=limit)
-    return [match[0] for match in matches if match[1] > 50]
+    return [match[0] for match in matches if match[1] > 60]
     
 def filtrar_itens_similares(df, termo_pesquisa, limit=50):
     titulos = df['Title'].tolist()
@@ -61,7 +61,7 @@ def calcular_fator_avaliacao(titulo, EC, PU):
 def select_nearest_items(df, query):
     # Lower the title similarity threshold if necessary
     df['Title_Similarity'] = df['Title'].apply(lambda x: fuzz.WRatio(query, x))
-    df_filtered = df[df['Title_Similarity'] > 50]  # Adjusted threshold
+    df_filtered = df[df['Title_Similarity'] > 80]  # Adjusted threshold
 
     # Calculate mode price in a more inclusive manner
     mode_price = df_filtered['Price'].mode()