Update app.py

app.py

@@ -338,6 +338,8 @@ def avaliacao_imovel(planilha, v_d, scv_d,
     model = ExtraTreesRegressor()
     model.fit(x_norm,new_y)
 
+    feature_importances = model.feature_importances_
+
     # Criando o gráfico de influência das variáveis
     #feat_importances = pd.Series(model.feature_importances_, index=X.columns)
     #feat_importances.nlargest(16).plot(kind='barh', color = 'orange')
@@ -684,6 +686,7 @@ def avaliacao_imovel(planilha, v_d, scv_d,
     return (
     df_original,
     colunas,
+    feature_importances,
     resultados_gerais,
     equacao_modelo,
     resultado_html,
@@ -792,6 +795,7 @@ with gr.Blocks(theme=gr.themes.Default(primary_hue="yellow", secondary_hue="yell
         with gr.Column():
             out_1 = gr.Dataframe(label="Planilha de dados original", height=300)
             out_2 = gr.Textbox(label="Colunas", scale=1)
+            out_32 = gr.Textbox(label="Importância das Variáveis (ExtraTreesRegressor()) ", scale=1)
             with gr.Row():
                 out_3 = gr.Textbox(label="Resultados Gerais do Modelo", scale=1)
                 out_4 = gr.Textbox(label="Equação do Modelo")
@@ -832,7 +836,7 @@ with gr.Blocks(theme=gr.themes.Default(primary_hue="yellow", secondary_hue="yell
             #out_off_5 = gr.components.File(label="y")
             
     inputs = [
-        inp_1, inp_2, inp_3, inp_4, inp_5, inp_6, inp_7, inp_8, inp_9, inp_10,
+        inp_1, inp_2, out_32, inp_3, inp_4, inp_5, inp_6, inp_7, inp_8, inp_9, inp_10,
         inp_11, inp_12, inp_13, inp_14, inp_15, inp_16, inp_17, inp_18, inp_19, inp_20,
         inp_21, inp_22, inp_23, inp_24, inp_25, inp_26, inp_27, inp_28, inp_29, inp_30,
         inp_31, inp_32, inp_33, inp_34, inp_35, inp_36