Update pages/Entorno de Ejecución.py

pages/Entorno de Ejecución.py

@@ -46,7 +46,7 @@ def _predict(_model_list, _img, sklearn = False):
 
     else:    
         for model in _model_list:
-            y_gorrito += tf.cast(model(tf.expand_dims(img/255., 0)), dtype=tf.float32)*weight
+            y_gorrito += tf.cast(model(tf.expand_dims(img/255., 0)), dtype=tf.float32)
     
     return [y_gorrito / len(_model_list), raw_img]
 
@@ -126,7 +126,7 @@ with cnn:
             model_dir = os.path.join(DIR, model)
             model_name = 'Patacotrón ' + model_dir.split(common_root)[-1].split(common_end)[0]
             model_dict[model_name] = model_dir
-        weight_list = []
+        #weight_list = []
             
         # Create a dropdown menu to select the model
         model_choice = st.multiselect("Seleccione uno o varios modelos de clasificación", model_dict.keys())