Update app.py

app.py

@@ -37,7 +37,7 @@ def load_plan_vi(mapa_seleccionado, uploaded_file):
     if mapa_seleccionado == "Upload your own image" and uploaded_file is not None:
         plan_image = Image.open(uploaded_file.name)
     elif mapa_seleccionado == "Upload your own image" and uploaded_file is None:
-        raise gradio.Warning("Deafult plan. Image was not loaded 😒.", duration=5)
+        # raise gradio.Warning("Deafult plan. Image was not loaded 😒.", duration=5)
         image_plan_path1 = os.path.join(images_file, "100.JPG")
         plan_image = Image.open(image_plan_path1)
     else:
@@ -170,7 +170,7 @@ def main_function(plan_name, uploaded_file, interference = True, aps_int = 0, ap
 
         dimensiones = plan_image.shape
         if dimensiones[0] != 256 or dimensiones[1] != 256 or dimensiones[3] != 3:
-            raise gradio.Error("Error in dimensions of the uploaded image. Must [256,256,3] 💣🎆.", duration=5)
+            # raise gradio.Error("Error in dimensions of the uploaded image. Must [256,256,3] 💣🎆.", duration=5)
             raise ValueError("Error in image size. Must [256,256,3].")
         
         plan_grayscale = plan_image[:, :, 0]
@@ -191,8 +191,8 @@ def main_function(plan_name, uploaded_file, interference = True, aps_int = 0, ap
     dimension = 256
 
     if interference:
-        if apch1 == 0 and apch6 == 0 and apch11 == 0:
-            raise gradio.Warning("There are not APs for estimation 😒.", duration=5)
+        # if apch1 == 0 and apch6 == 0 and apch11 == 0:
+        #     raise gradio.Warning("There are not APs for estimation 😒.", duration=5)
             
         channels_c = [1, 6 , 11]
         channels = 3