Update app.py

app.py

@@ -37,6 +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)
         image_plan_path1 = os.path.join(images_file, "100.JPG")
         plan_image = Image.open(image_plan_path1)
     else:
@@ -169,12 +170,14 @@ 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 ValueError("Error in image size. Must [256,256,3].")
         
         plan_grayscale = plan_image[:, :, 0]
         plan_in = 1 - plan_grayscale
 
     elif plan_name == "Upload your own image" and uploaded_file is None:
+        raise gradio.Warning("Deafult plan processed. Image was not loaded 😒.", duration=5)
         numero = "100"
         plan_in = np.array(Image.open(f"{path_main}Scennarios init/Scennarios B/{numero}.png")) / 255
 
@@ -188,6 +191,9 @@ 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)
+            
         channels_c = [1, 6 , 11]
         channels = 3
         num_APs = np.zeros(channels, dtype=int)