Update app.py

app.py

@@ -6,17 +6,45 @@ import os
 def convert_embedding(sd15_embedding):
     output_path = "embedding.safetensors"
 
+    print("got here 1")
+    
     sd15_embedding = torch.load(sd15_embedding.name, weights_only=True)
+
+    
+    print("got here 2")
+
+    
     sd15_tensor = sd15_embedding['string_to_param']['*']
+
+    
+    print("got here 3")
+
     
     num_vectors = sd15_tensor.shape[0]
     clip_g_shape = (num_vectors, 1280)
     clip_l_shape = (num_vectors, 768)
+
+
+    
+    print("got here 4")
+
+    
     clip_g = torch.zeros(clip_g_shape, dtype=torch.float16)
     clip_l = torch.zeros(clip_l_shape, dtype=torch.float16)
+
+    
+
+    
+    print("got here 5")
+
+
+    
     clip_l[:sd15_tensor.shape[0], :sd15_tensor.shape[1]] = sd15_tensor.to(dtype=torch.float16)
     save_file({"clip_g": clip_g, "clip_l": clip_l}, output_path)
 
+    print("got here 6")
+
+    
     # Return the path to the converted file for download
     return output_path