Update app.py

app.py

@@ -6,52 +6,24 @@ import os
 def convert_embedding(sd15_embedding):
     output_path = "embedding.safetensors"
 
-    print("got here 1")
-    
     sd15_embedding = torch.load(sd15_embedding.name, map_location=torch.device('cpu'), 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
 
 iface = gr.Interface(
     fn=convert_embedding,
-    inputs=gr.File(label="Upload SD1.5 pt Embedding"),
-    outputs=gr.File(label="Download Converted SDXL safetensors Embedding"),
+    inputs=gr.File(label="Upload SD1.5 pt embedding"),
+    outputs=gr.File(label="Download converted SDXL safetensors embedding"),
     title="SD1.5 to SDXL Embedding Converter",
     description="Upload an SD1.5 embedding file in pt format to convert it to SDXL."
 )