Update app.py

app.py

@@ -232,7 +232,6 @@ def start_training(
         "cache_latents",
         "push_to_hub",
     ]
-    slugged_lora_name
     # Adding optional flags
     if optimizer == "8bitadam":
         commands.append("use_8bit_adam")
@@ -286,7 +285,7 @@ git+https://github.com/huggingface/datasets.git'''
     subprocess_command = ["autotrain", "spacerunner", "--project-name", slugged_lora_name, "--script-path", spacerunner_folder, "--username", username, "--token", token, "--backend", "spaces-a10gl", "--env","HF_TOKEN=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;HF_HUB_ENABLE_HF_TRANSFER=1", "--args", spacerunner_args]
     print(subprocess_command)
     subprocess.run(subprocess_command)
-    return f"Your training has started. Run over to <a href='https://huggingface.co/spaces/{username}/slugged_lora_name'>{username}/slugged_lora_name</a> to check the status (click the logs tab)"
+    return f"<h2>Your training has started. Run over to <a href='https://huggingface.co/spaces/{username}/{slugged_lora_name}'>{username}/{slugged_lora_name}</a> to check the status (click the logs tab)</h2>"
 
 def start_training_og(
     lora_name,