fixes

app.py

@@ -179,13 +179,15 @@ def start_training(
     else:
         config["config"]["process"][0]["train"]["disable_sampling"] = True
     # Save the updated config
-    config_path = f"config/{slugged_lora_name}.yaml"
+    # generate a random name for the config
+    random_config_name = str(uuid.uuid4())
+    config_path = f"/tmp/{random_config_name}-{slugged_lora_name}.yaml"
     with open(config_path, "w") as f:
         yaml.dump(config, f)
     if is_spaces:
         print("Started training with spacerunner...")
-        # copy config to dataset_folder
-        shutil.copy(config_path, dataset_folder)
+        # copy config to dataset_folder as config.yaml
+        shutil.copy(config_path, dataset_folder + "/config.yaml")
         # get location of this script
         script_location = os.path.dirname(os.path.abspath(__file__))
         # copy script.py from current directory to dataset_folder
@@ -194,12 +196,12 @@ def start_training(
         shutil.copy(script_location + "/requirements.autotrain", dataset_folder + "/requirements.txt")
         # command to run autotrain spacerunner
         cmd = f"autotrain spacerunner --project-name {slugged_lora_name} --script-path {dataset_folder}"
-        cmd += f" --username {profile.name} --token {oauth_token} --backend spaces-l4x1"
+        cmd += f" --username {profile.username} --token {oauth_token} --backend spaces-l4x1"
         outcome = subprocess.run(cmd)
         if outcome.returncode == 0:
             return f"""# Your training has started. 
-    ## - Training Status: <a href='https://huggingface.co/spaces/{profile.name}/autotrain-{slugged_lora_name}?logs=container'>{profile.name}/autotrain-{slugged_lora_name}</a> <small>(in the logs tab)</small>
-    ## - Model page: <a href='https://huggingface.co/{profile.name}/{slugged_lora_name}'>{profile.name}/{slugged_lora_name}</a> <small>(will be available when training finishes)</small>"""
+    ## - Training Status: <a href='https://huggingface.co/spaces/{profile.username}/autotrain-{slugged_lora_name}?logs=container'>{profile.username}/autotrain-{slugged_lora_name}</a> <small>(in the logs tab)</small>
+    ## - Model page: <a href='https://huggingface.co/{profile.username}/{slugged_lora_name}'>{profile.username}/{slugged_lora_name}</a> <small>(will be available when training finishes)</small>"""
         else:
             print("Error: ", outcome.stderr)
             raise gr.Error("Something went wrong. Make sure the name of your LoRA is unique and try again")