forgot to save the simplified training input json first before touching any of the settings that dump to the yaml

src/utils.py

@@ -1348,6 +1348,10 @@ def save_training_settings( **kwargs ):
 	settings = {}
 	settings.update(kwargs)
 
+	outjson = f'./training/{settings["voice"]}/train.json'
+	with open(outjson, 'w', encoding="utf-8") as f:
+		f.write(json.dumps(settings, indent='\t') )
+
 	settings['dataset_path'] = f"./training/{settings['voice']}/train.txt"
 	settings['validation_path'] = f"./training/{settings['voice']}/validation.txt"
 
@@ -1428,9 +1432,6 @@ def save_training_settings( **kwargs ):
 	if settings['dataset_path'] == settings['validation_path'] or not os.path.exists(settings['validation_path']):
 		settings['validation_enabled'] = 'false'
 	"""
-	outjson = f'./training/{settings["voice"]}/train.json'
-	with open(outjson, 'w', encoding="utf-8") as f:
-		f.write(json.dumps(settings, indent='\t') )
 
 	if settings['resume_state']:
 		settings['source_model'] = f"# pretrain_model_gpt: {settings['source_model']}"

src/webui.py

@@ -414,7 +414,7 @@ def setup_gradio():
 							TRAINING_SETTINGS["gpus"] = gr.Number(label="GPUs", value=get_device_count(), precision=0)
 
 						TRAINING_SETTINGS["source_model"] = gr.Dropdown( choices=autoregressive_models, label="Source Model", type="value", value=autoregressive_models[0] )
-						TRAINING_SETTINGS["resume_state"] = gr.Textbox(label="Resume State Path", placeholder="./training/${voice}/training_state/${last_state}.state")
+						TRAINING_SETTINGS["resume_state"] = gr.Textbox(label="Resume State Path", placeholder="./training/${voice}/finetune/training_state/${last_state}.state")
 						
 						TRAINING_SETTINGS["voice"] = gr.Dropdown( choices=dataset_list, label="Dataset", type="value", value=dataset_list[0] if len(dataset_list) else ""  )