oops

src/utils.py

@@ -600,8 +600,10 @@ class TrainingState():
 						self.it_rate = rate
 					except Exception as e:
 						pass
-
-					message = f'[{self.epoch}/{self.epochs}, {self.it}/{self.its}, {step}/{steps}] [{self.epoch_rate}, {self.it_rate}] [Loss at it {self.losses[-1]["iteration"]}: {self.losses[-1]["loss"]}] [ETA: {self.eta_hhmmss}]'
+					last_loss = ""
+					if len(self.losses) > 0:
+						last_loss = f'[Loss @ it. {self.losses[-1]["iteration"]}: {self.losses[-1]["loss"]}]'
+					message = f'[{self.epoch}/{self.epochs}, {self.it}/{self.its}, {step}/{steps}] [{self.epoch_rate}, {self.it_rate}] {last_loss} [ETA: {self.eta_hhmmss}]'
 
 			if lapsed:
 				self.epoch = self.epoch + 1
@@ -1180,9 +1182,13 @@ def setup_args():
 
 	if os.path.isfile('./config/exec.json'):
 		with open(f'./config/exec.json', 'r', encoding="utf-8") as f:
+			try:
 				overrides = json.load(f)
 				for k in overrides:
 					default_arguments[k] = overrides[k]
+			except Exception as e:
+				print(e)
+				pass
 
 	parser = argparse.ArgumentParser()
 	parser.add_argument("--share", action='store_true', default=default_arguments['share'], help="Lets Gradio return a public URL to use anywhere")

src/webui.py

@@ -206,6 +206,7 @@ def import_training_settings_proxy( voice ):
 	outdir = f'./training/{voice}-finetune/'
 
 	in_config_path = f"{indir}/train.yaml"
+	out_config_path = None
 	out_configs = []
 	if os.path.isdir(outdir):
 		out_configs = sorted([d[:-5] for d in os.listdir(outdir) if d[-5:] == ".yaml" ])
@@ -240,6 +241,9 @@ def import_training_settings_proxy( voice ):
 	save_rate = int(config['logger']['save_checkpoint_freq'] / steps_per_iteration)
 
 	statedir = f'{outdir}/training_state/' # NOOO STOP MIXING YOUR CASES
+	resumes = []
+	resume_path = None
+	if os.path.isdir(statedir):
 		resumes = sorted([int(d[:-6]) for d in os.listdir(statedir) if d[-6:] == ".state" ])
 
 	if len(resumes) > 0:
@@ -490,7 +494,7 @@ def setup_gradio():
 
 						with gr.Row():
 							refresh_dataset_list = gr.Button(value="Refresh Dataset List")
-							import_dataset_button = gr.Button(value="Import Dataset")
+							import_dataset_button = gr.Button(value="Reuse/Import Dataset")
 					with gr.Column():
 						save_yaml_output = gr.TextArea(label="Console Output", interactive=False, max_lines=8)
 						with gr.Row():