option to set results folder location

src/utils.py

@@ -252,7 +252,7 @@ def generate(**kwargs):
  
 	full_start_time = time.time()
  
-	outdir = f"./results/{voice}/"
+	outdir = f"./{args.results_folder}/{voice}/"
 	os.makedirs(outdir, exist_ok=True)
 
 	audio_cache = {}
@@ -2024,6 +2024,7 @@ def setup_args():
 
 		'output-sample-rate': 44100,
 		'output-volume': 1,
+		'results-folder': "./results/",
 		
 		'tts-backend': TTSES[0],
 		
@@ -2070,6 +2071,7 @@ def setup_args():
 	parser.add_argument("--autocalculate-voice-chunk-duration-size", type=float, default=default_arguments['autocalculate-voice-chunk-duration-size'], help="Number of seconds to suggest voice chunk size for (for example, 100 seconds of audio at 10 seconds per chunk will suggest 10 chunks)")
 	parser.add_argument("--output-sample-rate", type=int, default=default_arguments['output-sample-rate'], help="Sample rate to resample the output to (from 24KHz)")
 	parser.add_argument("--output-volume", type=float, default=default_arguments['output-volume'], help="Adjusts volume of output")
+	parser.add_argument("--results-folder", type=str, default=default_arguments['results-folder'], help="Sets output directory")
 	
 	parser.add_argument("--tts-backend", default=default_arguments['tts-backend'], help="Specifies which TTS backend to use.")
 
@@ -2137,6 +2139,7 @@ def get_default_settings( hypenated=True ):
 		'output-sample-rate': args.output_sample_rate,
 		'autocalculate-voice-chunk-duration-size': args.autocalculate_voice_chunk_duration_size,
 		'output-volume': args.output_volume,
+		'results-folder': args.results_folder,
 		
 		'tts-backend': args.tts_backend,
 
@@ -2183,6 +2186,7 @@ def update_args( **kwargs ):
 	args.output_sample_rate = 44000
 	args.autocalculate_voice_chunk_duration_size = settings['autocalculate_voice_chunk_duration_size']
 	args.output_volume = settings['output_volume']
+	args.results_folder = settings['results_folder']
 	
 	args.tts_backend = settings['tts_backend']
 	

src/webui.py

@@ -120,7 +120,7 @@ def update_training_configs():
 def history_view_results( voice ):
 	results = []
 	files = []
-	outdir = f"./results/{voice}/"
+	outdir = f"./{args.results_folder}/{voice}/"
 	for i, file in enumerate(sorted(os.listdir(outdir))):
 		if file[-4:] != ".wav":
 			continue
@@ -281,11 +281,11 @@ def update_voices():
 	return (
 		gr.Dropdown.update(choices=get_voice_list(append_defaults=True)),
 		gr.Dropdown.update(choices=get_voice_list()),
-		gr.Dropdown.update(choices=get_voice_list("./results/")),
+		gr.Dropdown.update(choices=get_voice_list(args.results_folder)),
 	)
 
 def history_copy_settings( voice, file ):
-	return import_generate_settings( f"./results/{voice}/{file}" )
+	return import_generate_settings( f"./{args.results_folder}/{voice}/{file}" )
 
 def setup_gradio():
 	global args
@@ -309,7 +309,7 @@ def setup_gradio():
 
 	voice_list_with_defaults = get_voice_list(append_defaults=True)
 	voice_list = get_voice_list()
-	result_voices = get_voice_list("./results/")
+	result_voices = get_voice_list(args.results_folder)
 	
 	autoregressive_models = get_autoregressive_models()
 	diffusion_models = get_diffusion_models()
@@ -571,6 +571,8 @@ def setup_gradio():
 					EXEC_SETTINGS['autocalculate_voice_chunk_duration_size'] = gr.Number(label="Auto-Calculate Voice Chunk Duration (in seconds)", precision=0, value=args.autocalculate_voice_chunk_duration_size)
 					EXEC_SETTINGS['output_volume'] = gr.Slider(label="Output Volume", minimum=0, maximum=2, value=args.output_volume)
 					EXEC_SETTINGS['device_override'] = gr.Textbox(label="Device Override", value=args.device_override)
+
+					EXEC_SETTINGS['results_folder'] = gr.Textbox(label="Results Folder", value=args.results_folder)
 					
 				with gr.Column():
 					# EXEC_SETTINGS['tts_backend'] = gr.Dropdown(TTSES, label="TTS Backend", value=args.tts_backend if args.tts_backend else TTSES[0])
@@ -651,7 +653,7 @@ def setup_gradio():
 			]
 		)
 		history_results_list.change(
-			fn=lambda voice, file: f"./results/{voice}/{file}",
+			fn=lambda voice, file: f"./{args.results_folder}/{voice}/{file}",
 			inputs=[
 				history_voices,
 				history_results_list,