fixes

src/utils.py

@@ -49,6 +49,7 @@ WHISPER_BACKENDS = ["openai/whisper", "lightmare/whispercpp"]
 VOCODERS = ['univnet', 'bigvgan_base_24khz_100band', 'bigvgan_24khz_100band']
 TTSES = ['tortoise']
 
+INFERENCING = False
 GENERATE_SETTINGS_ARGS = None
 
 LEARNING_RATE_SCHEMES = {"Multistep": "MultiStepLR", "Cos. Annealing": "CosineAnnealingLR_Restart"}
@@ -320,6 +321,7 @@ def generate(**kwargs):
 
 		return info
 
+	INFERENCING = True
 	for line, cut_text in enumerate(texts):
 		if parameters['emotion'] == "Custom":
 			if parameters['prompt'] and parameters['prompt'].strip() != "":
@@ -371,6 +373,7 @@ def generate(**kwargs):
 
 	del gen
 	do_gc()
+	INFERENCING = False
 
 	for k in audio_cache:
 		audio = audio_cache[k]['audio']
@@ -486,7 +489,11 @@ def generate(**kwargs):
 	)
 
 def cancel_generate():
+	if not INFERENCING:
+		return
+		
 	import tortoise.api
+
 	tortoise.api.STOP_SIGNAL = True
 
 def hash_file(path, algo="md5", buffer_size=0):

src/webui.py

@@ -155,6 +155,16 @@ def import_generate_settings_proxy( file=None ):
 
 	return tuple(res)
 
+def reset_generate_settings_proxy( file=None ):
+	global GENERATE_SETTINGS_ARGS
+	settings = reset_generate_settings( file )
+
+	res = []
+	for k in GENERATE_SETTINGS_ARGS:
+		res.append(settings[k] if k in settings else None)
+
+	return tuple(res)
+
 def compute_latents_proxy(voice, voice_latents_chunks, progress=gr.Progress(track_tqdm=True)):
 	compute_latents( voice=voice, voice_latents_chunks=voice_latents_chunks, progress=progress )
 	return voice
@@ -688,7 +698,7 @@ def setup_gradio():
 		)
 
 		reset_generation_settings_button.click(
-			fn=reset_generation_settings,
+			fn=reset_generation_settings_proxy,
 			inputs=None,
 			outputs=generate_settings
 		)