Global model aded clobal tts_model to fix.

extensions/elevenlabs_tts/script.py

@@ -1,5 +1,4 @@
 import re
-import time
 from pathlib import Path
 
 import elevenlabs
@@ -94,7 +93,7 @@ def history_modifier(history):
     return history
 
 
-def output_modifier(string, state):
+def output_modifier(string):
     global params, wav_idx
 
     if not params['activate']:
@@ -109,7 +108,7 @@ def output_modifier(string, state):
     if string == '':
         string = 'empty reply, try regenerating'
 
-    output_file = Path(f'extensions/elevenlabs_tts/outputs/{state["character_menu"]}_{int(time.time())}.mp3'.format(wav_idx))
+    output_file = Path(f'extensions/elevenlabs_tts/outputs/{wav_idx:06d}.mp3'.format(wav_idx))
     print(f'Outputting audio to {str(output_file)}')
     try:
         audio = elevenlabs.generate(text=string, voice=params['selected_voice'], model=params['model'])
@@ -161,7 +160,7 @@ def ui():
             api_key = gr.Textbox(placeholder="Enter your API key.", label='API Key')
 
     with gr.Row():
-        tts_model = gr.Dropdown(value=params['model'], choices=LANG_MODELS, label='Language model')
+        model = gr.Dropdown(value=params['model'], choices=LANG_MODELS, label='Language model')
 
     with gr.Row():
         convert = gr.Button('Permanently replace audios with the message texts')
@@ -191,7 +190,7 @@ def ui():
     activate.change(lambda x: params.update({'activate': x}), activate, None)
     voice.change(lambda x: params.update({'selected_voice': x}), voice, None)
     api_key.change(update_api_key, api_key, None)
-    tts_model.change(lambda x: params.update({'model': x}), tts_model, None)
+    model.change(lambda x: params.update({'model': x}), model, None)
     # connect.click(check_valid_api, [], connection_status)
     refresh.click(refresh_voices_dd, [], voice)
     # Event functions to update the parameters in the backend

extensions/silero_tts/script.py

@@ -49,12 +49,12 @@ def load_model():
     model_path = torch_cache_path + "/snakers4_silero-models_master/src/silero/model/" + params['model_id'] + ".pt"
     if Path(model_path).is_file():
         print(f'\nUsing Silero TTS cached checkpoint found at {torch_cache_path}')
-        tts_model, example_text = torch.hub.load(repo_or_dir=torch_cache_path + '/snakers4_silero-models_master/', model='silero_tts', language=params['language'], speaker=params['model_id'], source='local', path=model_path, force_reload=True)
+        model, example_text = torch.hub.load(repo_or_dir=torch_cache_path + '/snakers4_silero-models_master/', model='silero_tts', language=params['language'], speaker=params['model_id'], source='local', path=model_path, force_reload=True)
     else:
         print(f'\nSilero TTS cache not found at {torch_cache_path}. Attempting to download...')
-        tts_model, example_text = torch.hub.load(repo_or_dir='snakers4/silero-models', model='silero_tts', language=params['language'], speaker=params['model_id'])
-    tts_model.to(params['device'])
-    return tts_model
+        model, example_text = torch.hub.load(repo_or_dir='snakers4/silero-models', model='silero_tts', language=params['language'], speaker=params['model_id'])
+    model.to(params['device'])
+    return model
 
 
 def remove_tts_from_history(history):
@@ -105,10 +105,10 @@ def history_modifier(history):
 
 
 def output_modifier(string, state):
-    global tts_model, current_params, streaming_state
+    global model, current_params, streaming_state
     for i in params:
         if params[i] != current_params[i]:
-            tts_model = load_model()
+            model = load_model()
             current_params = params.copy()
             break
 
@@ -124,7 +124,7 @@ def output_modifier(string, state):
         output_file = Path(f'extensions/silero_tts/outputs/{state["character_menu"]}_{int(time.time())}.wav')
         prosody = '<prosody rate="{}" pitch="{}">'.format(params['voice_speed'], params['voice_pitch'])
         silero_input = f'<speak>{prosody}{xmlesc(string)}</prosody></speak>'
-        tts_model.save_wav(ssml_text=silero_input, speaker=params['speaker'], sample_rate=int(params['sample_rate']), audio_path=str(output_file))
+        model.save_wav(ssml_text=silero_input, speaker=params['speaker'], sample_rate=int(params['sample_rate']), audio_path=str(output_file))
 
         autoplay = 'autoplay' if params['autoplay'] else ''
         string = f'<audio src="file/{output_file.as_posix()}" controls {autoplay}></audio>'
@@ -136,8 +136,8 @@ def output_modifier(string, state):
 
 
 def setup():
-    global tts_model
-    tts_model = load_model()
+    global model
+    model = load_model()
 
 
 def ui():

modules/shared.py

@@ -13,7 +13,6 @@ is_seq2seq = False
 model_name = "None"
 lora_names = []
 model_dirty_from_training = False
-tts_model = None
 
 # Chat variables
 stop_everything = False