language switch

app.py

@@ -27,14 +27,36 @@ voice_models = [
 ]
 current_voice_model = None
 
-# move models to a more persistant place
-# try:
-# 	for voice_model_name in voice_model_names:
-# 		os.rename(hf_cache_models_path + voice_model_name + '.pt', models_path + voice_model_name + '.pt')
-# 		os.rename(hf_cache_models_path + voice_model_name + '.json', models_path + voice_model_name + '.json')
-# 		os.rename(hf_cache_models_path + voice_model_name + '.wav', models_path + voice_model_name + '.wav')
-# except Exception as e:
-# 	print(f'Failed to move downloaded models, perhaps already moved: {e}')
+languages = [
+	"en",
+	"de",
+	"es",
+	"it",
+	"fr",
+	"ru",
+	"tr",
+	"la",
+	"ro",
+	"da",
+	"vi",
+	"ha",
+	"nl",
+	"zh",
+	"ar",
+	"uk",
+	"hi",
+	"ko",
+	"pl",
+	"sw",
+	"fi",
+	"hu",
+	"pt",
+	"yo",
+	"sv",
+	"el",
+	"wo",
+	"jp"
+]
 
 def run_xvaserver():
 	# start the process without waiting for a response
@@ -91,7 +113,7 @@ def load_model(voice_model_name):
 
 	return
 
-def predict(input_text, pacing, voice):
+def predict(input_text, pacing, voice, lang):
 
 	# load voice model if not the current model
 	if (current_voice_model != voice):
@@ -100,7 +122,7 @@ def predict(input_text, pacing, voice):
 	model_type = 'xVAPitch'
 	pace = pacing if pacing else 1.0
 	save_path = '/tmp/xvapitch_audio_sample.wav'
-	language = 'en'
+	language = lang
 	base_speaker_emb = 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 	use_sr = 0
 	use_cleanup = 0
@@ -142,13 +164,19 @@ voice_radio = gr.Radio(
 	label="Voice",
 	info="NVIDIA HIFI CC-BY-4.0 xVAPitch/v3 xVASynth model"
 )
+language_radio = gr.Radio(
+	languages,
+	label="Language",
+	info="Will have an English accent as the models were English. Tested only by a native Briton."
+)
 
 gradio_app = gr.Interface(
 	predict,
 	[
 		input_textbox,
 		pacing_slider,
-		voice_radio
+		voice_radio,
+		language_radio
 	],
 	outputs=gr.Audio(label="22kHz audio", type="filepath"),
 	title="xVASynth (WIP)"