update

app.py

@@ -13,6 +13,7 @@ else:
 #device = 'cuda' if torch.cuda.is_available() else 'cpu'
 
 languages = ["EN", "ES", "FR", "ZH", "JP", "KR"]
+en = ["EN-Default", "EN-US", "EN-BR", "EN_INDIA", "EN-AU"]
 
 #model = TTS(language='EN', device=device)
 def synthesize(language, speaker, text, speed=1.0, progress=gr.Progress()):
@@ -24,14 +25,14 @@ def synthesize(language, speaker, text, speed=1.0, progress=gr.Progress()):
 
 def lang(language):
     if language == "EN":
-        return gr.update(choices=["EN-Default", "EN-US", "EN-BR", "EN_INDIA", "EN-AU"]
+        return gr.update(choices=en, value="EN-Default")
     else:
-        return gr.update(choices=[language])
+        return gr.update(choices=[language], value=language)
 with gr.Blocks() as demo:
     gr.Markdown('# MeloTTS\n\nAn unofficial demo of [MeloTTS](https://github.com/myshell-ai/MeloTTS) from MyShell AI. MeloTTS is a permissively licensed (MIT) SOTA multi-speaker TTS model.\n\nI am not affiliated with MyShell AI in any way.\n\nThis demo currently only supports English, but the model itself supports other languages.')
     with gr.Group():
         language = gr.Dropdown(languages, interactive=True, value='EN', label='Language')
-        speaker = gr.Dropdown(speaker_ids.keys(), interactive=True, value='EN-Default', label='Speaker')
+        speaker = gr.Dropdown(en, interactive=True, value='EN-Default', label='Speaker')
         speed = gr.Slider(label='Speed', minimum=0.1, maximum=10.0, value=1.0, interactive=True, step=0.1)
         text = gr.Textbox(label="Text to speak", value='The field of text to speech has seen rapid development recently')
     language.change(fn=lang, inputs=[language], outputs=[speaker])

requirements.txt

@@ -4,7 +4,8 @@ tqdm
 transformers==4.27.4
 mecab-python3==1.0.5
 num2words==0.5.12
-unidic_lite==1.0.8
+#unidic_lite==1.0.8
+unidic-lite
 unidic==1.1.0
 mecab-python3==1.0.5
 pykakasi==2.2.1