update

app.py

@@ -219,17 +219,12 @@ print("rmvpe model loaded.")
 initial_md = """
 # RVC text-to-speech demo
 
-This is a text-to-speech demo of RVC moe models of [rvc_okiba](https://huggingface.co/litagin/rvc_okiba) using [edge-tts](https://github.com/rany2/edge-tts).
-
 Input text ➡[(edge-tts)](https://github.com/rany2/edge-tts)➡ Speech mp3 file ➡[(RVC)](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)➡ Final output
 
 This runs on the 🤗 server's cpu, so it may be slow.
 
-Although the models are trained on Japanese voices and intended for Japanese text, they can also be used with other languages with the corresponding edge-tts speaker (but possibly with a Japanese accent).
-
 Input characters are limited to 280 characters, and the speech audio is limited to 20 seconds in this 🤗 space.
 
-[Visit this GitHub repo](https://github.com/litagin02/rvc-tts-webui) for running locally with your models and GPU!
 """
 
 app = gr.Blocks()
@@ -238,7 +233,7 @@ with app:
     with gr.Row():
         with gr.Column():
             model_name = gr.Dropdown(
-                label="Model (all models except man-_ are girl models)",
+                label="Model",
                 choices=models,
                 value=models[0],
             )
@@ -257,7 +252,7 @@ with app:
                 minimum=0,
                 maximum=1,
                 label="Index rate",
-                value=1,
+                value=0.5,
                 interactive=True,
             )
             protect0 = gr.Slider(
@@ -310,56 +305,8 @@ with app:
             examples_per_page=100,
             examples=[
                 ["これは日本語テキストから音声への変換デモです。", "ja-JP-NanamiNeural-Female"],
-                [
-                    "This is an English text to speech conversation demo.",
-                    "en-US-AriaNeural-Female",
-                ],
-                ["这是一个中文文本到语音的转换演示。", "zh-CN-XiaoxiaoNeural-Female"],
-                ["한국어 텍스트에서 음성으로 변환하는 데모입니다.", "ko-KR-SunHiNeural-Female"],
-                [
-                    "Il s'agit d'une démo de conversion du texte français à la parole.",
-                    "fr-FR-DeniseNeural-Female",
-                ],
-                [
-                    "Dies ist eine Demo zur Umwandlung von Deutsch in Sprache.",
-                    "de-DE-AmalaNeural-Female",
-                ],
-                [
-                    "Tämä on suomenkielinen tekstistä puheeksi -esittely.",
-                    "fi-FI-NooraNeural-Female",
-                ],
-                [
-                    "Это демонстрационный пример преобразования русского текста в речь.",
-                    "ru-RU-SvetlanaNeural-Female",
-                ],
-                [
-                    "Αυτή είναι μια επίδειξη μετατροπής ελληνικού κειμένου σε ομιλία.",
-                    "el-GR-AthinaNeural-Female",
-                ],
-                [
-                    "Esta es una demostración de conversión de texto a voz en español.",
-                    "es-ES-ElviraNeural-Female",
-                ],
-                [
-                    "Questa è una dimostrazione di sintesi vocale in italiano.",
-                    "it-IT-ElsaNeural-Female",
-                ],
-                [
-                    "Esta é uma demonstração de conversão de texto em fala em português.",
-                    "pt-PT-RaquelNeural-Female",
-                ],
-                [
-                    "Це демонстрація тексту до мовлення українською мовою.",
-                    "uk-UA-PolinaNeural-Female",
-                ],
-                [
-                    "هذا عرض توضيحي عربي لتحويل النص إلى كلام.",
-                    "ar-EG-SalmaNeural-Female",
-                ],
-                [
-                    "இது தமிழ் உரையிலிருந்து பேச்சு மாற்ற டெமோ.",
-                    "ta-IN-PallaviNeural-Female",
-                ],
+                ["This is an English text to speech conversation demo.", "en-GB-MaisieNeural-Female"],
+                ["Ini adalah teks percobaan menggunakan Bahasa Indonesia", "id-ID-GadisNeural-Female"],
             ],
             inputs=[tts_text, tts_voice],
         )