Update app.py

app.py

@@ -129,13 +129,6 @@ def tts(
     print(f"Model name: {model_name}")
     print(f"F0: {f0_method}, Key: {f0_up_key}, Index: {index_rate}, Protect: {protect}")
     try:
-        if limitation and len(tts_text) > 280:
-            print("Error: Text too long")
-            return (
-                f"Text characters should be at most 280 in this huggingface space, but got {len(tts_text)} characters.",
-                None,
-                None,
-            )
         t0 = time.time()
         if speed >= 0:
             speed_str = f"+{speed}%"
@@ -217,19 +210,7 @@ rmvpe_model = RMVPE("rmvpe.pt", config.is_half, config.device)
 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!
+# Miku TTS
 """
 
 app = gr.Blocks()
@@ -305,64 +286,5 @@ with app:
             ],
             [info_text, edge_tts_output, tts_output],
         )
-    with gr.Row():
-        examples = gr.Examples(
-            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",
-                ],
-            ],
-            inputs=[tts_text, tts_voice],
-        )
-
 
 app.launch()