Update app.py

app.py

@@ -173,6 +173,8 @@ with gr.Blocks() as app_tts:
             label="Reference Text",
             info="Leave blank to automatically transcribe the reference audio. If you enter text it will override automatic transcription.",
             lines=2,
+            visible=False,
+            value=Path("./sample.txt").read_text()
         )
         remove_silence = gr.Checkbox(
             label="Remove Silences",
@@ -183,7 +185,7 @@ with gr.Blocks() as app_tts:
             label="Speed",
             minimum=0.3,
             maximum=2.0,
-            value=1.0,
+            value=0.8,
             step=0.1,
             info="Adjust the speed of the audio.",
         )
@@ -738,9 +740,9 @@ This is a North Sámi implementation of [F5-TTS](https://arxiv.org/abs/2410.0688
 
 If you're having issues, try converting your reference audio to WAV or MP3, clipping it to 15s with  ✂  in the bottom right corner (otherwise might have non-optimal auto-trimmed result).
 
-**NOTE: Reference text will be automatically transcribed with [Whisper North Sámi](https://huggingface.co/NbAiLab/whisper-large-sme) if not provided. For best results, keep your reference clips short (<15s). Ensure the audio is fully uploaded before generating.**
 """
     )
+#**NOTE: Reference text will be automatically transcribed with [Whisper North Sámi](https://huggingface.co/NbAiLab/whisper-large-sme) if not provided. For best results, keep your reference clips short (<15s). Ensure the audio is fully uploaded before generating.**
 
     last_used_custom = files("f5_tts").joinpath("infer/.cache/last_used_custom.txt")