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Update app.py

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  1. app.py +2 -1
app.py CHANGED
@@ -745,10 +745,11 @@ with gr.Blocks() as app:
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  This is a North Sámi implementation of [F5-TTS](https://arxiv.org/abs/2410.06885) based on [mrfakename/E2-F5-TTS](https://huggingface.co/spaces/mrfakename/E2-F5-TTS/).
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- 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).
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  """
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  )
 
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  #**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.**
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  last_used_custom = files("f5_tts").joinpath("infer/.cache/last_used_custom.txt")
 
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  This is a North Sámi implementation of [F5-TTS](https://arxiv.org/abs/2410.06885) based on [mrfakename/E2-F5-TTS](https://huggingface.co/spaces/mrfakename/E2-F5-TTS/).
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+ If you are having issues, try shortening the text to be synthesized, as this demo migth not be able to produced intelligible results beyond ~15 seconds.
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  """
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  )
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+ # 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).
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  #**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.**
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  last_used_custom = files("f5_tts").joinpath("infer/.cache/last_used_custom.txt")