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Runtime error
Runtime error
Rewrote the welcome message, added footer
Browse files
app.py
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@@ -14,13 +14,27 @@ WhisperSpeech is an Open Source text-to-speech system built by Collabora and LAI
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The model is fully open and you can run it on your local hardware. It's like **Stable Diffusion but for speech**
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– both powerful and easily customizable.
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```
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pip install -U WhisperSpeech
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```
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```
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from whisperspeech.pipeline import Pipeline
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pipe = Pipeline(torch_compile=True)
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pipe.generate_to_file("output.wav", "Hello from WhisperSpeech.")
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```
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[Contribute to WhisperSpeech on ](https://github.com/collabora/WhisperSpeech)
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or join discussion on [](https://discord.gg/FANw4rHD5E) or on
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[](https://github.com/collabora/WhisperSpeech/discussions).
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Huge thanks to [Tonic](https://huggingface.co/Tonic) who helped build this Space for WhisperSpeech.
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### How to Use It
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Write you text in the box, you can use language tags (`<en>` or `<pl>`) to create multilingual speech.
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Optionally you can upload a speech sample or give it a file URL to clone an existing voice. Check out the
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examples at the bottom of the page for inspiration.
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"""
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generate_button.click(whisper_speech_demo, inputs=[text_input, speaker_input, url_input, cps], outputs=output_audio)
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pipe = Pipeline(torch_compile=True)
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pipe.generate("WhisperSpeech warmup")
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The model is fully open and you can run it on your local hardware. It's like **Stable Diffusion but for speech**
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– both powerful and easily customizable.
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[You can contribute to WhisperSpeech on Github.](https://github.com/collabora/WhisperSpeech)
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You can also join the discussion on Discord [](https://discord.gg/FANw4rHD5E)
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Huge thanks to [Tonic](https://huggingface.co/Tonic) who helped build this Space for WhisperSpeech.
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### How to Use It
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Write you text in the box, you can use language tags (`<en>` or `<pl>`) to create multilingual speech.
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Optionally you can upload a speech sample or give it a file URL to clone an existing voice. Check out the
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examples at the bottom of the page for inspiration.
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"""
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footer = """
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### How to use it locally
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```
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pip install -U WhisperSpeech
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```
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Afterwards:
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```
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from whisperspeech.pipeline import Pipeline
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pipe = Pipeline(torch_compile=True)
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pipe.generate_to_file("output.wav", "Hello from WhisperSpeech.")
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```
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"""
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)
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generate_button.click(whisper_speech_demo, inputs=[text_input, speaker_input, url_input, cps], outputs=output_audio)
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gr.Markdown(footer)
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pipe = Pipeline(torch_compile=True)
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pipe.generate("WhisperSpeech warmup")
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