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1 Parent(s): 01f2524

Rewrote the welcome message, added footer

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  1. app.py +17 -14
app.py CHANGED
@@ -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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- To use it locally:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  pip install -U WhisperSpeech
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  ```
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- and later:
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  ```
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  from whisperspeech.pipeline import Pipeline
@@ -28,18 +42,6 @@ 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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- [Contribute to WhisperSpeech on ![Static Badge](https://img.shields.io/badge/GitHub-blue)](https://github.com/collabora/WhisperSpeech)
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- or join discussion on [![](https://dcbadge.vercel.app/api/server/FANw4rHD5E)](https://discord.gg/FANw4rHD5E) or on
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- [![Static Badge](https://img.shields.io/badge/GitHub-Discussions-green)](https://github.com/collabora/WhisperSpeech/discussions).
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-
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- Huge thanks to [Tonic](https://huggingface.co/Tonic) who helped build this Space for WhisperSpeech.
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-
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- ### How to Use It
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-
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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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@@ -119,6 +121,7 @@ with gr.Blocks() as demo:
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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://dcbadge.vercel.app/api/server/FANw4rHD5E)](https://discord.gg/FANw4rHD5E)
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+
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+ Huge thanks to [Tonic](https://huggingface.co/Tonic) who helped build this Space for WhisperSpeech.
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+
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+ ### How to Use It
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+
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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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+
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+ footer = """
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+
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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")