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This code provides a Gradio interface for generating audio from text input using the Bark TTS and Tortoise TTS models. The interface takes a text prompt as input and generates audio as output.

https://rsxdalv.github.io/bark-speaker-directory/ (https://github.com/rsxdalv/bark-speaker-directory)

This code requires the following dependencies:

• bark in models/bark directory from https://github.com/suno-ai/bark
• scipy
• gradio

June 18:

• Update to newest audiocraft, add longer generations

...

June 5:

• Fix "Save to Favorites" button on bark generation page, clean up console (v4.1.1)
• Add "Collections" tab for managing several different data sets and easier curration.

June 4:

• Update to v4.1 - improved hash function, code improvements

June 3:

• Update to v4 - new output structure, improved history view, codebase reorganization, improved metadata, output extensions support

May __:

• Update to v3 - voice clone demo

May 17:

• Update to v2 - generate results as they appear, preview long prompt generations piece by piece, enable up to 9 outputs, UI tweaks

May 16:

• Add gradio settings tab, fix gradio errors in console, improve logging.
• Update History and Favorites with "use as voice" and "save voice" buttons
• Add voices tab
• Bark tab: Remove "or Use last generation as history"
• Improve code organization

May 13:

• Enable deterministic generation and enhance generated logs. Credits to suno-ai/bark#175.

May 10:

• Enable the possibility of reusing history prompts from older generations. Save generations as npz files. Add a convenient method of reusing any of the last 3 generations for the next prompts. Add a button for saving and collecting history prompts under /voices. rsxdalv#10

May 4:

• Long form generation (credits to https://github.com/suno-ai/bark/blob/main/notebooks/long_form_generation.ipynb and suno-ai/bark#161)
• Adapt to fixed env var bug

May 3:

• Improved Tortoise UI: Voice, Preset and CVVP settings as well as ability to generate 3 results (rsxdalv#6)

May 2 Update 2:

• Added support for history recylcing to continue longer prompts manually

May 2 Update 1:

• Added support for v2 prompts

Before:

• Added support for Tortoise TTS

git clone https://github.com/rsxdalv/bark.git

This project utilizes the following open source libraries:

• suno-ai/bark - MIT License

  • Description: A powerful library for XYZ.
  • Repository: suno/bark

• tortoise-tts - Apache-2.0 License

  • Description: A flexible text-to-speech synthesis library for various platforms.
  • Repository: neonbjb/tortoise-tts

• ffmpeg - LGPL License

  • Description: A complete and cross-platform solution for video and audio processing.
  • Repository: FFmpeg
  • Use: Encoding Vorbis Ogg files

• ffmpeg-python - Apache 2.0 License

  • Description: Python bindings for FFmpeg library for handling multimedia files.
  • Repository: kkroening/ffmpeg-python

• audiocraft - MIT License

  • Description: A library for audio generation and MusicGen.
  • Repository: facebookresearch/audiocraft

• vocos - MIT License

  • Description: An improved decoder for encodec samples
  • Repository: charactr-platform/vocos