Vaibhav Srivastav
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README.md
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thumbnail: https://user-images.githubusercontent.com/5068315/230698495-cbb1ced9-c911-4c9a-941d-a1a4a1286ac6.png
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library: "bark"
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license: "
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---
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# Bark
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The following is additional information about the models released here.
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## Model Details
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Bark is a series of three transformer models that turn text into audio.
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thumbnail: https://user-images.githubusercontent.com/5068315/230698495-cbb1ced9-c911-4c9a-941d-a1a4a1286ac6.png
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library: "bark"
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license: "cc-by-nc-4.0"
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---
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# Bark
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The following is additional information about the models released here.
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## Model Usage
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```python
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from bark import SAMPLE_RATE, generate_audio, preload_models
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from IPython.display import Audio
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# download and load all models
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preload_models()
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# generate audio from text
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text_prompt = """
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Hello, my name is Suno. And, uh — and I like pizza. [laughs]
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But I also have other interests such as playing tic tac toe.
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"""
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audio_array = generate_audio(text_prompt)
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# play text in notebook
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Audio(audio_array, rate=SAMPLE_RATE)
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```
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[pizza.webm](https://user-images.githubusercontent.com/5068315/230490503-417e688d-5115-4eee-9550-b46a2b465ee3.webm)
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To save `audio_array` as a WAV file:
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```python
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from scipy.io.wavfile import write as write_wav
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write_wav("/path/to/audio.wav", SAMPLE_RATE, audio_array)
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```
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## Model Details
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Bark is a series of three transformer models that turn text into audio.
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