Update README.md
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README.md
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@@ -36,7 +36,6 @@ audio = tango.generate(prompt)
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sf.write(f"{prompt}.wav", audio, samplerate=16000)
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IPython.display.Audio(data=audio, rate=16000)
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```
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[An audience cheering and clapping.webm](https://user-images.githubusercontent.com/13917097/233851915-e702524d-cd35-43f7-93e0-86ea579231a7.webm)
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The model will be automatically downloaded and saved in cache. Subsequent runs will load the model directly from cache.
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@@ -47,9 +46,7 @@ prompt = "Rolling thunder with lightning strikes"
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audio = tango.generate(prompt, steps=200)
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IPython.display.Audio(data=audio, rate=16000)
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```
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[Rolling thunder with lightning strikes.webm](https://user-images.githubusercontent.com/13917097/233851929-90501e41-911d-453f-a00b-b215743365b4.webm)
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<!-- [MachineClicking](https://user-images.githubusercontent.com/25340239/233857834-bfda52b4-4fcc-48de-b47a-6a6ddcb3671b.mp4 "sample 1") -->
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Use the `generate_for_batch` function to generate multiple audio samples for a batch of text prompts:
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sf.write(f"{prompt}.wav", audio, samplerate=16000)
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IPython.display.Audio(data=audio, rate=16000)
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```
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The model will be automatically downloaded and saved in cache. Subsequent runs will load the model directly from cache.
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audio = tango.generate(prompt, steps=200)
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IPython.display.Audio(data=audio, rate=16000)
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```
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Use the `generate_for_batch` function to generate multiple audio samples for a batch of text prompts:
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