Update README.md
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README.md
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@@ -71,7 +71,7 @@ synthesiser = pipeline("text-to-audio", "facebook/musicgen-medium")
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music = synthesiser("lo-fi music with a soothing melody", forward_params={"do_sample": True})
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scipy.io.wavfile.write("musicgen_out.wav", rate=music["sampling_rate"], music
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```
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3. Run inference via the Transformers modelling code. You can use the processor + generate code to convert text into a mono 32 kHz audio waveform for more fine-grained control.
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@@ -122,7 +122,7 @@ pip install git+https://github.com/facebookresearch/audiocraft.git
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2. Make sure to have [`ffmpeg`](https://ffmpeg.org/download.html) installed:
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```
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apt
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```
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3. Run the following Python code:
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music = synthesiser("lo-fi music with a soothing melody", forward_params={"do_sample": True})
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scipy.io.wavfile.write("musicgen_out.wav", rate=music["sampling_rate"], data=music["audio"])
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```
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3. Run inference via the Transformers modelling code. You can use the processor + generate code to convert text into a mono 32 kHz audio waveform for more fine-grained control.
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2. Make sure to have [`ffmpeg`](https://ffmpeg.org/download.html) installed:
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```
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apt-get install ffmpeg
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```
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3. Run the following Python code:
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