suno-ai / bark

🔊 Text-Prompted Generative Audio Model
MIT License
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Certification Issue #353

Open Shri-0 opened 1 year ago

Shri-0 commented 1 year ago

Hello everyone,

Forgive me, for I am trying to get this to run my sample file for the first time after forking the repo.

Initially I had a slow GPU error that I was trying to resolve. After finding this command line prompt to write (shown below), my connection speed seemed to be a lot faster

wget -c https://dl.suno-models.io/bark/models/v0/text_2.pt -O ~/.cache/suno/bark_v0/54afa89d65e318d4f5f80e8e8799026a.pt

However, after trying to run the demo python file that is shown on the front page, I am getting this error:

Screenshot 2023-06-12 at 8 59 13 AM

Is there anyway I can bypass this in order to get the sample main.py file running? For reference, my main file looks like this:

Screenshot 2023-06-12 at 9 00 41 AM

Seriously appreciate anyone that can help me get this running. Thanks in advance!!

Shri-0 commented 1 year ago

Update:

I manually opened the install certification file on my Mac by finding it in the file directory and running it. This seemed to work.

The file I ended up getting was the default one in the form of a WAV file. "Hello my name is Suno etc.."

However, the file itself sounds grainy, as I can hear some of the audio artifacts in the generated file (also sounds very slowed down and warped compared to the one shown in the front page). Is there a workaround that can generate a cleaner and more natural version? I will continue to run tests with other scenarios

derbryler commented 1 year ago

You can give it a speaker in the audio array.

    audio_array = generate_audio(text_prompt, history_prompt="v2/en_speaker_6")''

You get way better audio that way. But the voice will always the same depending on which speaker you took. They are also not of the same quality.

niuroumiantt commented 2 months ago

the same issue here , could you pls help tell where is the certificate locate in the MAC ?

I manually opened the install certification file on my Mac by finding it in the file directory and running it. This seemed to work.