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First of all, thank you for creating this amazing library! I’ve been using podcastfy to generate podcasts, and it works great. However, I noticed that the generation process can be quite slow for longer transcripts, and I was wondering if there’s a way to leverage GPU acceleration to speed things up.
Questions:
Does podcastfy support GPU acceleration for faster generation? If yes, how can I enable it?
If GPU support is not currently available, are there any plans to add it in the future?
Are there any specific dependencies (e.g., CUDA, cuDNN) or configurations required to use the library with a GPU?
Any guidance or suggestions would be greatly appreciated. Thank you in advance for your help!
The text was updated successfully, but these errors were encountered:
Hi, thanks for the question.
Short answer: No.
By default, we use Gemini's model. Hence, our latency is their latency,
mostly.
You can alternatively use local LLMs. In that case, yes, it's feasible to
use local GPU hardware acceleration. However, this is not
currently supported though implementation is feasible.
Best Regards,
On Mon, Jan 20, 2025 at 4:03 PM Hasnain1997-ai ***@***.***> wrote:
Hi there!
First of all, thank you for creating this amazing library! I’ve been using
podcastfy to generate podcasts, and it works great. However, I noticed that
the generation process can be quite slow for longer transcripts, and I was
wondering if there’s a way to leverage GPU acceleration to speed things up.
Here’s the code I’m currently using:
from podcastfy.client import generate_podcast
audio_file = generate_podcast(
transcript_file="./main_app/Transcript.txt",
is_local=True,
longform=True
)
Questions:
Does podcastfy support GPU acceleration for faster generation? If yes, how
can I enable it?
If GPU support is not currently available, are there any plans to add it
in the future?
Are there any specific dependencies (e.g., CUDA, cuDNN) or configurations
required to use the library with a GPU?
Any guidance or suggestions would be greatly appreciated. Thank you in
advance for your help!
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Hi there!
First of all, thank you for creating this amazing library! I’ve been using podcastfy to generate podcasts, and it works great. However, I noticed that the generation process can be quite slow for longer transcripts, and I was wondering if there’s a way to leverage GPU acceleration to speed things up.
Here’s the code I’m currently using:
Questions:
Does podcastfy support GPU acceleration for faster generation? If yes, how can I enable it?
If GPU support is not currently available, are there any plans to add it in the future?
Are there any specific dependencies (e.g., CUDA, cuDNN) or configurations required to use the library with a GPU?
Any guidance or suggestions would be greatly appreciated. Thank you in advance for your help!
The text was updated successfully, but these errors were encountered: