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Running
on
Zero
A newer version of the Gradio SDK is available:
5.6.0
metadata
title: MP-SENet
short_description: MP-SENet is a speech enhancement model.
emoji: π
colorFrom: green
colorTo: green
sdk: gradio
sdk_version: 5.4.0
app_file: app.py
pinned: false
license: mit
fullWidth: true
MP-SENet Gradio App
A Gradio app for MP-SENet with ZeroGPU support.
Most of the code and the model weights are from the original repository (MIT licensed), with some modifications to make it work with Gradio and ZeroGPU and handle longer audio files.
API Usage
You can also use the model through the Gradio API. Here's an example:
from gradio_client import Client, handle_file
client = Client("JacobLinCool/MP-SENet")
task_id, _ = client.predict(
input=handle_file("path/to/audio.wav"),
plot=False,
api_name="/preprocess",
)
output, _, _, _ = client.predict(task_id=task_id, api_name="/run")
print(output) # The path to the output file
The default /run
endpoint will try to acquire GPU for 60 seconds. It should be sufficient for audio files up to 20 minutes.
If you are working with audio files longer than 20 minutes, you can use the /run2x
or /run4x
endpoints, which will try to acquire GPU for 120 and 240 seconds respectively.