student-behavior / stream.py
SeptAlfauzan
add: model from training with hyper parameter epoch=120, batch=32 for SCB dataset and my own custom dataset
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import gradio as gr
from pydub import AudioSegment
from time import sleep
with gr.Blocks() as demo:
input_audio = gr.Audio(label="Input Audio", type="filepath", format="mp3")
with gr.Row():
with gr.Column():
stream_as_file_btn = gr.Button("Stream as File")
format = gr.Radio(["wav", "mp3"], value="wav", label="Format")
stream_as_file_output = gr.Audio(streaming=True)
def stream_file(audio_file, format):
audio = AudioSegment.from_file(audio_file)
i = 0
chunk_size = 1000
while chunk_size * i < len(audio):
chunk = audio[chunk_size * i : chunk_size * (i + 1)]
i += 1
if chunk:
file = f"/tmp/{i}.{format}"
chunk.export(file, format=format)
yield file
sleep(0.5)
stream_as_file_btn.click(
stream_file, [input_audio, format], stream_as_file_output
)
gr.Examples(
[["audio/cantina.wav", "wav"], ["audio/cantina.wav", "mp3"]],
[input_audio, format],
fn=stream_file,
outputs=stream_as_file_output,
)
with gr.Column():
stream_as_bytes_btn = gr.Button("Stream as Bytes")
stream_as_bytes_output = gr.Audio(format="bytes", streaming=True)
def stream_bytes(audio_file):
chunk_size = 20_000
with open(audio_file, "rb") as f:
while True:
chunk = f.read(chunk_size)
if chunk:
yield chunk
sleep(1)
else:
break
stream_as_bytes_btn.click(stream_bytes, input_audio, stream_as_bytes_output)
if __name__ == "__main__":
demo.queue().launch()