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SeptAlfauzan
add: model from training with hyper parameter epoch=120, batch=32 for SCB dataset and my own custom dataset
713f67e | 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() | |