Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -206,7 +206,7 @@ if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("--share", action="store_true", default=False, help="share gradio app")
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parser.add_argument("--port", type=int, default=7860, help="gradio server port")
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parser.add_argument("--max-gen", type=int, default=
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opt = parser.parse_args()
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soundfont_path = hf_hub_download(repo_id="skytnt/midi-model", filename="soundfont.sf2")
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model_base_path = hf_hub_download(repo_id="skytnt/midi-model", filename="onnx/model_base.onnx")
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@@ -257,17 +257,17 @@ if __name__ == "__main__":
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tab1.select(lambda: 0, None, tab_select, queue=False)
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tab2.select(lambda: 1, None, tab_select, queue=False)
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input_gen_events = gr.Slider(label="generate n midi events", minimum=1, maximum=opt.max_gen,
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step=1, value=opt.max_gen)
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input_temp = gr.Slider(label="temperature", minimum=0.1, maximum=1.2, step=0.01, value=1)
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input_top_p = gr.Slider(label="top p", minimum=0.1, maximum=1, step=0.01, value=0.98)
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input_top_k = gr.Slider(label="top k", minimum=1, maximum=50, step=1, value=20)
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input_allow_cc = gr.Checkbox(label="allow midi cc event", value=True)
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run_btn = gr.Button("generate", variant="primary")
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stop_btn = gr.Button("stop")
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output_midi_seq = gr.Variable()
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output_midi_img = gr.Image(label="output image")
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output_midi = gr.File(label="output midi", file_types=[".mid"])
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output_audio = gr.Audio(label="output audio", format="
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run_event = run_btn.click(run, [tab_select, input_instruments, input_drum_kit, input_midi, input_midi_events,
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input_gen_events, input_temp, input_top_p, input_top_k,
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input_allow_cc],
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parser = argparse.ArgumentParser()
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parser.add_argument("--share", action="store_true", default=False, help="share gradio app")
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parser.add_argument("--port", type=int, default=7860, help="gradio server port")
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parser.add_argument("--max-gen", type=int, default=1024, help="max")
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opt = parser.parse_args()
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soundfont_path = hf_hub_download(repo_id="skytnt/midi-model", filename="soundfont.sf2")
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model_base_path = hf_hub_download(repo_id="skytnt/midi-model", filename="onnx/model_base.onnx")
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tab1.select(lambda: 0, None, tab_select, queue=False)
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tab2.select(lambda: 1, None, tab_select, queue=False)
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input_gen_events = gr.Slider(label="generate n midi events", minimum=1, maximum=opt.max_gen,
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step=1, value=opt.max_gen // 2)
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input_temp = gr.Slider(label="temperature", minimum=0.1, maximum=1.2, step=0.01, value=1)
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input_top_p = gr.Slider(label="top p", minimum=0.1, maximum=1, step=0.01, value=0.98)
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input_top_k = gr.Slider(label="top k", minimum=1, maximum=50, step=1, value=20)
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input_allow_cc = gr.Checkbox(label="allow midi cc event", value=True)
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run_btn = gr.Button("generate", variant="primary")
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stop_btn = gr.Button("stop and output")
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output_midi_seq = gr.Variable()
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output_midi_img = gr.Image(label="output image")
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output_midi = gr.File(label="output midi", file_types=[".mid"])
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output_audio = gr.Audio(label="output audio", format="mp3")
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run_event = run_btn.click(run, [tab_select, input_instruments, input_drum_kit, input_midi, input_midi_events,
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input_gen_events, input_temp, input_top_p, input_top_k,
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input_allow_cc],
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