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Update app.py
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app.py
CHANGED
@@ -16,6 +16,8 @@ import MIDI
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from midi_synthesizer import synthesis
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from midi_tokenizer import MIDITokenizer
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def softmax(x, axis):
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x_max = np.amax(x, axis=axis, keepdims=True)
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exp_x_shifted = np.exp(x - x_max)
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@@ -58,7 +60,7 @@ def generate(prompt=None, max_len=512, temp=1.0, top_p=0.98, top_k=20,
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input_tensor = prompt
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input_tensor = input_tensor[None, :, :]
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cur_len = input_tensor.shape[1]
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bar = tqdm.tqdm(desc="generating", total=max_len - cur_len)
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with bar:
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while cur_len < max_len:
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end = False
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@@ -204,7 +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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from midi_synthesizer import synthesis
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from midi_tokenizer import MIDITokenizer
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in_space = os.getenv("SYSTEM") == "spaces"
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def softmax(x, axis):
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x_max = np.amax(x, axis=axis, keepdims=True)
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exp_x_shifted = np.exp(x - x_max)
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input_tensor = prompt
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input_tensor = input_tensor[None, :, :]
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cur_len = input_tensor.shape[1]
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bar = tqdm.tqdm(desc="generating", total=max_len - cur_len, disable=in_space)
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with bar:
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while cur_len < max_len:
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end = False
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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=512, 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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