import importlib import re import gradio as gr import yaml from gradio.components import Textbox, Dropdown from inference.m4singer.base_svs_infer import BaseSVSInfer from utils.hparams import set_hparams from utils.hparams import hparams as hp import numpy as np from inference.m4singer.gradio.share_btn import community_icon_html, loading_icon_html, share_js class GradioInfer: def __init__(self, exp_name, inference_cls, title, description, article, example_inputs): self.exp_name = exp_name self.title = title self.description = description self.article = article self.example_inputs = example_inputs pkg = ".".join(inference_cls.split(".")[:-1]) cls_name = inference_cls.split(".")[-1] self.inference_cls = getattr(importlib.import_module(pkg), cls_name) def greet(self, singer, text, notes, notes_duration): PUNCS = '。?;:' sents = re.split(rf'([{PUNCS}])', text.replace('\n', ',')) sents_notes = re.split(rf'([{PUNCS}])', notes.replace('\n', ',')) sents_notes_dur = re.split(rf'([{PUNCS}])', notes_duration.replace('\n', ',')) if sents[-1] not in list(PUNCS): sents = sents + [''] sents_notes = sents_notes + [''] sents_notes_dur = sents_notes_dur + [''] audio_outs = [] s, n, n_dur = "", "", "" for i in range(0, len(sents), 2): if len(sents[i]) > 0: s += sents[i] + sents[i + 1] n += sents_notes[i] + sents_notes[i+1] n_dur += sents_notes_dur[i] + sents_notes_dur[i+1] if len(s) >= 400 or (i >= len(sents) - 2 and len(s) > 0): audio_out = self.infer_ins.infer_once({ 'spk_name': singer, 'text': s, 'notes': n, 'notes_duration': n_dur, }) audio_out = audio_out * 32767 audio_out = audio_out.astype(np.int16) audio_outs.append(audio_out) audio_outs.append(np.zeros(int(hp['audio_sample_rate'] * 0.3)).astype(np.int16)) s = "" n = "" audio_outs = np.concatenate(audio_outs) return (hp['audio_sample_rate'], audio_outs), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True) def run(self): set_hparams(config=f'checkpoints/{self.exp_name}/config.yaml', exp_name=self.exp_name, print_hparams=False) infer_cls = self.inference_cls self.infer_ins: BaseSVSInfer = infer_cls(hp) example_inputs = self.example_inputs for i in range(len(example_inputs)): singer, text, notes, notes_dur = example_inputs[i].split('') example_inputs[i] = [singer, text, notes, notes_dur] singerList = \ [ 'Tenor-1', 'Tenor-2', 'Tenor-3', 'Tenor-4', 'Tenor-5', 'Tenor-6', 'Tenor-7', 'Alto-1', 'Alto-2', 'Alto-3', 'Alto-4', 'Alto-5', 'Alto-6', 'Alto-7', 'Soprano-1', 'Soprano-2', 'Soprano-3', 'Bass-1', 'Bass-2', 'Bass-3', ] css = """ #share-btn-container { display: flex; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem; } #share-btn { all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important;right:0; } #share-btn * { all: unset; } #share-btn-container div:nth-child(-n+2){ width: auto !important; min-height: 0px !important; } #share-btn-container .wrap { display: none !important; } """ with gr.Blocks(css=css) as demo: gr.HTML("""

M4Singer

""" ) gr.Markdown(self.description) with gr.Row(): with gr.Column(): singer_l = Dropdown(choices=singerList, value=example_inputs[0][0], label="SingerID", elem_id="inp_singer") inp_text = Textbox(lines=2, placeholder=None, value=example_inputs[0][1], label="input text", elem_id="inp_text") inp_note = Textbox(lines=2, placeholder=None, value=example_inputs[0][2], label="input note", elem_id="inp_note") inp_duration = Textbox(lines=2, placeholder=None, value=example_inputs[0][3], label="input duration", elem_id="inp_duration") generate = gr.Button("Generate Singing Voice from Musical Score") with gr.Column(): singing_output = gr.Audio(label="Result", type="numpy", elem_id="music-output") with gr.Group(elem_id="share-btn-container"): community_icon = gr.HTML(community_icon_html, visible=False) loading_icon = gr.HTML(loading_icon_html, visible=False) share_button = gr.Button("滔滔AI,为爱滔滔💕", elem_id="share-btn", visible=False) #gr.Examples(examples=self.example_inputs, # inputs=[singer_l, inp_text, inp_note, inp_duration], # outputs=[singing_output, share_button, community_icon, loading_icon], # fn=self.greet, # cache_examples=True) gr.Markdown(self.article) generate.click(self.greet, inputs=[singer_l, inp_text, inp_note, inp_duration], outputs=[singing_output, share_button, community_icon, loading_icon],) demo.queue().launch(show_error=True) if __name__ == '__main__': gradio_config = yaml.safe_load(open('inference/m4singer/gradio/gradio_settings.yaml')) g = GradioInfer(**gradio_config) g.run()