Upload app.py

app.py

@@ -0,0 +1,108 @@
+from models import SynthesizerTrn
+from vits_pinyin import VITS_PinYin
+from text import cleaned_text_to_sequence
+from text.symbols import symbols
+import gradio as gr
+import utils
+import torch
+import argparse
+import os
+import re
+import logging
+
+logging.getLogger('numba').setLevel(logging.WARNING)
+limitation = os.getenv("SYSTEM") == "spaces"
+
+
+def create_calback(net_g: SynthesizerTrn, tts_front: VITS_PinYin):
+    def tts_calback(text, dur_scale):
+        if limitation:
+            text_len = len(re.sub("\[([A-Z]{2})\]", "", text))
+            max_len = 150
+            if text_len > max_len:
+                return "Error: Text is too long", None
+
+        phonemes, char_embeds = tts_front.chinese_to_phonemes(text)
+        input_ids = cleaned_text_to_sequence(phonemes)
+        with torch.no_grad():
+            x_tst = torch.LongTensor(input_ids).unsqueeze(0).to(device)
+            x_tst_lengths = torch.LongTensor([len(input_ids)]).to(device)
+            x_tst_prosody = torch.FloatTensor(
+                char_embeds).unsqueeze(0).to(device)
+            audio = net_g.infer(x_tst, x_tst_lengths, x_tst_prosody, noise_scale=0.5,
+                                length_scale=dur_scale)[0][0, 0].data.cpu().float().numpy()
+        del x_tst, x_tst_lengths, x_tst_prosody
+        return "Success", (16000, audio)
+
+    return tts_calback
+
+
+example = [['天空呈现的透心的蓝，像极了当年。总在这样的时候，透过窗棂，心，在天空里无尽的游弋！柔柔的，浓浓的，痴痴的风，牵引起心底灵动的思潮；情愫悠悠，思情绵绵，风里默坐，红尘中的浅醉，诗词中的优柔，任那自在飞花轻似梦的情怀，裁一束霓衣，织就清浅淡薄的安寂。', 1],
+           ['风的影子翻阅过淡蓝色的信笺，柔和的文字浅浅地漫过我安静的眸，一如几朵悠闲的云儿，忽而氤氲成汽，忽而修饰成花，铅华洗尽后的透彻和靓丽，爽爽朗朗，轻轻盈盈', 1],
+           ['时光仿佛有穿越到了从前，在你诗情画意的眼波中，在你舒适浪漫的暇思里，我如风中的思绪徜徉广阔天际，仿佛一片沾染了快乐的羽毛，在云环影绕颤动里浸润着风的呼吸，风的诗韵，那清新的耳语，那婉约的甜蜜，那恬淡的温馨，将一腔情澜染得愈发的缠绵。', 1],]
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--share", action="store_true",
+                        default=False, help="share gradio app")
+    args = parser.parse_args()
+
+    device = torch.device("cpu")
+
+    # pinyin
+    tts_front = VITS_PinYin("./bert", device)
+
+    # config
+    hps = utils.get_hparams_from_file("./configs/bert_vits.json")
+
+    # model
+    net_g = SynthesizerTrn(
+        len(symbols),
+        hps.data.filter_length // 2 + 1,
+        hps.train.segment_size // hps.data.hop_length,
+        **hps.model)
+
+    model_path = "vits_bert_model.pth"
+    utils.load_model(model_path, net_g)
+    net_g.eval()
+    net_g.to(device)
+
+    tts_calback = create_calback(net_g, tts_front)
+
+    app = gr.Blocks()
+    with app:
+        gr.Markdown("# Best TTS based on BERT and VITS with some Natural Speech Features Of Microsoft\n\n"
+                    "code : github.com/PlayVoice/vits_chinese\n\n"
+                    "1, Hidden prosody embedding from BERT，get natural pauses in grammar\n\n"
+                    "2, Infer loss from NaturalSpeech，get less sound error\n\n"
+                    "3, Framework of VITS，get high audio quality\n\n"
+                    "<video id='video' controls='' preload='yes'>\n\n"
+                    "<source id='mp4' src='https://user-images.githubusercontent.com/16432329/220678182-4775dec8-9229-4578-870f-2eebc3a5d660.mp4' type='video/mp4'>\n\n"
+                    "</videos>\n\n"
+                    )
+
+        with gr.Tabs():
+            with gr.TabItem("TTS"):
+                with gr.Row():
+                    with gr.Column():
+                        textbox = gr.TextArea(label="Text",
+                                              placeholder="Type your sentence here (Maximum 150 words)",
+                                              value="中文语音合成", elem_id=f"tts-input")
+                        duration_slider = gr.Slider(minimum=0.1, maximum=5, value=1, step=0.1,
+                                                    label='速度 Speed')
+                    with gr.Column():
+                        text_output = gr.Textbox(label="Message")
+                        audio_output = gr.Audio(
+                            label="Output Audio", elem_id="tts-audio")
+                        btn = gr.Button("Generate!")
+                        btn.click(tts_calback,
+                                  inputs=[textbox, duration_slider],
+                                  outputs=[text_output, audio_output])
+            gr.Examples(
+                examples=example,
+                inputs=[textbox, duration_slider],
+                outputs=[text_output, audio_output],
+                fn=tts_calback
+            )
+    app.queue(concurrency_count=3).launch(show_api=False, share=args.share)