Dev 2.3. (#242)

* Fix inputs of duration discriminator

* Add LSTM

* Update models.py

* Update tensorboard scalar

* Noise injection for minimizing modality gap

* Update infer.py

* support bf16 run

* del unused_para flag

* support bf16 config

* add grad clip

* fix(logger and grad):add dur grad,fix grad clip

* Update webui_preprocess.py

* Fix English G2P

* fix(bert_gen):add pass

* Pass SDP to DD

* Update webui_preprocess.py

* Update config.json

* Update webui.py

* Update chinese_bert.py

* Upload webui for deploy

* Update webui.py

* torch.save as pt not npy

* Update config.json

* add freeze emo vq

* Update webui_preprocess.py

* Fix tone_sandhi.py

* Comment up grad clip

* Fix in-place addition

* Add SLM discriminator

* Add DDP for WD

* Feat: Style text: make emotions and style similar to the style text by mixing bert (#240) (#241)

* fix:(oldVersion210) Load on demand Emotion model

* feat: update fastapi.py. 添加更多错误日志信息

* Switch pyopenjtalk to pyopenjtalk-prebuilt

* fix: update fastapi.py. 2.2 reference适配

* Update resample.py

* 修复Onnx导出的BUG (#237)

* Add files via upload

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Add files via upload

* Add files via upload

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Delete attentions_onnx.py

* Delete models_onnx.py

* Add files via upload

* Add files via upload

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Update __init__.py

* Update __init__.py

* Update __init__.py

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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---------



* Fix onnx

* Format export

* Feat: style-text and bert mixing (JA only)

* Ensure the same tensor shape

* Update

* update gradio version

* Fix

* Style text for chinese and english (ver 2.2)

* Style text for chinese and english (ver 2.1)

* Style text in FastAPI

* Translate style text desc in chinese

---------

Co-authored-by: litagin02 <139731664+litagin02@users.noreply.github.com>
Co-authored-by: Sora <654163754@qq.com>
Co-authored-by: Sihan Wang <wangsihan1995@gmail.com>
Co-authored-by: Ναρουσέ·μ·γιουμεμί·Χινακάννα <40709280+NaruseMioShirakana@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* Remove CLAP

* Revert "Remove CLAP"

This reverts commit 62fd59bc837c580239840a2bc84b15e0663730fc.

Revert

* Remove CLAP

* bf16 audo grad cilp

* Update webui and infer utils

* Update webui.py

* Update webui.py

* Update webui-preprocess.py

* Update webui_preprocess.py

---------

Co-authored-by: Sihan Wang <wangsihan1995@gmail.com>
Co-authored-by: OedoSoldier <31711261+OedoSoldier@users.noreply.github.com>
Co-authored-by: litagin02 <139731664+litagin02@users.noreply.github.com>
Co-authored-by: Sora <654163754@qq.com>
Co-authored-by: Ναρουσέ·μ·γιουμεμί·Χινακάννα <40709280+NaruseMioShirakana@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

oldVersion/V210/__init__.py

@@ -7,7 +7,7 @@ from .text import cleaned_text_to_sequence, get_bert
 from .text.cleaner import clean_text
 
 
-def get_text(text, language_str, hps, device):
+def get_text(text, language_str, hps, device, style_text=None, style_weight=0.7):
     # 在此处实现当前版本的get_text
     norm_text, phone, tone, word2ph = clean_text(text, language_str)
     phone, tone, language = cleaned_text_to_sequence(phone, tone, language_str)
@@ -19,7 +19,9 @@ def get_text(text, language_str, hps, device):
         for i in range(len(word2ph)):
             word2ph[i] = word2ph[i] * 2
         word2ph[0] += 1
-    bert_ori = get_bert(norm_text, word2ph, language_str, device)
+    bert_ori = get_bert(
+        norm_text, word2ph, language_str, device, style_text, style_weight
+    )
     del word2ph
     assert bert_ori.shape[-1] == len(phone), phone
 
@@ -74,9 +76,11 @@ def infer(
     emotion=None,
     skip_start=False,
     skip_end=False,
+    style_text=None,
+    style_weight=0.7,
 ):
     bert, ja_bert, en_bert, phones, tones, lang_ids = get_text(
-        text, language, hps, device
+        text, language, hps, device, style_text, style_weight
     )
     emo = get_emo_(reference_audio, emotion)
     if skip_start: