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

for more information, see https://pre-commit.ci

fish_speech/text/clean.py

@@ -12,10 +12,10 @@ REPLACE_SYMBOL_REGEX = re.compile(
 
 EMOJI_REGEX = re.compile(
     "["
-    "\U0001F600-\U0001F64F"  # emoticons
-    "\U0001F300-\U0001F5FF"  # symbols & pictographs
-    "\U0001F680-\U0001F6FF"  # transport & map symbols
-    "\U0001F1E0-\U0001F1FF"  # flags (iOS)
+    "\U0001f600-\U0001f64f"  # emoticons
+    "\U0001f300-\U0001f5ff"  # symbols & pictographs
+    "\U0001f680-\U0001f6ff"  # transport & map symbols
+    "\U0001f1e0-\U0001f1ff"  # flags (iOS)
     "]+",
     flags=re.UNICODE,
 )

tools/webui/__init__.py

@@ -143,7 +143,7 @@ def build_app(inference_fct: Callable, theme: str = "light") -> gr.Blocks:
                 with gr.Row():
                     with gr.Column(scale=3):
                         generate = gr.Button(
-                            value="\U0001F3A7 " + i18n("Generate"),
+                            value="\U0001f3a7 " + i18n("Generate"),
                             variant="primary",
                         )
 

tools/whisper_asr.py

@@ -11,12 +11,12 @@ Directory structure:
 ------01.wav
 ------02.wav
 ------......
-Use 
-python tools/whisper_asr.py --audio-dir pre_data_root/SP_1 --save-dir data/SP_1 
+Use
+python tools/whisper_asr.py --audio-dir pre_data_root/SP_1 --save-dir data/SP_1
 to transcribe the first speaker.
 
-Use 
-python tools/whisper_asr.py --audio-dir pre_data_root/SP_2 --save-dir data/SP_2 
+Use
+python tools/whisper_asr.py --audio-dir pre_data_root/SP_2 --save-dir data/SP_2
 to transcribe the second speaker.
 
 Note: Be aware of your audio sample rate, which defaults to 44.1kHz.