Add constants and apply

app.py

@@ -53,7 +53,7 @@ class App:
         with gr.Row():
             dd_model = gr.Dropdown(choices=self.whisper_inf.available_models, value=whisper_params["model_size"],
                                    label="Model")
-            dd_lang = gr.Dropdown(choices=["Automatic Detection"] + self.whisper_inf.available_langs,
+            dd_lang = gr.Dropdown(choices=[AUTOMATIC_DETECTION] + self.whisper_inf.available_langs,
                                   value=whisper_params["lang"], label="Language")
             dd_file_format = gr.Dropdown(choices=["SRT", "WebVTT", "txt"], value="SRT", label="File Format")
         with gr.Row():

modules/translation/deepl_api.py

@@ -5,6 +5,7 @@ from datetime import datetime
 import gradio as gr
 
 from modules.utils.paths import TRANSLATION_OUTPUT_DIR, DEFAULT_PARAMETERS_CONFIG_PATH
+from modules.utils.constants import AUTOMATIC_DETECTION
 from modules.utils.subtitle_manager import *
 from modules.utils.files_manager import load_yaml, save_yaml
 
@@ -50,7 +51,7 @@ DEEPL_AVAILABLE_TARGET_LANGS = {
 }
 
 DEEPL_AVAILABLE_SOURCE_LANGS = {
-    'Automatic Detection': None,
+    AUTOMATIC_DETECTION: None,
     'Bulgarian': 'BG',
     'Czech': 'CS',
     'Danish': 'DA',

modules/utils/constants.py

@@ -0,0 +1,3 @@
+from gradio_i18n import Translate, gettext as _
+
+AUTOMATIC_DETECTION = _("Automatic Detection")

modules/whisper/whisper_base.py

@@ -14,6 +14,7 @@ from dataclasses import astuple
 from modules.uvr.music_separator import MusicSeparator
 from modules.utils.paths import (WHISPER_MODELS_DIR, DIARIZATION_MODELS_DIR, OUTPUT_DIR, DEFAULT_PARAMETERS_CONFIG_PATH,
                                  UVR_MODELS_DIR)
+from modules.utils.constants import AUTOMATIC_DETECTION
 from modules.utils.subtitle_manager import get_srt, get_vtt, get_txt, write_file, safe_filename
 from modules.utils.youtube_manager import get_ytdata, get_ytaudio
 from modules.utils.files_manager import get_media_files, format_gradio_files, load_yaml, save_yaml
@@ -107,7 +108,7 @@ class WhisperBase(ABC):
 
         if params.lang is None:
             pass
-        elif params.lang == "Automatic Detection":
+        elif params.lang == AUTOMATIC_DETECTION:
             params.lang = None
         else:
             language_code_dict = {value: key for key, value in whisper.tokenizer.LANGUAGES.items()}

modules/whisper/whisper_parameter.py

@@ -3,6 +3,8 @@ import gradio as gr
 from typing import Optional, Dict
 import yaml
 
+from modules.utils.constants import AUTOMATIC_DETECTION
+
 
 @dataclass
 class WhisperParameters:
@@ -306,7 +308,7 @@ class WhisperValues:
         data = {
             "whisper": {
                 "model_size": self.model_size,
-                "lang": "Automatic Detection" if self.lang is None else self.lang,
+                "lang": AUTOMATIC_DETECTION if self.lang is None else self.lang,
                 "is_translate": self.is_translate,
                 "beam_size": self.beam_size,
                 "log_prob_threshold": self.log_prob_threshold,