update source_languages

app.py

@@ -29,14 +29,14 @@ import psutil
 
 whisper_models = ["tiny", "base", "small", "medium", "large-v1", "large-v2"]
 source_languages = {
-    "English": "English",
+    "English": "en",
     # "zh": "Chinese",
     # "de": "German",
     # "es": "Spanish",
     # "ru": "Russian",
     # "ko": "Korean",
     # "fr": "French",
-    "Japan": "Japanese",
+    # "ja": "Japanese",
     # "pt": "Portuguese",
     # "tr": "Turkish",
     # "pl": "Polish",
@@ -45,7 +45,7 @@ source_languages = {
     # "ar": "Arabic",
     # "sv": "Swedish",
     # "it": "Italian",
-    "Indonesia": "Indonesian"
+    "Indonesian": "id",
     # "hi": "Hindi",
     # "fi": "Finnish",
     # "vi": "Vietnamese",
@@ -351,7 +351,7 @@ video_in = gr.Video(label="Video file", mirror_webcam=False)
 youtube_url_in = gr.Textbox(label="Youtube url", lines=1, interactive=True)
 df_init = pd.DataFrame(columns=['Start', 'End', 'Speaker', 'Text'])
 memory = psutil.virtual_memory()
-selected_source_lang = gr.Dropdown(choices=source_language_list, type="value", value="Indonesia", label="Spoken language in video", interactive=True)
+selected_source_lang = gr.Dropdown(choices=source_language_list, type="value", value="en", label="Spoken language in video", interactive=True)
 selected_whisper_model = gr.Dropdown(choices=whisper_models, type="value", value="base", label="Selected Whisper model", interactive=True)
 number_speakers = gr.Number(precision=0, value=0, label="Input number of speakers for better results. If value=0, model will automatic find the best number of speakers", interactive=True)
 system_info = gr.Markdown(f"*Memory: {memory.total / (1024 * 1024 * 1024):.2f}GB, used: {memory.percent}%, available: {memory.available / (1024 * 1024 * 1024):.2f}GB*")