yama commited on
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70838ea
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1 Parent(s): f22e732

Update app.py

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Files changed (1) hide show
  1. app.py +5 -101
app.py CHANGED
@@ -31,104 +31,7 @@ import openai
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  whisper_models = ["tiny", "base", "small", "medium", "large-v1", "large-v2"]
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  source_languages = {
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  "en": "English",
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- "zh": "Chinese",
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- "de": "German",
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- "es": "Spanish",
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- "ru": "Russian",
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- "ko": "Korean",
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- "fr": "French",
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  "ja": "Japanese",
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- "pt": "Portuguese",
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- "tr": "Turkish",
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- "pl": "Polish",
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- "ca": "Catalan",
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- "nl": "Dutch",
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- "ar": "Arabic",
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- "sv": "Swedish",
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- "it": "Italian",
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- "id": "Indonesian",
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- "hi": "Hindi",
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- "fi": "Finnish",
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- "vi": "Vietnamese",
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- "he": "Hebrew",
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- "uk": "Ukrainian",
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- "el": "Greek",
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- "ms": "Malay",
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- "cs": "Czech",
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- "ro": "Romanian",
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- "da": "Danish",
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- "hu": "Hungarian",
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- "ta": "Tamil",
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- "no": "Norwegian",
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- "th": "Thai",
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- "ur": "Urdu",
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- "hr": "Croatian",
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- "bg": "Bulgarian",
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- "lt": "Lithuanian",
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- "la": "Latin",
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- "mi": "Maori",
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- "ml": "Malayalam",
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- "cy": "Welsh",
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- "sk": "Slovak",
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- "te": "Telugu",
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- "fa": "Persian",
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- "lv": "Latvian",
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- "bn": "Bengali",
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- "sr": "Serbian",
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- "az": "Azerbaijani",
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- "sl": "Slovenian",
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- "kn": "Kannada",
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- "et": "Estonian",
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- "mk": "Macedonian",
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- "br": "Breton",
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- "eu": "Basque",
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- "is": "Icelandic",
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- "hy": "Armenian",
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- "ne": "Nepali",
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- "mn": "Mongolian",
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- "bs": "Bosnian",
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- "kk": "Kazakh",
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- "sq": "Albanian",
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- "sw": "Swahili",
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- "gl": "Galician",
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- "mr": "Marathi",
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- "pa": "Punjabi",
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- "si": "Sinhala",
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- "km": "Khmer",
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- "sn": "Shona",
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- "yo": "Yoruba",
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- "so": "Somali",
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- "af": "Afrikaans",
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- "oc": "Occitan",
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- "ka": "Georgian",
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- "be": "Belarusian",
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- "tg": "Tajik",
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- "sd": "Sindhi",
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- "gu": "Gujarati",
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- "am": "Amharic",
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- "yi": "Yiddish",
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- "lo": "Lao",
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- "uz": "Uzbek",
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- "fo": "Faroese",
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- "ht": "Haitian creole",
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- "ps": "Pashto",
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- "tk": "Turkmen",
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- "nn": "Nynorsk",
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- "mt": "Maltese",
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- "sa": "Sanskrit",
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- "lb": "Luxembourgish",
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- "my": "Myanmar",
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- "bo": "Tibetan",
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- "tl": "Tagalog",
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- "mg": "Malagasy",
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- "as": "Assamese",
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- "tt": "Tatar",
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- "haw": "Hawaiian",
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- "ln": "Lingala",
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- "ha": "Hausa",
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- "ba": "Bashkir",
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- "jw": "Javanese",
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- "su": "Sundanese",
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  }
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  source_language_list = [key[0] for key in source_languages.items()]
@@ -398,10 +301,11 @@ transcription_df = gr.DataFrame(value=df_init, label="Transcription dataframe",
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  wrap=True, overflow_row_behaviour='paginate')
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  openai_key_in = gr.Textbox(lines=1, label="openai_key", type="password")
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  openai_prompt_in = gr.TextArea(label="openai_prompt", value="""会議の文字起こしが渡されます。
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- この会議のサマリーをMarkdown形式で作成してください。サマリーは、以下のような形式で書いてください。
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- - 会議の目的
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- - 会議の内容
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- - 会議の結果""")
 
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  transcription_summary_out = gr.Textbox(label="transcription_summary")
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  title = "Whisper speaker diarization"
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  demo = gr.Blocks(title=title)
 
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  whisper_models = ["tiny", "base", "small", "medium", "large-v1", "large-v2"]
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  source_languages = {
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  "en": "English",
 
 
 
 
 
 
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  "ja": "Japanese",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  source_language_list = [key[0] for key in source_languages.items()]
 
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  wrap=True, overflow_row_behaviour='paginate')
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  openai_key_in = gr.Textbox(lines=1, label="openai_key", type="password")
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  openai_prompt_in = gr.TextArea(label="openai_prompt", value="""会議の文字起こしが渡されます。
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+
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+ この会議のサマリーをMarkdown形式で作成してください。サマリーは、以下のような形式で書いてください。
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+ - 会議の目的
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+ - 会議の内容
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+ - 会議の結果""")
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  transcription_summary_out = gr.Textbox(label="transcription_summary")
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  title = "Whisper speaker diarization"
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  demo = gr.Blocks(title=title)