Update app.py
Browse files
app.py
CHANGED
@@ -106,11 +106,11 @@ class App:
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with gr.Row():
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with gr.Column(scale=4):
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with gr.Row(
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model_list = self.whisper_inf.available_models if len(whisper_params["model_list"]) == 0 else whisper_params["model_list"]
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dd_model = gr.Dropdown(choices=model_list, value=whisper_params["model_size"],label="Model", info="Larger models increase transcription quality, but reduce performance", interactive=True)
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dd_lang = gr.Dropdown(choices=["Automatic Detection"] + self.whisper_inf.available_langs,value=whisper_params["lang"], label="Language", info="Select the language if known upfront", interactive=True)
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with gr.Row(
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dd_translate_model = gr.Dropdown(choices=self.nllb_inf.available_models, value=nllb_params["model_size"],label="Model", info="Model used for translation", interactive=True)
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dd_target_lang = gr.Dropdown(choices=["English","Dutch","French","German"], value=nllb_params["target_lang"],label="Language", info="Language used for output translation", interactive=True)
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with gr.Column(scale=1):
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@@ -119,7 +119,6 @@ class App:
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cb_timestamp_file = gr.Checkbox(value=whisper_params["add_timestamp_file"], label="Add timestamp to output", interactive=True)
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with gr.Row():
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cb_diarize = gr.Checkbox(value=diarization_params["is_diarize"],label="Speaker diarization", info="Token required for diarization",interactive=True)
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with gr.Row():
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cb_translate = gr.Checkbox(value=whisper_params["is_translate"], label="Translate to English", info="Translate using OpenAI Whisper's built-in module",interactive=True)
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cb_translate_output = gr.Checkbox(value=translation_params["translate_output"], label="Translate to selected language", info="Translate using Facebook's NLLB",interactive=True)
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with gr.Row():
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with gr.Column(scale=4):
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with gr.Row():
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model_list = self.whisper_inf.available_models if len(whisper_params["model_list"]) == 0 else whisper_params["model_list"]
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dd_model = gr.Dropdown(choices=model_list, value=whisper_params["model_size"],label="Model", info="Larger models increase transcription quality, but reduce performance", interactive=True)
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dd_lang = gr.Dropdown(choices=["Automatic Detection"] + self.whisper_inf.available_langs,value=whisper_params["lang"], label="Language", info="Select the language if known upfront", interactive=True)
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with gr.Row():
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dd_translate_model = gr.Dropdown(choices=self.nllb_inf.available_models, value=nllb_params["model_size"],label="Model", info="Model used for translation", interactive=True)
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dd_target_lang = gr.Dropdown(choices=["English","Dutch","French","German"], value=nllb_params["target_lang"],label="Language", info="Language used for output translation", interactive=True)
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with gr.Column(scale=1):
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cb_timestamp_file = gr.Checkbox(value=whisper_params["add_timestamp_file"], label="Add timestamp to output", interactive=True)
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with gr.Row():
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cb_diarize = gr.Checkbox(value=diarization_params["is_diarize"],label="Speaker diarization", info="Token required for diarization",interactive=True)
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cb_translate = gr.Checkbox(value=whisper_params["is_translate"], label="Translate to English", info="Translate using OpenAI Whisper's built-in module",interactive=True)
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cb_translate_output = gr.Checkbox(value=translation_params["translate_output"], label="Translate to selected language", info="Translate using Facebook's NLLB",interactive=True)
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