LAP-DEV commited on
Commit
93b8a2d
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1 Parent(s): ce3b707

Update app.py

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Files changed (1) hide show
  1. app.py +4 -7
app.py CHANGED
@@ -98,22 +98,19 @@ class App:
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  nllb_params = translation_params["nllb"]
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  with gr.Row():
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- # with gr.Column(scale=4):
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- with gr.Column():
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  with gr.Row():
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  dd_model = gr.Dropdown(choices=self.whisper_inf.available_models, value=whisper_params["model_size"],label="Model", info="Larger models will increase the quality of the transcription, 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="If the language is known upfront, always set it manually", interactive=True)
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  cb_translate = gr.Checkbox(value=whisper_params["is_translate"], label="Translate to English",interactive=True, visible=False)
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  #dd_file_format = gr.Dropdown(choices=["SRT", "WebVTT", "txt"], value="SRT", label="File Format")
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  dd_file_format = gr.Dropdown(choices=["TXT","SRT"], value="TXT", label="Output format", info="Output preview format", interactive=True, visible=False)
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- cb_timestamp = gr.Checkbox(value=whisper_params["add_timestamp"], label="Add timestamp to output file",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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- cb_translate_output = gr.Checkbox(value=translation_params["translate_output"], label="Translate output",interactive=True)
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- # with gr.Column(scale=1):
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- # cb_timestamp = gr.Checkbox(value=whisper_params["add_timestamp"], label="Add timestamp to output file",interactive=True)
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- # cb_translate_output = gr.Checkbox(value=translation_params["translate_output"], label="Translate output",interactive=True)
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  # with gr.Accordion("Speaker diarization", open=False, visible=True):
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  # cb_diarize = gr.Checkbox(value=diarization_params["is_diarize"], label="Use diarization",interactive=True)
 
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  nllb_params = translation_params["nllb"]
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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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  dd_model = gr.Dropdown(choices=self.whisper_inf.available_models, value=whisper_params["model_size"],label="Model", info="Larger models will increase the quality of the transcription, 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="If the language is known upfront, always set it manually", interactive=True)
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  cb_translate = gr.Checkbox(value=whisper_params["is_translate"], label="Translate to English",interactive=True, visible=False)
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  #dd_file_format = gr.Dropdown(choices=["SRT", "WebVTT", "txt"], value="SRT", label="File Format")
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  dd_file_format = gr.Dropdown(choices=["TXT","SRT"], value="TXT", label="Output format", info="Output preview format", interactive=True, visible=False)
 
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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 = gr.Checkbox(value=whisper_params["add_timestamp"], label="Add timestamp to output file",interactive=True)
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+ cb_translate_output = gr.Checkbox(value=translation_params["translate_output"], label="Translate output",interactive=True)
 
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  # with gr.Accordion("Speaker diarization", open=False, visible=True):
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  # cb_diarize = gr.Checkbox(value=diarization_params["is_diarize"], label="Use diarization",interactive=True)