Jaikinator
124 lines
6.0 KiB
Python
124 lines
6.0 KiB
Python
"""
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This file contains the actual gradio Interface which is used to interact with the user.
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"""
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import gradio as gr
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import os
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import scraibe.app.global_var as gv
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from .interactions import *
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from .stg import *
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theme = gr.themes.Soft(
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primary_hue="green",
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secondary_hue='orange',
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neutral_hue="gray",
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)
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LANGUAGES = [
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"Afrikaans", "Arabic", "Armenian", "Azerbaijani", "Belarusian",
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"Bosnian", "Bulgarian", "Catalan", "Chinese", "Croatian",
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"Czech", "Danish", "Dutch", "English", "Estonian",
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"Finnish", "French", "Galician", "German", "Greek",
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"Hebrew", "Hindi", "Hungarian", "Icelandic", "Indonesian",
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"Italian", "Japanese", "Kannada", "Kazakh", "Korean",
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"Latvian", "Lithuanian", "Macedonian", "Malay", "Marathi",
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"Maori", "Nepali", "Norwegian", "Persian", "Polish",
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"Portuguese", "Romanian", "Russian", "Serbian", "Slovak",
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"Slovenian", "Spanish", "Swahili", "Swedish", "Tagalog",
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"Tamil", "Thai", "Turkish", "Ukrainian", "Urdu",
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"Vietnamese", "Welsh"
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]
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CURRENT_PATH = os.path.dirname(os.path.realpath(__file__))
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def gradio_Interface():
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with gr.Blocks(theme=theme,title='ScrAIbe: Automatic Audio Transcription') as demo:
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# Define components
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hname = os.path.join(CURRENT_PATH, "header.html")
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header = open(hname, "r").read()
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# ugly hack to get the logo to work
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header = header.replace("/file=logo.svg", f"/file={CURRENT_PATH}/logo.svg" )
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gr.HTML(header, visible= True, show_label=False)
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with gr.Row():
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with gr.Column():
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task = gr.Radio(["Auto Transcribe", "Transcribe", "Diarisation"], label="Task",
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value= 'Auto Transcribe')
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num_speakers = gr.Number(value=0, label= "Number of speakers (optional)",
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info = "Number of speakers in the audio file. If you don't know,\
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leave it at 0.", visible= True)
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translate = gr.Checkbox(label="Translation", choices=[True, False], value = False,
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info="Select 'Yes' to have the output translated into English.",
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visible= True)
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language = gr.Dropdown(LANGUAGES,
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label="Language (optional)", value = "None",
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info="Language of the audio file. If you don't know,\
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leave it at None.", visible= True)
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input = gr.Radio(["Upload Audio", "Record Audio", "Upload Video","Record Video"
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,"File or Files"], label="Input Type", value="Upload Audio")
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audio1 = gr.Audio(source="upload", type="filepath", label="Upload Audio",
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interactive= True, visible= True)
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audio2 = gr.Audio(source="microphone", label="Record Audio", type="filepath",
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interactive= True, visible= False)
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video1 = gr.Video(source="upload", type="filepath", label="Upload Video",
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interactive= True, visible= False)
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video2 = gr.Video(source="webcam", label="Record Video", type="filepath",include_audio= True,
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interactive= True, visible= False)
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file_in = gr.Files(label="Upload File or Files", interactive= True, visible= False)
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submit = gr.Button()
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with gr.Column():
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out_txt = gr.Textbox(label="Output",
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visible= True, show_copy_button=True)
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out_json = gr.JSON(label="JSON Output",
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visible= False, show_copy_button=True)
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annoation = gr.Textbox(label="Name your speaker's",
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info= "Please provide a list of the speakers arranged \
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in the order in which they appear in the input. Use comma ',' \
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as a seperator. Be aware that the first name is given \
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to SPEAKER_00 the second to SPEAKER_01 and so on.",
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visible= False, interactive= True)
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annotate = gr.Button(value="Annotate", visible= False, interactive= True)
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# Define usage of components
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input.change(fn=select_origin, inputs=[input],
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outputs=[audio1, audio2, video1, video2, file_in])
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task.change(fn=select_task, inputs=[task],
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outputs=[num_speakers, translate, language])
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translate.change(fn= lambda x : gr.update(value = x),
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inputs=[translate], outputs=[translate])
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num_speakers.change(fn= lambda x : gr.update(value = x),
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inputs=[num_speakers], outputs=[num_speakers])
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language.change(fn= lambda x : gr.update(value = x),
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inputs=[language], outputs=[language])
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submit.click(fn = run_scraibe,
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inputs=[task, num_speakers, translate, language, audio1,
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audio2, video1, video2, file_in],
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outputs=[out_txt, out_json, annoation, annotate])
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annotate.click(fn = annotate_output, inputs=[annoation, out_json],
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outputs=[out_txt, out_json])
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return demo |