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Add informative description to gradio demo
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app.py
CHANGED
@@ -2,16 +2,15 @@ import gradio as gr
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import whisper
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from pybraille import convertText
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# Translate speech to braille
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model = whisper.load_model('base')
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def speech_to_text(audio):
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"""
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:param audio: Speech data
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:return: Transcript of speech data
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"""
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return model.transcribe(audio)
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@@ -36,6 +35,11 @@ def transcribe_audio(audio, store=None):
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# Setup gradio interface
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title = "Speech to Braille Translator"
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transcription_tb = gr.Textbox(label="Transcription", lines=10, max_lines=20)
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detected_lang = gr.outputs.HTML(label="Detected Language")
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transcription_braille = gr.Textbox(label="Braille", lines=10, max_lines=20)
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@@ -57,6 +61,7 @@ demo = gr.Interface(fn=transcribe_audio,
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# live=True,
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allow_flagging='never',
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title=title,
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)
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# Launch gradio app
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import whisper
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from pybraille import convertText
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# Translate speech to braille
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def speech_to_text(audio):
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"""
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:param audio: Speech data
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:return: Transcript of speech data
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"""
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model = whisper.load_model('base')
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return model.transcribe(audio)
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# Setup gradio interface
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title = "Speech to Braille Translator"
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description = 'This is a Speech to Braille translation demo. The speech-text translation uses the OpenAI ' \
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'[Whisper](https://openai.com/blog/whisper/) [model](https://github.com/openai/whisper) whilst the text-braille' \
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'component utilises the [PyBraille](https://pypi.org/project/pybraille/) library. You can find the project on ' \
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'[Github](https://github.com/Azuremis/speech_to_braille_translator). Made by [Azuremis](https://azuremis.bio.link).'
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transcription_tb = gr.Textbox(label="Transcription", lines=10, max_lines=20)
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detected_lang = gr.outputs.HTML(label="Detected Language")
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transcription_braille = gr.Textbox(label="Braille", lines=10, max_lines=20)
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# live=True,
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allow_flagging='never',
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title=title,
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description=description,
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)
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# Launch gradio app
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