2023-03-09 06:46:50 -05:00
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import gradio as gr
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import speech_recognition as sr
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2023-03-09 14:33:00 -05:00
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2023-03-09 06:46:50 -05:00
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input_hijack = {
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'state': False,
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'value': ["", ""]
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}
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def do_stt():
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transcription = ""
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r = sr.Recognizer()
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with sr.Microphone() as source:
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2023-03-09 15:18:46 -05:00
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r.adjust_for_ambient_noise(source, 0.2)
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2023-03-09 06:46:50 -05:00
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audio = r.listen(source)
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try:
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2023-03-09 15:18:46 -05:00
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transcription = r.recognize_whisper(audio, language="english", model="base.en")
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2023-03-09 06:46:50 -05:00
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except sr.UnknownValueError:
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print("Whisper could not understand audio")
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except sr.RequestError as e:
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print("Could not request results from Whisper", e)
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2023-03-09 06:46:50 -05:00
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input_hijack.update({"state": True, "value": [transcription, transcription]})
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return transcription
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2023-03-09 15:03:49 -05:00
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def update_hijack(val):
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input_hijack.update({"state": True, "value": [val, val]})
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return val
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2023-03-09 06:46:50 -05:00
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def ui():
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speech_button = gr.Button(value="🎙️")
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2023-03-09 15:03:49 -05:00
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output_transcription = gr.Textbox(label="STT-Input", placeholder="Speech Preview. Click \"Generate\" to send", interactive=True)
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output_transcription.change(fn=update_hijack, inputs=[output_transcription])
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2023-03-09 06:46:50 -05:00
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speech_button.click(do_stt, outputs=[output_transcription])
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