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