Spaces:
Runtime error
Runtime error
File size: 1,287 Bytes
292c2df |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
import gradio as gr
import speech_recognition as sr
from modules import shared
input_hijack = {
'state': False,
'value': ["", ""]
}
def do_stt(audio):
transcription = ""
r = sr.Recognizer()
# Convert to AudioData
audio_data = sr.AudioData(sample_rate=audio[0], frame_data=audio[1], sample_width=4)
try:
transcription = r.recognize_whisper(audio_data, 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)
return transcription
def auto_transcribe(audio, auto_submit):
if audio is None:
return "", ""
transcription = do_stt(audio)
if auto_submit:
input_hijack.update({"state": True, "value": [transcription, transcription]})
return transcription, None
def ui():
with gr.Row():
audio = gr.Audio(source="microphone")
auto_submit = gr.Checkbox(label='Submit the transcribed audio automatically', value=True)
audio.change(
auto_transcribe, [audio, auto_submit], [shared.gradio['textbox'], audio]).then(
None, auto_submit, None, _js="(check) => {if (check) { document.getElementById('Generate').click() }}")
|