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Build error
File size: 1,560 Bytes
436ea00 | 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 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | import streamlit as st
import speech_recognition as sr
import pyaudio
import threading
import queue
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 44100
CHUNK = 1024
audio_queue = queue.Queue()
text_queue = queue.Queue()
def recognize_worker():
recognizer = sr.Recognizer()
while True:
audio_data = audio_queue.get()
if audio_data is None:
break
try:
text = recognizer.recognize_google(audio_data)
text_queue.put(text)
except sr.UnknownValueError:
pass
def audio_stream():
p = pyaudio.PyAudio()
stream = p.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK)
recognizer = sr.Recognizer()
while not stop_flag.is_set():
data = stream.read(CHUNK, exception_on_overflow=False)
if len(data) == 0:
break
audio_data = sr.AudioData(data, RATE, 2)
audio_queue.put(audio_data)
stream.stop_stream()
stream.close()
p.terminate()
st.title('Real-time Speech to Text')
stop_flag = threading.Event()
if st.button('Start Recording'):
stop_flag.clear()
threading.Thread(target=audio_stream, daemon=True).start()
threading.Thread(target=recognize_worker, daemon=True).start()
st.write('Recording started...')
if st.button('Stop Recording'):
stop_flag.set()
audio_queue.put(None)
st.write('Recording stopped.')
st.text_area('Text:', value='', key='text_area')
if not text_queue.empty():
st.session_state.text_area += text_queue.get() + '\n'
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