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from collections import deque
import os
import threading
import time
import av
import numpy as np
import streamlit as st
from streamlit_webrtc import WebRtcMode, webrtc_streamer
import pydub
# import av
# import cv2
from sample_utils.turn import get_ice_servers
import json
from typing import List
from vosk import SetLogLevel, Model, KaldiRecognizer
SetLogLevel(-1) # mutes vosk verbosity
from dotenv import load_dotenv
load_dotenv()
system_one = {
"audio_bit_rate": 16000,
# "audio_bit_rate": 32000,
# "audio_bit_rate": 48000,
}
playing = st.checkbox("Playing", value=True)
def load_vosk (model='small'):
# load vosk model
# get path of current file
current_file_path = os.path.abspath(__file__)
current_directory = os.path.dirname(current_file_path)
_path = os.path.join(current_directory, 'models', 'vosk', model)
model_voice = Model(_path)
recognizer = KaldiRecognizer(model_voice, system_one['audio_bit_rate'])
return recognizer
vask = load_vosk()
def handle_audio_frame(frame):
# if self.vosk.AcceptWaveform(data):
pass
def do_work(data: bytearray) -> tuple[str, bool]:
text = ''
speaker_finished = False
if vask.AcceptWaveform(data):
result = vask.Result()
result_json = json.loads(result)
text = result_json['text']
speaker_finished = True
else:
result = vask.PartialResult()
result_json = json.loads(result)
text = result_json['partial']
return text, speaker_finished
frames_deque_lock = threading.Lock()
frames_deque: deque = deque([])
async def queued_audio_frames_callback(
frames: List[av.AudioFrame],
) -> av.AudioFrame:
with frames_deque_lock:
frames_deque.extend(frames)
# create frames to be returned.
new_frames = []
for frame in frames:
input_array = frame.to_ndarray()
new_frame = av.AudioFrame.from_ndarray(
np.zeros(input_array.shape, dtype=input_array.dtype),
layout=frame.layout.name,
)
new_frame.sample_rate = frame.sample_rate
new_frames.append(new_frame)
# TODO: replace with the audio we want to send to the other side.
return new_frames
webrtc_ctx = webrtc_streamer(
key="charles",
desired_playing_state=playing,
# audio_receiver_size=4096,
# audio_frame_callback=process_audio,
queued_audio_frames_callback=queued_audio_frames_callback,
mode=WebRtcMode.SENDRECV,
rtc_configuration={"iceServers": get_ice_servers()},
async_processing=True,
)
system_one_audio_status = st.empty()
if not webrtc_ctx.state.playing:
exit
system_one_audio_status.write("Initializing...")
system_one_audio_output = st.empty()
system_one_audio_history = []
system_one_audio_history_output = st.empty()
sound_chunk = pydub.AudioSegment.empty()
while True:
if webrtc_ctx.state.playing:
audio_frames = []
with frames_deque_lock:
while len(frames_deque) > 0:
frame = frames_deque.popleft()
audio_frames.append(frame)
if len(audio_frames) == 0:
time.sleep(0.1)
system_one_audio_status.write("No frame arrived.")
continue
system_one_audio_status.write("Running. Say something!")
for audio_frame in audio_frames:
sound = pydub.AudioSegment(
data=audio_frame.to_ndarray().tobytes(),
sample_width=audio_frame.format.bytes,
frame_rate=audio_frame.sample_rate,
channels=len(audio_frame.layout.channels),
)
sound = sound.set_channels(1)
sound = sound.set_frame_rate(system_one['audio_bit_rate'])
sound_chunk += sound
if len(sound_chunk) > 0:
buffer = np.array(sound_chunk.get_array_of_samples())
text, speaker_finished = do_work(buffer.tobytes())
system_one_audio_output.markdown(f"**System 1 Audio:** {text}")
if speaker_finished and len(text) > 0:
system_one_audio_history.append(text)
if len(system_one_audio_history) > 10:
system_one_audio_history = system_one_audio_history[-10:]
table_content = "| System 1 Audio History |\n| --- |\n"
table_content += "\n".join([f"| {item} |" for item in reversed(system_one_audio_history)])
system_one_audio_history_output.markdown(table_content)
sound_chunk = pydub.AudioSegment.empty()
else:
system_one_audio_status.write("Stopped.")
break
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