Reputation: 34
I have implemented a simple client-server WebSocket connection using websocket.asyncio. My goal is to stream audio from the client to the server and to transcribe that audio using Google Cloud's SpeechAsyncClient. Here is the code for the server and client respectively:
import re
from google.cloud import speech_v1p1beta1 as speech
import google.api_core.retry_async as retries
import google.api_core.exceptions as core_exceptions
import asyncio
from websockets.asyncio.server import serve
streaming_config = speech.StreamingRecognitionConfig()
streaming_config.interim_results = True
streaming_config.config.encoding = speech.RecognitionConfig.AudioEncoding.LINEAR16
streaming_config.config.sample_rate_hertz = 16000
streaming_config.config.language_code = "en-US"
streaming_config.config.audio_channel_count = 1
streaming_config.config.enable_automatic_punctuation = True
streaming_config.config.profanity_filter = True
retry = retries.AsyncRetry(
initial=0.1,
maximum=60.0,
multiplier=1.3,
predicate=retries.if_exception_type(
core_exceptions.DeadlineExceeded,
core_exceptions.ServiceUnavailable,
),
deadline=5000.0,
)
class Server:
def __init__(self) -> None:
self._is_streaming = False
self._audio_queue = asyncio.Queue()
self._speech_client = speech.SpeechAsyncClient()
async def _read_audio(self):
print("Reading audio")
config_request = speech.StreamingRecognizeRequest()
config_request.streaming_config = streaming_config
yield config_request
while self._is_streaming:
chunk = await self._audio_queue.get()
if chunk is None:
return
data = [chunk]
while True:
try:
chunk = await self._audio_queue.get_nowait()
if chunk is None:
return
data.append(chunk)
except asyncio.QueueEmpty:
break
request = speech.StreamingRecognizeRequest()
request.audio_content = b"".join(data)
yield request
async def _build_requests(self):
print("Building requests")
audio_generator = self._read_audio()
responses = await self._speech_client.streaming_recognize(
requests=audio_generator,
retry=retry,
)
print("Done")
await self._listen_print_loop(responses)
async def _handler(self, websocket):
print("Connection")
asyncio.create_task(self._build_requests())
self._is_streaming = True
try:
async for message in websocket:
await self._audio_queue.put(message)
except Exception as e:
print(f"Failed: {e}")
async def launch_server(self):
print("Waiting for connection...", end=" ")
server = await serve(
self._handler,
host="localhost",
port=8080,
)
await server.serve_forever()
async def _listen_print_loop(self, responses) -> str:
num_chars_printed = 0
transcript = ""
async for response in responses:
if not response.results:
continue
result = response.results[0]
if not result.alternatives:
continue
transcript = result.alternatives[0].transcript
overwrite_chars = " " * (num_chars_printed - len(transcript))
if not result.is_final:
print(transcript + overwrite_chars)
num_chars_printed = len(transcript)
else:
print(transcript + overwrite_chars)
if re.search(r"\b(exit|quit)\b", transcript, re.I):
print("Exiting..")
break
num_chars_printed = 0
return transcript
if __name__ == "__main__":
server = Server()
asyncio.run(server.launch_server())
from websockets.asyncio.client import connect
import asyncio
import numpy as np
import sounddevice as sd
import queue
# Audio recording parameters
RATE = 16000
CHUNK = int(RATE / 10) # 100ms
class MicrophoneStream:
"""Opens a recording stream as a generator yielding the audio chunks."""
def __init__(self, rate: int = RATE, chunk: int = CHUNK):
"""The audio -- and generator -- is guaranteed to be on the main thread."""
self._rate = rate
self._chunk = chunk
# Create a thread-safe buffer of audio data
self._buff = queue.Queue()
self.closed = True
def __enter__(self) -> "MicrophoneStream":
self.closed = False
# Start the audio stream
self._stream = sd.InputStream(
samplerate=self._rate,
channels=1,
dtype='int16',
blocksize=self._chunk,
callback=self._fill_buffer
)
self._stream.start()
return self
def __exit__(self, type, value, traceback) -> None:
"""Closes the stream, regardless of whether the connection was lost or not."""
self._stream.stop()
self._stream.close()
self.closed = True
self._buff.put(None)
def _fill_buffer(
self, in_data: np.ndarray, frames: int, time, status
) -> None:
"""Continuously collect data from the audio stream, into the buffer.
Args:
in_data: The audio data as a NumPy array
frames: The number of frames captured
time: The time information
status: The status flags
"""
self._buff.put(in_data.tobytes())
def generator(self):
while not self.closed:
# Use a blocking get() to ensure there's at least one chunk of
# data, and stop iteration if the chunk is None, indicating the
# end of the audio stream.
chunk = self._buff.get()
if chunk is None:
return
data = [chunk]
while True:
try:
chunk = self._buff.get(block=False)
if chunk is None:
return
data.append(chunk)
except queue.Empty:
break
yield b"".join(data)
async def start_client():
uri = "ws://localhost:8080"
async with connect(uri) as websocket:
with MicrophoneStream(RATE, CHUNK) as stream:
for chunk in stream.generator():
await websocket.send(chunk)
if __name__ == "__main__":
asyncio.run(start_client())
This sends audio from the client side continuously filling the audio buffer and the _build_requests
method instantiates the async generator used by the SpeechAsyncClient.streaming_recognise
method. However, this method hangs and doesn't get to the print("Done") line and never calls the generator _read_audio
. Is there an issue in how I have used asyncio?
Upvotes: 1
Views: 66