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104 lines
4.2 KiB
104 lines
4.2 KiB
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import json
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import numpy as np
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from fastapi import APIRouter
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from fastapi import WebSocket
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from fastapi import WebSocketDisconnect
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from starlette.websockets import WebSocketState as WebSocketState
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from paddlespeech.server.engine.engine_pool import get_engine_pool
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from paddlespeech.server.utils.buffer import ChunkBuffer
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from paddlespeech.server.utils.vad import VADAudio
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router = APIRouter()
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@router.websocket('/ws/asr')
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async def websocket_endpoint(websocket: WebSocket):
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print("websocket protocal receive the dataset")
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await websocket.accept()
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engine_pool = get_engine_pool()
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asr_engine = engine_pool['asr']
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# init buffer
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# each websocekt connection has its own chunk buffer
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chunk_buffer_conf = asr_engine.config.chunk_buffer_conf
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chunk_buffer = ChunkBuffer(
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window_n=chunk_buffer_conf.window_n,
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shift_n=chunk_buffer_conf.shift_n,
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window_ms=chunk_buffer_conf.window_ms,
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shift_ms=chunk_buffer_conf.shift_ms,
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sample_rate=chunk_buffer_conf.sample_rate,
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sample_width=chunk_buffer_conf.sample_width)
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# init vad
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vad_conf = asr_engine.config.get('vad_conf', None)
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if vad_conf:
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vad = VADAudio(
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aggressiveness=vad_conf['aggressiveness'],
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rate=vad_conf['sample_rate'],
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frame_duration_ms=vad_conf['frame_duration_ms'])
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try:
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while True:
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# careful here, changed the source code from starlette.websockets
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assert websocket.application_state == WebSocketState.CONNECTED
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message = await websocket.receive()
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websocket._raise_on_disconnect(message)
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if "text" in message:
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message = json.loads(message["text"])
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if 'signal' not in message:
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resp = {"status": "ok", "message": "no valid json data"}
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await websocket.send_json(resp)
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if message['signal'] == 'start':
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resp = {"status": "ok", "signal": "server_ready"}
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# do something at begining here
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await websocket.send_json(resp)
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elif message['signal'] == 'end':
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engine_pool = get_engine_pool()
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asr_engine = engine_pool['asr']
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# reset single engine for an new connection
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asr_engine.reset()
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resp = {"status": "ok", "signal": "finished"}
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await websocket.send_json(resp)
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break
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else:
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resp = {"status": "ok", "message": "no valid json data"}
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await websocket.send_json(resp)
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elif "bytes" in message:
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message = message["bytes"]
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engine_pool = get_engine_pool()
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asr_engine = engine_pool['asr']
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asr_results = ""
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frames = chunk_buffer.frame_generator(message)
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for frame in frames:
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# get the pcm data from the bytes
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samples = np.frombuffer(frame.bytes, dtype=np.int16)
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sample_rate = asr_engine.config.sample_rate
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x_chunk, x_chunk_lens = asr_engine.preprocess(samples,
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sample_rate)
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asr_engine.run(x_chunk, x_chunk_lens)
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asr_results = asr_engine.postprocess()
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asr_results = asr_engine.postprocess()
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resp = {'asr_results': asr_results}
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await websocket.send_json(resp)
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except WebSocketDisconnect:
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pass
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