From 1d1ef01b4e23630a99a3be7e9d1dce9550a793e9 Mon Sep 17 00:00:00 2001
From: yhliang <68215459+yhliang-aslp@users.noreply.github.com>
Date: 星期四, 11 五月 2023 16:26:24 +0800
Subject: [PATCH] Merge branch 'main' into dev_smohan
---
funasr/runtime/python/websocket/ws_server_offline.py | 150 ++++++++++++++++++++++++++++++++++++++++++++++++++
1 files changed, 150 insertions(+), 0 deletions(-)
diff --git a/funasr/runtime/python/websocket/ws_server_offline.py b/funasr/runtime/python/websocket/ws_server_offline.py
new file mode 100644
index 0000000..15578f6
--- /dev/null
+++ b/funasr/runtime/python/websocket/ws_server_offline.py
@@ -0,0 +1,150 @@
+import asyncio
+import json
+import websockets
+import time
+import logging
+import tracemalloc
+import numpy as np
+
+from parse_args import args
+from modelscope.pipelines import pipeline
+from modelscope.utils.constant import Tasks
+from modelscope.utils.logger import get_logger
+from funasr.runtime.python.onnxruntime.funasr_onnx.utils.frontend import load_bytes
+
+tracemalloc.start()
+
+logger = get_logger(log_level=logging.CRITICAL)
+logger.setLevel(logging.CRITICAL)
+
+
+websocket_users = set()
+
+print("model loading")
+# asr
+inference_pipeline_asr = pipeline(
+ task=Tasks.auto_speech_recognition,
+ model=args.asr_model,
+ ngpu=args.ngpu,
+ ncpu=args.ncpu,
+ model_revision=None)
+
+
+# vad
+inference_pipeline_vad = pipeline(
+ task=Tasks.voice_activity_detection,
+ model=args.vad_model,
+ model_revision=None,
+ output_dir=None,
+ batch_size=1,
+ mode='online',
+ ngpu=args.ngpu,
+ ncpu=args.ncpu,
+)
+
+if args.punc_model != "":
+ inference_pipeline_punc = pipeline(
+ task=Tasks.punctuation,
+ model=args.punc_model,
+ model_revision=None,
+ ngpu=args.ngpu,
+ ncpu=args.ncpu,
+ )
+else:
+ inference_pipeline_punc = None
+
+print("model loaded")
+
+async def ws_serve(websocket, path):
+ frames = []
+ frames_asr = []
+ global websocket_users
+ websocket_users.add(websocket)
+ websocket.param_dict_asr = {}
+ websocket.param_dict_vad = {'in_cache': dict(), "is_final": False}
+ websocket.param_dict_punc = {'cache': list()}
+ websocket.vad_pre_idx = 0
+ speech_start = False
+
+ try:
+ async for message in websocket:
+ message = json.loads(message)
+ is_finished = message["is_finished"]
+ if not is_finished:
+ audio = bytes(message['audio'], 'ISO-8859-1')
+ frames.append(audio)
+ duration_ms = len(audio)//32
+ websocket.vad_pre_idx += duration_ms
+
+ is_speaking = message["is_speaking"]
+ websocket.param_dict_vad["is_final"] = not is_speaking
+ websocket.wav_name = message.get("wav_name", "demo")
+ if speech_start:
+ frames_asr.append(audio)
+ speech_start_i, speech_end_i = await async_vad(websocket, audio)
+ if speech_start_i:
+ speech_start = True
+ beg_bias = (websocket.vad_pre_idx-speech_start_i)//duration_ms
+ frames_pre = frames[-beg_bias:]
+ frames_asr = []
+ frames_asr.extend(frames_pre)
+ if speech_end_i or not is_speaking:
+ audio_in = b"".join(frames_asr)
+ await async_asr(websocket, audio_in)
+ frames_asr = []
+ speech_start = False
+ if not is_speaking:
+ websocket.vad_pre_idx = 0
+ frames = []
+ websocket.param_dict_vad = {'in_cache': dict()}
+ else:
+ frames = frames[-20:]
+
+
+ except websockets.ConnectionClosed:
+ print("ConnectionClosed...", websocket_users)
+ websocket_users.remove(websocket)
+ except websockets.InvalidState:
+ print("InvalidState...")
+ except Exception as e:
+ print("Exception:", e)
+
+
+async def async_vad(websocket, audio_in):
+
+ segments_result = inference_pipeline_vad(audio_in=audio_in, param_dict=websocket.param_dict_vad)
+
+ speech_start = False
+ speech_end = False
+
+ if len(segments_result) == 0 or len(segments_result["text"]) > 1:
+ return speech_start, speech_end
+ if segments_result["text"][0][0] != -1:
+ speech_start = segments_result["text"][0][0]
+ if segments_result["text"][0][1] != -1:
+ speech_end = True
+ return speech_start, speech_end
+
+
+async def async_asr(websocket, audio_in):
+ if len(audio_in) > 0:
+ # print(len(audio_in))
+ audio_in = load_bytes(audio_in)
+
+ rec_result = inference_pipeline_asr(audio_in=audio_in,
+ param_dict=websocket.param_dict_asr)
+ # print(rec_result)
+ if inference_pipeline_punc is not None and 'text' in rec_result and len(rec_result["text"])>0:
+ rec_result = inference_pipeline_punc(text_in=rec_result['text'],
+ param_dict=websocket.param_dict_punc)
+ # print(rec_result)
+ message = json.dumps({"mode": "offline", "text": rec_result["text"], "wav_name": websocket.wav_name})
+ await websocket.send(message)
+
+
+
+
+
+start_server = websockets.serve(ws_serve, args.host, args.port, subprotocols=["binary"], ping_interval=None)
+asyncio.get_event_loop().run_until_complete(start_server)
+asyncio.get_event_loop().run_forever()
\ No newline at end of file
--
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