From b006d268cd52a6febdae7344ecb183b510391ae5 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 23 三月 2023 13:46:49 +0800
Subject: [PATCH] websocket
---
funasr/runtime/python/websocket/ASR_server.py | 46 ++++++++++++++++++++++++++++++++++++++--------
1 files changed, 38 insertions(+), 8 deletions(-)
diff --git a/funasr/runtime/python/websocket/ASR_server.py b/funasr/runtime/python/websocket/ASR_server.py
index 3627d3a..0af5208 100644
--- a/funasr/runtime/python/websocket/ASR_server.py
+++ b/funasr/runtime/python/websocket/ASR_server.py
@@ -6,19 +6,49 @@
logger = get_logger(log_level=logging.CRITICAL)
logger.setLevel(logging.CRITICAL)
+
import asyncio
-import websockets #鍖哄埆瀹㈡埛绔繖閲屾槸 websockets搴�
+import websockets
import time
from queue import Queue
-import threading
+import threading
+import argparse
+
+parser = argparse.ArgumentParser()
+parser.add_argument("--host",
+ type=str,
+ default="0.0.0.0",
+ required=False,
+ help="host ip, localhost, 0.0.0.0")
+parser.add_argument("--port",
+ type=int,
+ default=10095,
+ required=False,
+ help="grpc server port")
+parser.add_argument("--asr_model",
+ type=str,
+ default="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
+ help="model from modelscope")
+parser.add_argument("--vad_model",
+ type=str,
+ default="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch",
+ help="model from modelscope")
+
+parser.add_argument("--punc_model",
+ type=str,
+ default="",
+ help="model from modelscope")
+
+args = parser.parse_args()
print("model loading")
voices = Queue()
speek = Queue()
+
# 鍒涘缓涓�涓猇AD瀵硅薄
vad_pipline = pipeline(
task=Tasks.voice_activity_detection,
- model="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch",
+ model=args.vad_model,
model_revision="v1.2.0",
output_dir=None,
batch_size=1,
@@ -26,17 +56,17 @@
# 鍒涘缓涓�涓狝SR瀵硅薄
param_dict = dict()
-param_dict["hotword"] = "灏忎簲 灏忎簲鏈�" # 璁剧疆鐑瘝锛岀敤绌烘牸闅斿紑
+# param_dict["hotword"] = "灏忎簲 灏忎簲鏈�" # 璁剧疆鐑瘝锛岀敤绌烘牸闅斿紑
inference_pipeline2 = pipeline(
task=Tasks.auto_speech_recognition,
- model="damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404",
+ model=args.asr_model,
param_dict=param_dict,
)
print("model loaded")
-async def echo(websocket, path):
+async def ws_serve(websocket, path):
global voices
try:
async for message in websocket:
@@ -47,7 +77,7 @@
except Exception as e:
print('Exception occurred:', e)
-start_server = websockets.serve(echo, "localhost", 8899, subprotocols=["binary"],ping_interval=None)
+start_server = websockets.serve(ws_serve, args.host, args.port, subprotocols=["binary"], ping_interval=None)
def vad(data): # 鎺ㄧ悊
@@ -95,7 +125,7 @@
frames.append(data)
RECORD_NUM += 1
- if vad(data):
+ if vad(data):
if not speech_detected:
print("妫�娴嬪埌浜哄０...")
speech_detected = True # 鏍囪涓烘娴嬪埌璇煶
--
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