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Merge pull request #1222 from xinnan-tech/fix-fun-server
update:优化ASR_FunASRServer文档
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@@ -1,5 +0,0 @@
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-- 更新模型供应器表
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UPDATE `ai_model_provider` SET fields = '[{"key": "host", "type": "string", "label": "服务地址"}, {"key": "port", "type": "number", "label": "端口号"}, {"key": "api_key", "type": "string", "label": "API密钥"}]' WHERE id = 'SYSTEM_ASR_FunASRServer';
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-- 更新模型配置表
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UPDATE `ai_model_config` SET config_json = '{"host": "127.0.0.1", "port": 10096, "type": "fun_server", "api_key": "none"}' WHERE id = 'ASR_FunASRServer';
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@@ -0,0 +1,15 @@
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-- 更新模型供应器表
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UPDATE `ai_model_provider` SET fields = '[{"key": "host", "type": "string", "label": "服务地址"}, {"key": "port", "type": "number", "label": "端口号"}, {"key": "type", "type": "string", "label": "服务类型"}, {"key": "is_ssl", "type": "boolean", "label": "是否使用SSL"}, {"key": "api_key", "type": "string", "label": "API密钥"}, {"key": "output_dir", "type": "string", "label": "输出目录"}]' WHERE id = 'SYSTEM_ASR_FunASRServer';
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-- 更新模型配置表
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UPDATE `ai_model_config` SET
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config_json = '{"host": "127.0.0.1", "port": 10096, "type": "fun_server", "is_ssl": true, "api_key": "none", "output_dir": "tmp/"}',
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`doc_link` = 'https://github.com/modelscope/FunASR/blob/main/runtime/docs/SDK_advanced_guide_online_zh.md',
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`remark` = '独立部署FunASR,使用FunASR的API服务,只需要五句话
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第一句:mkdir -p ./funasr-runtime-resources/models
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第二句:sudo docker run -p 10096:10095 -it --privileged=true -v $PWD/funasr-runtime-resources/models:/workspace/models registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.12
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上一句话执行后会进入到容器,继续第三句:cd FunASR/runtime
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不要退出容器,继续在容器中执行第四句:nohup bash run_server_2pass.sh --download-model-dir /workspace/models --vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx --model-dir damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx --online-model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online-onnx --punc-dir damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727-onnx --lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst --itn-dir thuduj12/fst_itn_zh --hotword /workspace/models/hotwords.txt > log.txt 2>&1 &
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上一句话执行后会进入到容器,继续第五句:tail -f log.txt
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第五句话执行完后,会看到模型下载日志,下载完后就可以连接使用了
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以上是使用CPU推理,如果有GPU,详细参考:https://github.com/modelscope/FunASR/blob/main/runtime/docs/SDK_advanced_guide_online_zh.md' WHERE `id` = 'ASR_FunASRServer';
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@@ -115,12 +115,12 @@ databaseChangeLog:
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encoding: utf8
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path: classpath:db/changelog/202505091409.sql
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- changeSet:
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id: 202505091552
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id: 202505091554
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author: whosmyqueen
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changes:
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- sqlFile:
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encoding: utf8
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path: classpath:db/changelog/202505091552.sql
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path: classpath:db/changelog/202505091554.sql
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- changeSet:
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id: 202505111914
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author: hrz
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@@ -221,7 +221,7 @@ ASR:
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FunASRServer:
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# 独立部署FunASR,使用FunASR的API服务,只需要五句话
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# 第一句:mkdir -p ./funasr-runtime-resources/models
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# 第二句:sudo docker run -d -p 10096:10095 --privileged=true -v $PWD/funasr-runtime-resources/models:/workspace/models registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.12
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# 第二句:sudo docker run -p 10096:10095 -it --privileged=true -v $PWD/funasr-runtime-resources/models:/workspace/models registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.12
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# 上一句话执行后会进入到容器,继续第三句:cd FunASR/runtime
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# 不要退出容器,继续在容器中执行第四句:nohup bash run_server_2pass.sh --download-model-dir /workspace/models --vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx --model-dir damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx --online-model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online-onnx --punc-dir damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727-onnx --lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst --itn-dir thuduj12/fst_itn_zh --hotword /workspace/models/hotwords.txt > log.txt 2>&1 &
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# 上一句话执行后会进入到容器,继续第五句:tail -f log.txt
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@@ -231,6 +231,7 @@ ASR:
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host: 127.0.0.1
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port: 10096
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is_ssl: true
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api_key: none
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output_dir: tmp/
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SherpaASR:
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type: sherpa_onnx_local
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@@ -25,8 +25,12 @@ class ASRProvider(ASRProviderBase):
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super().__init__()
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self.host = config.get("host", "localhost")
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self.port = config.get("port", 10095)
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self.api_key = config.get('api_key', 'none')
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self.is_ssl = config.get("is_ssl", True)
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self.api_key = config.get("api_key", "none")
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self.is_ssl = str(config.get("is_ssl", True)).lower() in (
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"true",
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"1",
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"yes",
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)
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self.output_dir = config.get("output_dir")
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self.delete_audio_file = delete_audio_file
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self.uri = (
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@@ -132,9 +136,13 @@ class ASRProvider(ASRProviderBase):
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pass
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else:
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file_path = self.save_audio_to_file(pcm_data, session_id)
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auth_header = {'Authorization': 'Bearer; {}'.format(self.api_key)}
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auth_header = {"Authorization": "Bearer; {}".format(self.api_key)}
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async with websockets.connect(
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self.uri, additional_headers=auth_header, subprotocols=["binary"], ping_interval=None, ssl=self.ssl_context
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self.uri,
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additional_headers=auth_header,
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subprotocols=["binary"],
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ping_interval=None,
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ssl=self.ssl_context,
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) as ws:
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try:
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# Use asyncio to handle WebSocket communication
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@@ -159,7 +167,7 @@ class ASRProvider(ASRProviderBase):
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# Get the result from the receive task
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result = receive_task.result()
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match = re.match(r'<\|(.*?)\|><\|(.*?)\|><\|(.*?)\|>(.*)', result)
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match = re.match(r"<\|(.*?)\|><\|(.*?)\|><\|(.*?)\|>(.*)", result)
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if match:
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result = match.group(4).strip()
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return (
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