# What is this?
`bareun-apis` is the generated python classes of GRPC API for bareun.ai.
The bareun.ai provides several service for deep learning NLP features.
This api has all of main features, which provides tokenizing, POS tagging for Korean.
It has also customized dictionary service.
## How to install
```shell
pip3 install bareun-apis
```
## How to use
- You can create your own baikal language service client.
- It is used for `bareunlpy`, the official bareun package for python.
```python
from google.protobuf.json_format import MessageToDict
import bareun.language_service_pb2 as pb
import bareun.language_service_pb2_grpc as ls
MAX_MESSAGE_LENGTH = 100*1024*1024
class BareunLanguageServiceClient:
def __init__(self, remote):
channel = grpc.insecure_channel(
remote,
options=[
('grpc.max_send_message_length', MAX_MESSAGE_LENGTH),
('grpc.max_receive_message_length', MAX_MESSAGE_LENGTH),
])
self.stub = ls.LanguageServiceStub(channel)
def analyze_syntax(self, document, auto_split=False):
req = pb.AnalyzeSyntaxRequest()
req.document.content = document
req.document.language = "ko_KR"
req.encoding_type = pb.EncodingType.UTF32
req.auto_split_sentence = auto_split
res = self.stub.AnalyzeSyntax(req)
# print_syntax_as_json(res)
return res
def tokenize(self, document, auto_split=False):
req = pb.TokenizeRequest()
req.document.content = document
req.document.language = "ko_KR"
req.encoding_type = pb.EncodingType.UTF32
req.auto_split_sentence = auto_split
res = self.stub.Tokenize(req)
# print_tokens_as_json(res)
return res
def print_syntax_as_json(res: pb.AnalyzeSyntaxResponse, logf=sys.stdout):
d = MessageToDict(res)
import json
json_str = json.dumps(d, ensure_ascii=False, indent=2)
logf.write(json_str)
logf.write('\n')
def print_tokens_as_json(res: pb.TokenizeResponse, logf=sys.stdout):
d = MessageToDict(res)
import json
json_str = json.dumps(d, ensure_ascii=False, indent=2)
logf.write(json_str)
logf.write('\n')
```
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"description": "# What is this?\n\n`bareun-apis` is the generated python classes of GRPC API for bareun.ai.\n\nThe bareun.ai provides several service for deep learning NLP features.\nThis api has all of main features, which provides tokenizing, POS tagging for Korean.\nIt has also customized dictionary service.\n\n## How to install\n\n```shell\npip3 install bareun-apis\n```\n\n## How to use\n- You can create your own baikal language service client.\n- It is used for `bareunlpy`, the official bareun package for python.\n\n\n```python\nfrom google.protobuf.json_format import MessageToDict\n\nimport bareun.language_service_pb2 as pb\nimport bareun.language_service_pb2_grpc as ls\n\nMAX_MESSAGE_LENGTH = 100*1024*1024\n\nclass BareunLanguageServiceClient:\n\n def __init__(self, remote):\n channel = grpc.insecure_channel(\n remote,\n options=[\n ('grpc.max_send_message_length', MAX_MESSAGE_LENGTH),\n ('grpc.max_receive_message_length', MAX_MESSAGE_LENGTH),\n ])\n\n self.stub = ls.LanguageServiceStub(channel)\n\n def analyze_syntax(self, document, auto_split=False):\n req = pb.AnalyzeSyntaxRequest()\n req.document.content = document\n req.document.language = \"ko_KR\"\n req.encoding_type = pb.EncodingType.UTF32\n req.auto_split_sentence = auto_split\n\n res = self.stub.AnalyzeSyntax(req)\n # print_syntax_as_json(res)\n return res\n\n def tokenize(self, document, auto_split=False):\n req = pb.TokenizeRequest()\n req.document.content = document\n req.document.language = \"ko_KR\"\n req.encoding_type = pb.EncodingType.UTF32\n req.auto_split_sentence = auto_split\n\n res = self.stub.Tokenize(req)\n # print_tokens_as_json(res)\n return res\n\ndef print_syntax_as_json(res: pb.AnalyzeSyntaxResponse, logf=sys.stdout):\n d = MessageToDict(res)\n import json\n json_str = json.dumps(d, ensure_ascii=False, indent=2)\n logf.write(json_str)\n logf.write('\\n')\n\ndef print_tokens_as_json(res: pb.TokenizeResponse, logf=sys.stdout):\n d = MessageToDict(res)\n import json\n json_str = json.dumps(d, ensure_ascii=False, indent=2)\n logf.write(json_str)\n logf.write('\\n')\n\n```\n",
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