32 lines
941 B
Python
32 lines
941 B
Python
import logging.config
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from flask import Flask, request
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from paddlenlp import Taskflow
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from log import LOGGING_CONFIG
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from utils import process_request
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app = Flask(__name__)
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schema = ['基本医保结算单', '出院记录', '费用清单']
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CLAS = Taskflow('zero_shot_text_classification', model='utc-xbase', schema=schema,
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task_path='model/text_classification', precision='fp32')
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@app.route('/', methods=['POST'])
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@process_request
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def main():
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text = request.form.get('text')
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cls_result = CLAS(text)
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cls_result = cls_result[0].get('predictions')
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if cls_result:
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cls_result = cls_result[0]
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if cls_result['score'] and float(cls_result['score']) < 0.8:
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logging.info(f"识别结果置信度{cls_result['score']}过低！text: {text}")
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return None
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return cls_result['label']
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if __name__ == '__main__':
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logging.config.dictConfig(LOGGING_CONFIG)
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app.run('0.0.0.0', 5008)
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