Metadata-Version: 2.1
Name: whisper-evaluate
Version: 1.2.0
Summary: Evaluate the effectiveness of the Whisper model.
Home-page: https://git.xindong.com/fengyanglu/whisper-evaluate
Author: geb
Author-email: 853934146@qq.com
License: UNKNOWN
Description: # whisper-evaluate
        
        Evaluate the effectiveness of the Whisper model.
        
        ## Install
        从pypi安装:
        ```shell script
        pip install whisper-evaluate
        ```
        从本地安装:
        ```shell script
        git clone https://git.xindong.com/fengyanglu/whisper-evaluate.git
        cd whisper-evaluate
        pip install dist/whisper_evaluate-1.2.0-py3-none-any.whl
        ```
        
        ## How to use
        参考[test.py](./test.py)
        ```shell script
        from whisper_evaluate import Report
        import pprint
        
        if __name__ == '__main__':
            # 设置参数: 任务名称
            rep = Report("test")
            # 生成评估报告
            
            result = rep.report("test_data/test-data-standard-latest.csv",
                           "test_data/test-data-standard-latest-whisper1.1-res.txt",
                           "test_data/test_antispam_0727.txt")
            pprint.pprint(result)
            # 保存统计备查数据 和 计算结果
            rep.save()
            
        
        
            # 单独计算whisper结果
            result = rep.whisper_report("test_data/test-data-standard-latest.csv",
                           "test_data/test-data-standard-latest-whisper1.1-res.txt")
            pprint.pprint(result)
            
            # 单独计算netease结果
            result = rep.netease_report("test_data/test-data-standard-latest.csv",
                           "test_data/test_antispam_0727.txt")
            pprint.pprint(result)
        
            
        ```
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
