update

tests/test_inference_pipeline.py

@@ -1,47 +0,0 @@
-import unittest
-
-from modelscope.pipelines import pipeline
-from modelscope.utils.constant import Tasks
-from modelscope.utils.logger import get_logger
-
-logger = get_logger()
-
-class TestInferencePipelines(unittest.TestCase):
-    def test_funasr_path(self):
-        import funasr
-        import os
-        logger.info("run_dir:{0} ; funasr_path: {1}".format(os.getcwd(), funasr.__file__))
-
-    def test_asr_inference_pipeline(self):
-        inference_pipeline = pipeline(
-            task=Tasks.auto_speech_recognition,
-            model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')
-        rec_result = inference_pipeline(
-            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav')
-        logger.info("asr inference result: {0}".format(rec_result))
-
-    def test_asr_inference_pipeline_with_vad_punc(self):
-        inference_pipeline = pipeline(
-            task=Tasks.auto_speech_recognition,
-            model='damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
-            vad_model='damo/speech_fsmn_vad_zh-cn-16k-common-pytorch',
-            vad_model_revision="v1.1.8",
-            punc_model='damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch',
-            punc_model_revision="v1.1.6")
-        rec_result = inference_pipeline(
-            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_vad_punc_example.wav')
-        logger.info("asr inference with vad punc result: {0}".format(rec_result))
-
-    def test_vad_inference_pipeline(self):
-        inference_pipeline = pipeline(
-            task=Tasks.voice_activity_detection,
-            model='damo/speech_fsmn_vad_zh-cn-16k-common-pytorch',
-            model_revision='v1.1.8',
-        )
-        segments_result = inference_pipeline(
-            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example.wav')
-        logger.info("vad inference result: {0}".format(segments_result))
-
-
-if __name__ == '__main__':
-    unittest.main()