update unittest

tests/test_asr_inference_pipeline.py

@@ -359,6 +359,24 @@ class TestUniasrInferencePipelines(unittest.TestCase):
             param_dict={"decoding_model": "offline"})
         logger.info("asr inference result: {0}".format(rec_result))
 
+    def test_uniasr_2pass_pt_common_offline(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-offline')
+        rec_result = inference_pipeline(
+            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_pt.wav',
+            param_dict={"decoding_model": "offline"})
+        logger.info("asr inference result: {0}".format(rec_result))
+
+    def test_uniasr_2pass_pt_common_online(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-online')
+        rec_result = inference_pipeline(
+            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_pt.wav',
+            param_dict={"decoding_model": "normal"})
+        logger.info("asr inference result: {0}".format(rec_result))
+
 
 if __name__ == '__main__':
     unittest.main()