update unittest

tests/test_lm_pipeline.py

@@ -0,0 +1,25 @@
+import unittest
+
+from modelscope.pipelines import pipeline
+from modelscope.utils.constant import Tasks
+from modelscope.utils.logger import get_logger
+
+logger = get_logger()
+
+class TestTransformerInferencePipelines(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_inference_pipeline(self):
+        inference_pipeline = pipeline(
+            task=Tasks.language_score_prediction,
+            model='damo/speech_transformer_lm_zh-cn-common-vocab8404-pytorch',
+        )
+        rec_result = inference_pipeline(text_in="hello 大 家 好 呀")
+        logger.info("asr inference result: {0}".format(rec_result))
+
+
+if __name__ == '__main__':
+    unittest.main()