From 4870f0f8a5f3ae9072a56b6f320ba7ebcfaf4373 Mon Sep 17 00:00:00 2001
From: Binbin Gu <gubinbin@outlook.com>
Date: 星期五, 02 六月 2023 11:51:02 +0800
Subject: [PATCH] Update cardinal.py (#562)
---
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-tr-16k-common-vocab1582-pytorch/infer.py | 16 ++++++++++++++++
1 files changed, 16 insertions(+), 0 deletions(-)
diff --git a/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-tr-16k-common-vocab1582-pytorch/infer.py b/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-tr-16k-common-vocab1582-pytorch/infer.py
index 35e8aea..a0f0965 100644
--- a/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-tr-16k-common-vocab1582-pytorch/infer.py
+++ b/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-tr-16k-common-vocab1582-pytorch/infer.py
@@ -1,3 +1,4 @@
+<<<<<<< HEAD
import os
import shutil
import argparse
@@ -26,3 +27,18 @@
parser.add_argument('--gpuid', type=str, default="0")
args = parser.parse_args()
modelscope_infer(args)
+=======
+from modelscope.pipelines import pipeline
+from modelscope.utils.constant import Tasks
+
+if __name__ == "__main__":
+ audio_in = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_tr.wav"
+ output_dir = "./results"
+ inference_pipeline = pipeline(
+ task=Tasks.auto_speech_recognition,
+ model="damo/speech_UniASR_asr_2pass-tr-16k-common-vocab1582-pytorch",
+ output_dir=output_dir,
+ )
+ rec_result = inference_pipeline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
+ print(rec_result)
+>>>>>>> main
--
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