diff --git a/egs_modelscope/speaker_diarization/speech_diarization_eend-ola-en-us-callhome-8k/infer.py b/egs_modelscope/speaker_diarization/speech_diarization_eend-ola-en-us-callhome-8k/infer.py
index dfcb8e649..e0ac08ced 100644
--- a/egs_modelscope/speaker_diarization/speech_diarization_eend-ola-en-us-callhome-8k/infer.py
+++ b/egs_modelscope/speaker_diarization/speech_diarization_eend-ola-en-us-callhome-8k/infer.py
@@ -2,8 +2,9 @@ from modelscope.pipelines import pipeline
 from modelscope.utils.constant import Tasks
 
 inference_diar_pipline = pipeline(
-    task=Tasks.speaker_diarization,
+    task=Tasks.auto_speech_recognition,
     model='damo/speech_diarization_eend-ola-en-us-callhome-8k',
     model_revision="v1.0.0",
 )
-results = inference_diar_pipline(audio_in=["https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/record.wav"])
\ No newline at end of file
+results = inference_diar_pipline(audio_in=["https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/record2.wav"])
+print(results)
\ No newline at end of file
diff --git a/funasr/bin/asr_inference_launch.py b/funasr/bin/asr_inference_launch.py
index 1fae766ea..0ab6b1ad3 100644
--- a/funasr/bin/asr_inference_launch.py
+++ b/funasr/bin/asr_inference_launch.py
@@ -234,6 +234,9 @@ def inference_launch(**kwargs):
     elif mode == "rnnt":
         from funasr.bin.asr_inference_rnnt import inference_modelscope
         return inference_modelscope(**kwargs)
+    elif mode == "eend-ola":
+        from funasr.bin.eend_ola_inference import inference_modelscope
+        return inference_modelscope(mode=mode, **kwargs)
     else:
         logging.info("Unknown decoding mode: {}".format(mode))
         return None
diff --git a/funasr/bin/eend_ola_inference.py b/funasr/bin/eend_ola_inference.py
index b35824aaa..048327856 100755
--- a/funasr/bin/eend_ola_inference.py
+++ b/funasr/bin/eend_ola_inference.py
@@ -16,8 +16,8 @@ from typing import Union
 
 import numpy as np
 import torch
-from typeguard import check_argument_types
 from scipy.signal import medfilt
+from typeguard import check_argument_types
 
 from funasr.models.frontend.wav_frontend import WavFrontendMel23
 from funasr.tasks.diar import EENDOLADiarTask
@@ -28,6 +28,7 @@ from funasr.utils.types import str2bool
 from funasr.utils.types import str2triple_str
 from funasr.utils.types import str_or_none
 
+
 class Speech2Diarization:
     """Speech2Diarlization class
 
@@ -237,7 +238,7 @@ def inference_modelscope(
             results = speech2diar(**batch)
 
             # post process
-            a = results[0].cpu().numpy()
+            a = results[0][0].cpu().numpy()
             a = medfilt(a, (11, 1))
             rst = []
             for spkid, frames in enumerate(a.T):
@@ -246,8 +247,8 @@ def inference_modelscope(
                 fmt = "SPEAKER {:s} 1 {:7.2f} {:7.2f} <NA> <NA> {:s} <NA>"
                 for s, e in zip(changes[::2], changes[1::2]):
                     st = s / 10.
-                    ed = e / 10.
-                    rst.append(fmt.format(keys[0], st, ed, "{}_{}".format(keys[0],str(spkid))))
+                    dur = (e - s) / 10.
+                    rst.append(fmt.format(keys[0], st, dur, "{}_{}".format(keys[0], str(spkid))))
 
             # Only supporting batch_size==1
             value = "\n".join(rst)