From aa45aeeaa7e8abd11bc1be392b4547685645ca5e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E8=AF=AD=E5=B8=86?= <yf352572@alibaba-inc.com>
Date: Mon, 4 Mar 2024 14:29:52 +0800
Subject: [PATCH] atsr

---
 .../lcbnet/demp.py                            | 35 +++++++++++++++++++
 1 file changed, 35 insertions(+)
 create mode 100644 examples/industrial_data_pretraining/lcbnet/demp.py

diff --git a/examples/industrial_data_pretraining/lcbnet/demp.py b/examples/industrial_data_pretraining/lcbnet/demp.py
new file mode 100644
index 000000000..cb08290b4
--- /dev/null
+++ b/examples/industrial_data_pretraining/lcbnet/demp.py
@@ -0,0 +1,35 @@
+#!/usr/bin/env python3
+# -*- encoding: utf-8 -*-
+# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
+#  MIT License  (https://opensource.org/licenses/MIT)
+
+from funasr import AutoModel
+
+model = AutoModel(model="iic/LCB-NET"
+                  )
+
+
+# example1
+#res = model.generate(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
+                    )
+#print(res)
+
+
+'''
+# tensor or numpy as input
+# example2
+import torchaudio
+import os
+wav_file = os.path.join(model.model_path, "example/asr_example.wav")
+input_tensor, sample_rate = torchaudio.load(wav_file)
+input_tensor = input_tensor.mean(0)
+res = model.generate(input=[input_tensor], batch_size_s=300, is_final=True)
+
+
+# example3
+import soundfile
+
+wav_file = os.path.join(model.model_path, "example/asr_example.wav")
+speech, sample_rate = soundfile.read(wav_file)
+res = model.generate(input=[speech], batch_size_s=300, is_final=True)
+'''