From d29f201e3201bde6a984e436888a2aae877e449f Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 19 三月 2024 12:04:50 +0800
Subject: [PATCH] vad conf
---
examples/industrial_data_pretraining/lcbnet/demo.py | 27 ++++-----------------------
1 files changed, 4 insertions(+), 23 deletions(-)
diff --git a/examples/industrial_data_pretraining/lcbnet/demo.py b/examples/industrial_data_pretraining/lcbnet/demo.py
index b9d70c7..8b3d493 100755
--- a/examples/industrial_data_pretraining/lcbnet/demo.py
+++ b/examples/industrial_data_pretraining/lcbnet/demo.py
@@ -5,30 +5,11 @@
from funasr import AutoModel
-model = AutoModel(model="iic/LCB-NET")
+model = AutoModel(model="iic/LCB-NET",
+ model_revision="v1.0.0")
-# example1
-#res = model.generate(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
-# )
-#print(res)
+res = model.generate(input=("https://www.modelscope.cn/api/v1/models/iic/LCB-NET/repo?Revision=master&FilePath=example/asr_example.wav","https://www.modelscope.cn/api/v1/models/iic/LCB-NET/repo?Revision=master&FilePath=example/ocr.txt"),data_type=("sound", "text"))
-'''
-# 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)
-'''
+print(res)
--
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