From d9e60d9ddc92ab5746842b5a2b6f7a423de2a795 Mon Sep 17 00:00:00 2001
From: 语帆 <yf352572@alibaba-inc.com>
Date: 星期一, 04 三月 2024 16:44:31 +0800
Subject: [PATCH] atsr
---
examples/industrial_data_pretraining/lcbnet/demo.py | 26 ++------------------------
1 files changed, 2 insertions(+), 24 deletions(-)
diff --git a/examples/industrial_data_pretraining/lcbnet/demo.py b/examples/industrial_data_pretraining/lcbnet/demo.py
index 602a986..ac679ce 100755
--- a/examples/industrial_data_pretraining/lcbnet/demo.py
+++ b/examples/industrial_data_pretraining/lcbnet/demo.py
@@ -6,30 +6,8 @@
from funasr import AutoModel
model = AutoModel(model="iic/LCB-NET",
- model_revision="v1.0.0")
+ model_revision="v2.0.0")
-
-# example1
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"))
-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)
-'''
+print(res)
\ No newline at end of file
--
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