From e9d2cfc3a134b00f4e98271fbee3838d1ccecbcc Mon Sep 17 00:00:00 2001
From: VirtuosoQ <2416050435@qq.com>
Date: 星期五, 26 四月 2024 14:59:30 +0800
Subject: [PATCH] FunASR java http  client

---
 README.md |    9 +++++----
 1 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index e7ff1b1..faa758c 100644
--- a/README.md
+++ b/README.md
@@ -14,6 +14,7 @@
 | [**News**](https://github.com/alibaba-damo-academy/FunASR#whats-new) 
 | [**Installation**](#installation)
 | [**Quick Start**](#quick-start)
+| [**Tutorial**](https://github.com/alibaba-damo-academy/FunASR/blob/main/docs/tutorial/README.md)
 | [**Runtime**](./runtime/readme.md)
 | [**Model Zoo**](#model-zoo)
 | [**Contact**](#contact)
@@ -67,7 +68,7 @@
 ```
 
 ## Model Zoo
-FunASR has open-sourced a large number of pre-trained models on industrial data. You are free to use, copy, modify, and share FunASR models under the [Model License Agreement](./MODEL_LICENSE). Below are some representative models, for more models please refer to the [Model Zoo]().
+FunASR has open-sourced a large number of pre-trained models on industrial data. You are free to use, copy, modify, and share FunASR models under the [Model License Agreement](./MODEL_LICENSE). Below are some representative models, for more models please refer to the [Model Zoo](./model_zoo).
 
 (Note: 猸� represents the ModelScope model zoo, 馃 represents the Huggingface model zoo, 馃崁 represents the OpenAI model zoo)
 
@@ -154,7 +155,7 @@
 from funasr import AutoModel
 
 model = AutoModel(model="fsmn-vad")
-wav_file = f"{model.model_path}/example/asr_example.wav"
+wav_file = f"{model.model_path}/example/vad_example.wav"
 res = model.generate(input=wav_file)
 print(res)
 ```
@@ -207,8 +208,8 @@
 res = model.generate(input=(wav_file, text_file), data_type=("sound", "text"))
 print(res)
 ```
-
-More examples ref to [docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/examples/industrial_data_pretraining)
+More usages ref to [docs](docs/tutorial/README_zh.md), 
+more examples ref to [demo](https://github.com/alibaba-damo-academy/FunASR/tree/main/examples/industrial_data_pretraining)
 
 
 ## Export ONNX

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