yanjia0 commited on
Commit
67dc63a
·
1 Parent(s): 57f9bf5

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +5 -3
README.md CHANGED
@@ -31,8 +31,8 @@ Welcome to Team 3's Tone Evaluation project! This repository contains the necess
31
  - Use this script to evaluate the performance of our trained model on test data.
32
  - Currenty, we set the model to only accepct wav format audio, and after loading the audio, model will predict the tone sequence for the sentence.
33
 
34
- - **UI Demo**: [ui_space](https://huggingface.co/spaces/CS5647Team3/Mandarin_Tone_Evaluation)
35
- - Explore the user interface demo to interact with the tone evaluation model.
36
  - You can upload wav format audio to our UI and see the evaluation result. We also provided some audio files for you to directly use.
37
 
38
  ## Dataset
@@ -46,7 +46,9 @@ Additionally, we offer a text file for Pinyin encoding: [pinyin.txt](https://hug
46
 
47
  ## Getting Started
48
 
49
- Follow these steps to get started with our project:
 
 
50
 
51
  1. Clone this repository to your local machine.
52
  2. Run the data processing script: `python data_processing.py`
 
31
  - Use this script to evaluate the performance of our trained model on test data.
32
  - Currenty, we set the model to only accepct wav format audio, and after loading the audio, model will predict the tone sequence for the sentence.
33
 
34
+ - **UI Demo**: [app.py](https://huggingface.co/spaces/CS5647Team3/Mandarin_Tone_Evaluation/blob/main/app.py)
35
+ - Run this file to explore the user interface demo to interact with the tone evaluation model.
36
  - You can upload wav format audio to our UI and see the evaluation result. We also provided some audio files for you to directly use.
37
 
38
  ## Dataset
 
46
 
47
  ## Getting Started
48
 
49
+ To directly view the UI demo, just go to our space and click "App" tab on the top right.
50
+
51
+ Otherwise, follow these steps to get started with our project:
52
 
53
  1. Clone this repository to your local machine.
54
  2. Run the data processing script: `python data_processing.py`