Xenova HF staff commited on
Commit
1ee0252
1 Parent(s): be2eb82

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +46 -3
README.md CHANGED
@@ -1,12 +1,55 @@
1
  ---
2
- title: Text To Speech Webgpu
3
- emoji: 🐨
4
  colorFrom: indigo
5
  colorTo: purple
6
  sdk: static
7
  pinned: false
8
  license: apache-2.0
9
  short_description: WebGPU text-to-Speech powered by OuteTTS and Transformers.js
 
 
10
  ---
11
 
12
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ title: Text-to-Speech WebGPU
3
+ emoji: 🗣️
4
  colorFrom: indigo
5
  colorTo: purple
6
  sdk: static
7
  pinned: false
8
  license: apache-2.0
9
  short_description: WebGPU text-to-Speech powered by OuteTTS and Transformers.js
10
+ thumbnail: >-
11
+ https://huggingface.co/spaces/webml-community/text-to-speech-webgpu/resolve/main/banner.png
12
  ---
13
 
14
+
15
+ # Text-to-Speech WebGPU
16
+
17
+ A simple React + Vite application for running [OuteTTS](https://github.com/edwko/OuteTTS), an experimental text-to-speech model that uses a pure language modeling approach to generate speech, using Transformers.js and WebGPU-acceleration.
18
+
19
+ ## Getting Started
20
+
21
+ Follow the steps below to set up and run the application.
22
+
23
+ ### 1. Clone the Repository
24
+
25
+ Clone the examples repository from GitHub:
26
+
27
+ ```sh
28
+ git clone https://github.com/huggingface/transformers.js-examples.git
29
+ ```
30
+
31
+ ### 2. Navigate to the Project Directory
32
+
33
+ Change your working directory to the `text-to-speech-webgpu` folder:
34
+
35
+ ```sh
36
+ cd transformers.js-examples/text-to-speech-webgpu
37
+ ```
38
+
39
+ ### 3. Install Dependencies
40
+
41
+ Install the necessary dependencies using npm:
42
+
43
+ ```sh
44
+ npm i
45
+ ```
46
+
47
+ ### 4. Run the Development Server
48
+
49
+ Start the development server:
50
+
51
+ ```sh
52
+ npm run dev
53
+ ```
54
+
55
+ The application should now be running locally. Open your browser and go to `http://localhost:5173` to see it in action.