Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-title: H2O Wave Whisper
+title: H2O Wave Transformers
 emoji: 📝
 colorFrom: yellow
 colorTo: gray
@@ -8,73 +8,4 @@ app_port: 7860
 duplicated_from: h2oai/h2o_wave_whisper
 ---
 
-<div align='center'>
-
-<h1>WaveTon</h1>
-💯 Wave applications
-
-<br>
-<br>
-
-[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg?logo=apache)](https://github.com/vopani/waveton/blob/master/LICENSE)
-[![GitHub](https://img.shields.io/github/stars/vopani/waveton?color=yellowgreen&logo=github)](https://img.shields.io/github/stars/vopani/waveton?color=yellowgreen&logo=github)
-[![Twitter](https://img.shields.io/twitter/follow/vopani)](https://twitter.com/vopani)
-
-</div>
-
-## Whisper 🖥️
-
-Speech to text using OpenAI's Whisper model.
-
-![](demo.gif)
-
-## Setup ⚙️
-
-1. Check the version of Python, must be Python 3.9+ but recommended to use Python 3.10+ for best experience
-
-```commandline
-python3 --version
-```
-
-2. Clone the repository
-
-```commandline
-git clone https://github.com/vopani/waveton.git
-```
-
-3. Create a virtual environment
-
-```commandline
-cd waveton/apps/deeplearning_apps/whisper
-python3 -m venv venv
-source venv/bin/activate
-```
-
-4. Install ffmpeg
-
-On Linux:
-
-```commandline
-sudo apt update && sudo apt install ffmpeg
-```
-
-On Mac:
-
-```commandline
-brew install ffmpeg                         
-```
-
-5. Install the packages
-
-```commandline
-python3 -m pip install -U pip
-python3 -m pip install -r requirements.txt
-```
-
-6. Run the application
-
-```commandline
-wave run app
-```
-
-7. View the application on your local browser: [http://localhost:10101](http://localhost:10101)
+Demo of using Transformers with H2O wave