Updated the welcome message

app.py

@@ -8,16 +8,38 @@ import torchaudio
 from pathlib import Path
 from whisperspeech.pipeline import Pipeline
 
-title = """# 🙋🏻‍♂️ Welcome to🌟Collabora🌬️💬📝WhisperSpeech
+title = """# 🙋🏻‍♂️ Welcome to Collabora's WhisperSpeech
 
-You can use this ZeroGPU Space to test out the current model [🌬️💬📝collabora/whisperspeech](https://huggingface.co/collabora/whisperspeech). 🌬️💬📝collabora/whisperspeech is An Open Source text-to-speech system built by inverting Whisper. Install it and use your command line interface locally with `pip install whisperspeech`. It's like Stable Diffusion but for speech – both powerful and easily customizable : so you can use it programmatically in your own pipelines! [Contribute to whisperspeech here](https://github.com/collabora/WhisperSpeech) 
-You can also use 🌬️💬📝WhisperSpeech by cloning this space. 🧬🔬🔍 Simply click here: <a style="display:inline-block" href="https://huggingface.co/spaces/Tonic/laion-whisper?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a></h3> 
+WhisperSpeech is an Open Source text-to-speech system built by Collabora and LAION by inverting Whisper.
+The model is fully open and you can run it on your local hardware. It's like **Stable Diffusion but for speech**
+– both powerful and easily customizable.
 
-We're **celebrating the release of the whisperspeech** at [the LAION community, if you love open source ai learn more here : https://laion.ai/](https://laion.ai/) big thanks to the folks at huggingface for the community grant 🤗
+To use it locally:
 
-### How to Use
-Input text with tahe language identifiers provided to create a multilingual speech. Optionally you can add an audiosample to make a voice print.Scroll down and try the api <3 Gradio.
-This space runs on ZeroGPU, so **you need to be patient** while you acquire the GPU and load the model the first time you make a request !
+```
+pip install -U WhisperSpeech
+```
+
+and later:
+
+```
+from whisperspeech.pipeline import Pipeline
+
+pipe = Pipeline(torch_compile=True)
+pipe.generate_to_file("output.wav", "Hello from WhisperSpeech.")
+```
+
+[Contribute to WhisperSpeech on ![Static Badge](https://img.shields.io/badge/GitHub-blue)](https://github.com/collabora/WhisperSpeech)
+or join discussion on [![](https://dcbadge.vercel.app/api/server/FANw4rHD5E)](https://discord.gg/FANw4rHD5E) or on
+[![Static Badge](https://img.shields.io/badge/GitHub-Discussions-green)](https://github.com/collabora/WhisperSpeech/discussions).
+
+Huge thanks to [Tonic](https://huggingface.co/Tonic) who helped build this Space for WhisperSpeech.
+
+### How to Use It
+
+Write you text in the box, you can use language tags (`<en>` or `<pl>`) to create multilingual speech.
+Optionally you can upload a speech sample or give it a file URL to clone an existing voice. Check out the
+examples at the bottom of the page for inspiration.
 """