Public Colab demo link; simpler demo header

README.md

@@ -29,6 +29,8 @@ audio in 120 ms chunks and runs about 9x faster than real time on one CPU thread
 The same weights also do voice conversion: give it speech instead of text and it says the same words in
 another voice.
 
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1dp4ivPg2DGctGV7joEYKY_El8aIoBxuS)
+
 Silencio is built on two open models. The text front-end comes from
 [Paradee-8M v1.1](https://huggingface.co/sahilmahendrakar/Paradee-8M-v1.1) by Sahil Mahendrakar,
 itself distilled from [Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M) by hexgrad. The
@@ -68,8 +70,9 @@ comes from the voice embedding.
 
 ### Try it in Colab
 
-Download [`Silencio_demo.ipynb`](Silencio_demo.ipynb), open it in [Colab](https://colab.research.google.com)
-(File → Upload notebook) and run all cells. It opens a Gradio demo with text to speech, voice cloning
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1dp4ivPg2DGctGV7joEYKY_El8aIoBxuS)
+
+Open the [demo notebook](https://colab.research.google.com/drive/1dp4ivPg2DGctGV7joEYKY_El8aIoBxuS) and run all cells. It opens a Gradio demo with text to speech, voice cloning
 from the microphone or a file, and voice conversion.
 
 ### Install