add example

app.py

@@ -6,7 +6,7 @@ from transformers.models.whisper.tokenization_whisper import TO_LANGUAGE_CODE
 title = "Whisper JAX: The Fastest Whisper API ⚡️"
 
 description = "Whisper JAX is an optimised implementation of the [Whisper model](https://huggingface.co/openai/whisper-large-v2) by OpenAI. It runs on JAX with a TPU v4-8 in the backend. Compared to PyTorch on an A100 GPU, it is over **12x** faster, making it the fastest Whisper API available."
-#description += "\nYou can submit requests to Whisper JAX through this Gradio Demo, or directly through API calls (see below). This notebook demonstrates how you can run the Whisper JAX model yourself on a TPU v2-8 in a Google Colab: TODO."
+# description += "\nYou can submit requests to Whisper JAX through this Gradio Demo, or directly through API calls (see below). This notebook demonstrates how you can run the Whisper JAX model yourself on a TPU v2-8 in a Google Colab: TODO."
 
 API_URL = "https://whisper-jax.ngrok.io/generate/"
 
@@ -112,6 +112,7 @@ youtube = gr.Interface(
     ],
     allow_flagging="never",
     title=title,
+    examples=[["https://www.youtube.com/watch?v=m8u-18Q0s7I", "transcribe", False]],
     description=description,
     article=article,
 )