Added some examples

app.py

@@ -1,11 +1,18 @@
 #%%
 from huggingface_hub import login
 from transformers import pipeline
+from datasets import load_dataset
 import gradio as gr
 import os
 
 login(token=os.environ['hf_token'])
 
+atco2 = load_dataset('jlvdoorn/atco2', split='validation')
+atcosim = load_dataset('jlvdoorn/atcosim', split='validation')
+
+examples = [atco2[0]['audio'], atcosim[0]['audio'], atco2[1]['audio'], atcosim[1]['audio'], atco2[2]['audio'], atcosim[2]['audio']]
+examples_labels = ['Example ' + str(i) for i in len(examples)]
+
 ## Try to load a local model if available
 # try:
 #     whisper = pipeline(model='/mnt/projects/whisper/WhisperANSP/Models/whisper-large-v2-atco2-asr-atcosim-ANSP-3h1m', task='automatic-speech-recognition')
@@ -79,6 +86,7 @@ iface = gr.Interface(
         outputs=[gr.Text(label='Transcription'), gr.Text(label='Callsigns, commands and values')],
         title='Whisper ATC - Large v3',
         description='Transcribe and extract',
+        examples = examples,
 )
 
 #%%