Update app.py

app.py

@@ -10,6 +10,9 @@ import librosa.display
 import matplotlib.pyplot as plt
 import gradio as gr
 
+import wget
+url = 'https://github.com/AK391/fairseq/blob/master/poem.wav'
+wget.download(url)
 lang = 'multilingual'
 fs = 16000 
 tag = 'ftshijt/open_li52_asr_train_asr_raw_bpe7000_valid.acc.ave_10best' 
@@ -44,7 +47,9 @@ title = "wav2vec 2.0"
 description = "Gradio demo for Real-time ASR with ESPnet2. To use it, simply upload your audio, or click one of the examples to load them. Read more at the links below."
 article = "<p style='text-align: center'><a href='https://espnet.github.io/espnet/'>ESPnet: end-to-end speech processing toolkit</a> | <a href='https://github.com/espnet/espnet'>Github Repo</a></p>"
 
-
-gr.Interface(inference, inputs, outputs, title=title, description=description, article=article).launch()
+examples = [
+    ["poem.wav"]
+]
+gr.Interface(inference, inputs, outputs, title=title, description=description, article=article,examples=examples).launch()