Add examples and description.

app.py

@@ -35,12 +35,20 @@ def transcribe(audio_file_mic=None, audio_file_upload=None, language="eng"):
 
 languages = list(processor.tokenizer.vocab.keys())
 
+examples = [["kab_1.mp3", None, "kab"],
+            ["kab_2.mp3", None, "kab"]]
+
+description = '''Automatic Speech Recognition with [MMS](https://ai.facebook.com/blog/multilingual-model-speech-recognition/) (Massively Multilingual Speech) by Meta.
+Supports [1162 languages](https://dl.fbaipublicfiles.com/mms/misc/language_coverage_mms.html). Read the paper for more details: [Scaling Speech Technology to 1,000+ Languages](https://arxiv.org/abs/2305.13516).'''
+
 iface = gr.Interface(fn=transcribe,
                      inputs=[
                          gr.Audio(source="microphone", type="filepath"),
                          gr.Audio(source="upload", type="filepath"),
                          gr.Dropdown(choices=languages, label="Language", value="eng")
                          ],
-                     outputs=["textbox"]
+                     outputs=["textbox"],
+                     examples=examples,
+                     description=description
                      )
 iface.launch()