Added examples

app.py

@@ -29,4 +29,11 @@ def transcribe(audio):
     with torch.cuda.amp.autocast():
         return pipeline({"sampling_rate": sr, "raw": y}, generate_kwargs={"forced_decoder_ids": forced_decoder_ids}, max_new_tokens=255)["text"]
 
-gr.Interface(fn=transcribe, inputs="microphone", outputs="text").launch(share=True)
+examples = [
+    "./examples/audio_1.mp3",
+    "./examples/audio_2.mp3",
+    "./examples/audio_3.mp3",
+    "./examples/audio_4.mp3"
+]
+
+gr.Interface(fn=transcribe, inputs="microphone", outputs="text", examples=examples).launch(share=True)