add additional information

app.py

@@ -29,8 +29,13 @@ def inference(path):
     outputs = {config.id2label[i]: float(round(score,2)) for i, score in enumerate(scores)}
     return outputs
 
-examples = ['data/test_audio.wav', 'data/test_audio_2.wav']
 inputs = gr.inputs.Audio(label="Input Audio", type="filepath", source="microphone")
 outputs = gr.outputs.Label(type="confidences", label = "Output Scores")
-iface = gr.Interface(inference, inputs, outputs=["label"], examples=examples)
+title = "Wav2Vec2 Speech Emotion Recognition"
+description = "This is a demo of the Wav2Vec2 Speech Emotion Recognition model. Record an audio clip and the top emotions predicted will be displayed."
+examples = ['data/test_audio.wav', 'data/test_audio_2.wav']
+article = "<a href = 'https://github.com/m3hrdadfi/soxan'> Wav2Vec2 Speech Classification Github Repository"
+
+
+iface = gr.Interface(inference, inputs, outputs, title=title, description=description, article=article, theme="peach", examples=examples)
 iface.launch(debug=True)