Update app.py

app.py

@@ -43,4 +43,8 @@ def inference(text):
   torchaudio.save("output_waveglow.wav", waveforms[0:1].cpu(), sample_rate=22050)
   return "output_waveglow.wav"
   
-gr.Interface(inference,"text",gr.outputs.Audio(type="file")).launch(debug=True)
+title="TACOTRON 2"
+description="Gradio demo for TACOTRON 2: The Tacotron 2 model for generating mel spectrograms from text. To use it, simply add you text or click on one of the examples to load them. Read more at the links below."
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1712.05884' target='_blank'>Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions</a> | <a href='https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2' target='_blank'>Github Repo</a></p>"
+examples=[["life is like a box of chocolates"]]
+gr.Interface(inference,"text",gr.outputs.Audio(type="file"),title=title,description=description,article=article,examples=examples).launch(enable_queue=True)