Update app.py

app.py

@@ -26,13 +26,10 @@ inputs = [gr.inputs.Audio(label="Source Audio", type='file'),gr.inputs.Audio(lab
 outputs =  gr.outputs.Audio(label="Output Audio", type='file')
 
 
-title = "VITS"
-description = "demo for VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. To use it, simply add your text, or click 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/2106.06103'>Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech</a> | <a href='https://github.com/jaywalnut310/vits'>Github Repo</a></p>"
-
-examples = [
- ["We propose VITS, Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech."],
- ["Our method adopts variational inference augmented with normalizing flows and an adversarial training process, which improves the expressive power of generative modeling."]   
-]
+title = "VQMIVC"
+description = "Gradio demo for VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion. To use it, simply add 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://arxiv.org/abs/2106.10132' target='_blank'>VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion</a> | <a href='https://github.com/Wendison/VQMIVC' target='_blank'>Github Repo</a></p>"
+
+examples=[['source.wav','ref.wav']]
 
 gr.Interface(inference, inputs, outputs, title=title, description=description, article=article, examples=examples, enable_queue=True).launch()