AudioTokenDemo

app.py

@@ -120,7 +120,7 @@ if __name__ == "__main__":
 
     description = """<p>
     This is a demo of <a href='https://pages.cs.huji.ac.il/adiyoss-lab/AudioToken' target='_blank'>AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation</a>.<br><br>
-    In recent years, image generation has shown a great leap in performance, where diffusion models play a central role. Although generating high-quality images, such models are mainly conditioned on textual descriptions. This begs the question: "how can we adopt such models to be conditioned on other modalities?". We propose a novel method utilizing latent diffusion models trained for text-to-image-generation to generate images conditioned on audio recordings. Using a pre-trained audio encoding model, the proposed method encodes audio into a new token, which can be considered as an adaptation layer between the audio and text representations. Such a modeling paradigm requires a small number of trainable parameters, making the proposed approach appealing for lightweight optimization.<br><br>
+    A novel method utilizing latent diffusion models trained for text-to-image-generation to generate images conditioned on audio recordings. Using a pre-trained audio encoding model, the proposed method encodes audio into a new token, which can be considered as an adaptation layer between the audio and text representations.<br><br>
     For more information, please see the original <a href='https://arxiv.org/abs/2305.13050' target='_blank'>paper</a> and <a href='https://github.com/guyyariv/AudioToken' target='_blank'>repo</a>.
     </p>"""