RC3

Even better text

app.py

@@ -90,6 +90,6 @@ iface = gr.Interface(fn=run, inputs=[
     outputs=[image,gr.outputs.Textbox(label="Error")],
     css=css,
     title="Generate images from text with ruDALLE",
-    description="<div>By typing a prompt and pressing submit you can generate images based on this prompt. <a href='https://github.com/ai-forever/ru-dalle' target='_blank'>ruDALLE</a> is an open source text-to-image model, this Arbitrary Aspect Ratio implementation was created by <a href='https://github.com/shonenkov-AI' target='_blank'>Alex Shonenkov</a><br>This Spaces UI to the model was assembled by <a style='color: rgb(99, 102, 241);font-weight:bold' href='https://twitter.com/multimodalart' target='_blank'>@multimodalart</a>, keep up with the <a style='color: rgb(99, 102, 241);' href='https://multimodal.art/news'>latest multimodal ai art news here</a> and consider <a style='color: rgb(99, 102, 241);' href='https://www.patreon.com/multimodalart'>supporting us on Patreon</a></div>",
+    description="<div>By typing a prompt and pressing submit you generate images based on it. <a href='https://github.com/ai-forever/ru-dalle' target='_blank'>ruDALLE</a> is an open source text-to-image model, this Arbitrary Aspect Ratio implementation was created by <a href='https://github.com/shonenkov-AI' target='_blank'>Alex Shonenkov</a><br>This Spaces UI to the model was assembled by <a style='color: rgb(99, 102, 241);font-weight:bold' href='https://twitter.com/multimodalart' target='_blank'>@multimodalart</a>, keep up with the <a style='color: rgb(99, 102, 241);' href='https://multimodal.art/news'>latest multimodal ai art news here</a> and consider <a style='color: rgb(99, 102, 241);' href='https://www.patreon.com/multimodalart'>supporting us on Patreon</a></div>",
     article="<h4 style='font-size: 110%;margin-top:.5em'>Biases acknowledgment</h4><div>Despite how impressive being able to turn text into image is, beware to the fact that this model may output content that reinforces or exarcbates societal biases. According to the <a href='https://arxiv.org/abs/2112.10752' target='_blank'>Latent Diffusion paper</a>:<i> \"Deep learning modules tend to reproduce or exacerbate biases that are already present in the data\"</i>. The models are meant to be used for research purposes, such as this one.</div><h4 style='font-size: 110%;margin-top:1em'>Who owns the images produced by this demo?</h4><div>Definetly not me! Probably you do. I say probably because the Copyright discussion about AI generated art is ongoing. So <a href='https://www.theverge.com/2022/2/21/22944335/us-copyright-office-reject-ai-generated-art-recent-entrance-to-paradise' target='_blank'>it may be the case that everything produced here falls automatically into the public domain</a>. But in any case it is either yours or is in the public domain.</div>")
 iface.launch(enable_queue=True)