Update app.py

app.py

@@ -164,7 +164,7 @@ iface = gr.Interface(fn=gen_ims,
   examples=[["An iceberg, oil on canvas"],["A martian landscape, in the style of Monet"], ['A peaceful meadow, pastel crayons'], ["A painting of a vase of flowers"], ["A ship leaving the port in the summer, oil on canvas"]],
   title='Generate art from text prompts :',
   description="By typing a text prompt or providing an image prompt, and pressing submit you can generate images based on this prompt. The model was trained on images from the [WikiArt](https://huggingface.co/datasets/huggan/wikiart) dataset, comprised mostly of paintings.",
-  article = 'The model is a distilled version of a cloob-conditioned latent diffusion model fine-tuned on the WikiArt dataset. You can find more information on this model on the [model card](https://huggingface.co/huggan/distill-ccld-wa)..'
+  article = 'The model is a distilled version of a cloob-conditioned latent diffusion model fine-tuned on the WikiArt dataset. You can find more information on this model on the [model card](https://huggingface.co/huggan/distill-ccld-wa). The student model training and this demo were done by [@gigant](https://huggingface.co/gigant). The teacher model was trained by [@johnowhitaker](https://huggingface.co/johnowhitaker)'
 
 )
 iface.launch(enable_queue=True) # , debug=True for colab debugging