Update app.py

app.py

@@ -112,8 +112,8 @@ def inference(text):
                 #display.display(display.Image(filename))
     return 'progress_00000.png'
     
-title = "CLIP guided Diffusion"
-description = "Gradio demo for CLIP guided Diffusion. To use it, simply upload your text, or click one of the examples to load them. Read more at the links below."
+title = "CLIP Guided Diffusion"
+description = "Gradio demo for CLIP Guided Diffusion. 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'>By Katherine Crowson (https://github.com/crowsonkb, https://twitter.com/RiversHaveWings). It uses OpenAI's 256x256 unconditional ImageNet diffusion model (https://github.com/openai/guided-diffusion) together with CLIP (https://github.com/openai/CLIP) to connect text prompts with images. | <a href='https://colab.research.google.com/drive/1ED6_MYVXTApBHzQObUPaaMolgf9hZOOF' target='_blank'>Colab</a></p>"
 
 iface = gr.Interface(inference, inputs="text", outputs="image", title=title, description=description, article=article, examples=[["coral reef city by artistation artists"]],