first try

app.py

@@ -183,14 +183,12 @@ def to_base64(pil_image):
     pil_image.save(buffered, format="JPEG")
     return base64.b64encode(buffered.getvalue())
 
-title = "Interactive demo: glide-text2im"
-description = "Demo for OpenAI's GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models."
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2112.10741'>GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models</a> | <a href='https://github.com/openai/glide-text2im/'>Official Repo</a></p>"
-examples =["an oil painting of a corgi"]
+title = "glide test"
+description = "text conditioned image generation demo using openai's GLIDE model (text-guided diffusion model) https://arxiv.org/abs/2112.10741 & https://github.com/openai/glide-text2im/. should take ~500s to run. credit to valhalla for gradio template https://huggingface.co/spaces/valhalla/."
 
 iface = gr.Interface(fn=sample, 
-                     inputs=gr.inputs.Textbox(label='What would you like to see?'), 
-                     outputs=gr.outputs.Image(type="pil", label="Model input + completions"),
+                     inputs=gr.inputs.Textbox(label='enter text'), 
+                     outputs=gr.outputs.Image(type="pil", label="model input + completions"),
                      title=title,
                      description=description,
                      article=article,

app.py~

@@ -1,4 +1,3 @@
-
 import os
 os.system('pip install -e .')
 import gradio as gr
@@ -24,6 +23,10 @@ from glide_text2im.model_creation import (
 # On CPU, generating one sample may take on the order of 20 minutes.
 # On a GPU, it should be under a minute.
 
+"""
+credit: follows the gradio glide example by valhalla https://huggingface.co/spaces/valhalla/glide-text2im
+"""
+
 has_cuda = th.cuda.is_available()
 device = th.device('cpu' if not has_cuda else 'cuda')
 
@@ -180,17 +183,15 @@ def to_base64(pil_image):
     pil_image.save(buffered, format="JPEG")
     return base64.b64encode(buffered.getvalue())
 
-title = "Interactive demo: glide-text2im"
-description = "Demo for OpenAI's GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models."
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2112.10741'>GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models</a> | <a href='https://github.com/openai/glide-text2im/'>Official Repo</a></p>"
-examples =["an oil painting of a corgi"]
+title = "glide test"
+description = "text conditioned image generation demo using openai's GLIDE model (text-guided diffusion model) https://arxiv.org/abs/2112.10741 & https://github.com/openai/glide-text2im/. Credit to valhalla for gradio template https://huggingface.co/spaces/valhalla/."
 
 iface = gr.Interface(fn=sample, 
-                     inputs=gr.inputs.Textbox(label='What would you like to see?'), 
-                     outputs=gr.outputs.Image(type="pil", label="Model input + completions"),
+                     inputs=gr.inputs.Textbox(label='enter text'), 
+                     outputs=gr.outputs.Image(type="pil", label="model input + completions"),
                      title=title,
                      description=description,
                      article=article,
                      examples=examples,
                      enable_queue=True)
-iface.launch(debug=True)
+iface.launch(debug=True)