minor readme changes

app.py

@@ -263,7 +263,7 @@ def inpaint(input_img, prompt):
 gradio_inputs = [gr.inputs.Image(type='pil',
                                  label="Input Image",
                                  image_mode="RGBA"),
-                 gr.inputs.Textbox(label='Conditional Text to Inpaint')]
+                 gr.inputs.Textbox(label='Text Prompt')]
 
 # gradio_outputs = [gr.outputs.Image(label='Auto-Detected Mask (From drawn black pixels)')]
 
@@ -272,9 +272,9 @@ examples = [['desert_full.png', 'a car in the desert'],
             ['pumpkin.png', 'a pumpkin growing in a spooky forest'],
             ['windows.png', 'foggy california forest outside the window']]
 
-title = "GLIDE Inpaint"
-description = "[WARNING: Queue times may take 4-6 minutes per person if there's no GPU! If there is a GPU, it'll take around 60 seconds] Using GLIDE to inpaint black regions of an input image! Instructions: 1) For the 'Input Image', upload an image. 2) For the 'Input Image with Mask', draw a black-colored mask (either manually with something like Paint, or by using gradio's built-in image editor & add a black-colored shape) IT MUST BE BLACK COLOR, but doesn't have to be rectangular! This is because it auto-detects the mask based on 0 (black) pixel values! 3) For the Conditional Text, type something you'd like to see the black region get filled in with :)"
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2112.10741' target='_blank'>GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models</a> | <a href='https://github.com/openai/glide-text2im' target='_blank'>Github Repo</a></p>"
+title = "Transparency Inpainting Using GLIDE"
+description = "An implementation of [OpenAI's GLIDE model](https://github.com/openai/glide-text2im/) that inpaints transparency with image data based on a text prompt.\n This space is based on [Epoching's original GLIDE_Inpaint space](https://huggingface.co/spaces/Epoching/GLIDE_Inpaint), with some adjustments to make generating images slightly less input-heavy.\n\n*NOTE:* Since this space currently runs on the CPU, queue times are relatively long - expect to wait 3-5 minutes for each image."
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2112.10741' target='_blank'>GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models</a> | <a href='https://github.com/openai/glide-text2im' target='_blank'>Github Repo</a></p> "
 iface = gr.Interface(fn=inpaint, inputs=gradio_inputs,
                      outputs=gradio_outputs,
                      examples=examples, title=title,