Update app.py

app.py

@@ -2,7 +2,10 @@ import gradio as gr
 import os
 
 title="Prompt Converter"
-description="Convert a v1.x stable diffusion prompt to a stable diffusion 2.x prompt"
+description="""
+Stable Diffusion 2 uses OpenCLIP ViT-H model trained LAION dataset so it knows different things than the OpenAI ViT-L we're all used to prompting.
+<br />This demo Convert a v1.x stable diffusion prompt to a stable diffusion 2.x prompt, by generating an image through RunwayML Stable Diffusion 1.5, then Interrogate the resulting image through CLIP Interrogator 2 to give you a Stable Diffusion 2 equivalent prompt.
+"""
 stable_diffusion = gr.Blocks.load(name="spaces/runwayml/stable-diffusion-v1-5")
 clip_interrogator_2 = gr.Blocks.load(name="spaces/fffiloni/CLIP-Interrogator-2")
 
@@ -25,7 +28,7 @@ def infer(prompt):
     #print(result)
     return result[0]
     
-prompt_input = gr.Textbox(lines=4, label="Input Stable Diffusion 1 prompt")
-prompt_output = gr.Textbox(lines=4, label="Converted Stable Diffusion 2 prompt ")
+prompt_input = gr.Textbox(lines=4, label="Input v1.x Stable Diffusion prompt")
+prompt_output = gr.Textbox(lines=4, label="Converted v2.x Stable Diffusion prompt")
 
 gr.Interface(fn=infer, inputs=[prompt_input], outputs=[prompt_output],title=title,description=description).queue(max_size=10).launch(enable_queue=True)