Update app.py

app.py

@@ -29,7 +29,7 @@ sd2_output = gr.Text(label="Extended prompt suitable for Stable Diffusion 2.x")
 description="""
 <p style="text-align:center;">
 Since Stable Diffusion 2 uses OpenCLIP ViT-H model trained on LAION dataset compared to the OpenAI ViT-L we're all used to prompting, the prompting style varies and the exact prompt is often hard to write.
-<br />This demo extends an initial idea and generates suitable prompts compatible with v1.x stable diffusion and v2.x stable diffusion, 
+<br />This demo extends an initial idea and generates suitable prompts compatible with v1.x stable diffusion and v2.x stable diffusion. The version 1.x prompts are first obtained and the corresponding version 2.x prompt are obtained
 <br />by generating an image through <a href="https://huggingface.co/runwayml/stable-diffusion-v1-5" target="_blank">RunwayML Stable Diffusion 1.5</a>, then Interrogate the resulting image through <a href="https://huggingface.co/spaces/fffiloni/CLIP-Interrogator-2" target="_blank">CLIP Interrogator 2</a> to give you a Stable Diffusion 2 equivalent prompt.
 </p>
 """