Update app.py

app.py

@@ -296,7 +296,9 @@ _HEADER_ = '''
 </div>
 
 
-<p style="font-size: 1rem; margin-bottom: 1.5rem;">Paper: <a href='https://witcherofresearch.github.io/TeleStyleV2' target='_blank'>TeleStyle V2: Beyond Content-Preserving Style Transfer with Self-Distillation and Distribution-Matching-Distillation</a> | Codes: <a href='https://github.com/Tele-AI/TeleStyleV2' target='_blank'>GitHub</a></p>
+<p style="font-size: 1rem; margin-bottom: 1.5rem;">Paper: <a href='https://witcherofresearch.github.io/TeleStyleV2' target='_blank'>TeleStyle V2: Beyond Content-Preserving Style Transfer with Self-Distillation and Distribution-Matching-Distillation</a> | Codes: <a href='https://github.com/Tele-AI/TeleStyleV2' target='_blank'>GitHub</a>
+</p>
+<p style="font-size: 1rem; margin-bottom: 1.5rem;">Please light a star for the <a href='https://github.com/Tele-AI/TeleStyleV2' target='_blank'>Code</a> if you find the demo useful, thank you.</p>
 <p style="font-size: 1rem; margin-bottom: 1.5rem;">Update: prompt enhancer provided, and the model supports content ref/style ref only input, which means you could use the model as an image editing model and style transfer model at the same time. So you don't have to provide a style reference now, the model also accepts prompt for style transfer, which makes the model more flexible. If you choose infer with content/style prompt, do not forget to clean the prompt box when you run new  inference.</p>
 
 <p style="font-size: 1rem; margin-bottom: 1.5rem;">If you encounter an Error with this demo, the most possible reason is ZeroGPU out-of-memory and the solution is to decrease the Min Edge of the generated image from 1024 to a lower value.  </p>