added paper link

app.py

@@ -35,7 +35,7 @@ outputs = gr.outputs.Textbox(label="Caption")
 
 description = "Gradio demo for FuseCap: Leveraging Large Language Models to Fuse Visual Data into Enriched Image Captions. This demo features a BLIP-based model, trained using FuseCap."
 examples = [["surfer.jpg"], ["bike.jpg"]]
-article = "<p style='text-align: center'><a href='google.com' target='_blank'>place holder</a>"
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2305.17718' target='_blank'>FuseCap: Leveraging Large Language Models to Fuse Visual Data into Enriched Image Captions</a>"
 
 
 iface = gr.Interface(fn=inference,