Update app.py

app.py

@@ -98,9 +98,10 @@ iface = gr.Interface(
     inputs=gr.Image(type="pil", label="Upload an Image"),
     outputs=[gr.Textbox(label="Emotion"), gr.Textbox(label="Memorability Score")],
     title="PerceptCLIP-Emotions",
-    description="This model predicts the emotion evoked by an image.",
+    description="This is an official demo of PerceptCLIP from the paper: [Don’t Judge Before You CLIP: A Unified Approach for Perceptual Tasks](https://arxiv.org/pdf/2503.13260). We finetune CLIP using LoRA and an MLP head for each specific task. This demo shows results from three models, one for each task - visual emotion analysis, memorability prediction, and image quality assessment.",
     examples=example_images  
 )
 
+
 if __name__ == "__main__":
     iface.launch()