Update

app.py

@@ -49,7 +49,7 @@ def calculate_score(image, text, model_name):
     cosine_similarities = torch.mm(text_embeds, image_embeds.t()).squeeze(1)
     
     # Convert to percentages
-    percentages = ((cosine_similarities + 1) / 2 * 100).cpu().numpy()
+    percentages = ((cosine_similarities + 1) / 2).cpu().numpy()
     
     results_dict = {label: float(score) for label, score in zip(labels, percentages)}
     return results_dict