debug scores

app.py

@@ -186,9 +186,13 @@ def predict(embeds, exemplars, lut):
     # print(exemplars[0].shape, exemplars[1].shape, np.abs(exemplars[0] - exemplars[1]).sum())
     dist_to_ex0 = np.abs(hd_embeds - exemplars[0][np.newaxis, ...]).sum(axis=-1)
     dist_to_ex1 = np.abs(hd_embeds - exemplars[1][np.newaxis, ...]).sum(axis=-1)
-    preds = [HYPERDIMS - dist_to_ex0, HYPERDIMS - dist_to_ex1]
+    print('dists', dist_to_ex0, dist_to_ex1)
+    preds = np.array([HYPERDIMS - dist_to_ex0, HYPERDIMS - dist_to_ex1])
+    # preds = np.array([-1. * dist_to_ex0, -1. * dist_to_ex1])
     preds = np.exp(preds)/sum(np.exp(preds))
+    # preds = preds / preds.sum()
     # print(preds.shape)
+    print(preds)
     return {"👍": preds[1], "👎": preds[0]}
  
 with gr.Blocks(title="End-User Personalization") as demo: