debugging confidence dict.

app.py

@@ -114,6 +114,7 @@ def infer(video_file):
         logits = outputs.logits
     softmax_scores = torch.nn.functional.softmax(logits, dim=0).squeeze(0)
     confidences = {LABELS[i]: float(softmax_scores[i]) for i in range(len(LABELS))}
+    print(f"Confidence dict: {confidences}")
     return confidences