Update README.md

README.md

@@ -1,9 +1,7 @@
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 license: cc-by-4.0
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-Okay, I've updated the README.md with the corrected author list you provided and made the requested changes to the code example.
 
-Here's the revised README.md:
 
 # Empathic-Insight-Face-Large
 
@@ -183,7 +181,7 @@ if embedding_tensor is not None and emotion_mlps:
         print(f"{emotion:<35}: Mean-Subtracted = {scores['mean_subtracted_score']:.4f} (Raw = {scores['raw_score']:.4f}, Neutral Mean = {scores['neutral_mean']:.4f})")
 else:
     print("Skipping inference as either embedding tensor is None or no MLP models were loaded.")
-
+```
 Performance on EMoNet-FACE HQ Benchmark
 
 The Empathic-Insight-Face models demonstrate strong performance, achieving near human-expert-level agreement on the EMoNet-FACE HQ benchmark.