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app.py

@@ -77,7 +77,7 @@ with demo:
     gr.Markdown("""
     ## 🎯 The Open Benchmark for Detecting AI-Generated Images
 
-    [DFD-Arena](https://github.com/BitMind-AI/dfd-arena) is the first benchmark to address the open-source computer vision community's need for a **comprehensive** evaluation framework for state-of-the-art (SOTA) detection of AI-generated images.
+    [DFD-Arena](https://github.com/BitMind-AI/dfd-arena) is the first benchmark to address the open-source computer vision community's need for a *comprehensive evaluation framework* for state-of-the-art (SOTA) detection of AI-generated images.
     
     While [previous studies](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9721302) have focused on benchmarking the SOTA on content-specific subsets of the deepfake detection problem, e.g. human face deepfake benchmarking via [DeepfakeBench](https://github.com/SCLBD/DeepfakeBench), these benchmarks do not adequately account for the broad spectrum of real and generated image types seen in everyday scenarios.