update app.py

app.py

@@ -110,7 +110,7 @@ with demo:
     This space collects a series of state-of-the-art methods for deepfake detection, allowing for free and unlimited use.
     
     ### Training & Performance
-    All methods have been trained using the **[DeepShield dataset](https://zenodo.org/records/15648378)**, which includes images generated with **Stable Diffusion XL** and **StyleGAN 2**. 
+    All methods have been trained using the **[DeepShield dataset](https://zenodo.org/records/15648378)**, on images generated with **Stable Diffusion XL** and **StyleGAN 2**. 
     You can expect performance comparable to the results shown in [Dell'Anna et al. (2025)](https://arxiv.org/pdf/2504.20658).
 
     ### Understanding the Results