Update app.py

app.py

@@ -504,8 +504,9 @@ with demo:
         
     gr.Markdown(
         """
-        <h1 style="text-align: center;">Encrypted de-identification Audio Files Using Fully Homomorphic Encryption</h1>
-        <!-- <p align="center">
+        <h1 style="text-align: center;">Secure De-Identification of Audio Files</h1>
+        <!-- 
+        <p align="center">
             <a href="https://github.com/zama-ai/concrete-ml"> <img style="vertical-align: middle; display:inline-block; margin-right: 3px;" width=15 src="file/images/logos/github.png">Concrete-ML</a>
             —
             <a href="https://docs.zama.ai/concrete-ml"> <img style="vertical-align: middle; display:inline-block; margin-right: 3px;" width=15 src="file/images/logos/documentation.png">Documentation</a>
@@ -513,21 +514,27 @@ with demo:
             <a href=" https://community.zama.ai/c/concrete-ml/8"> <img style="vertical-align: middle; display:inline-block; margin-right: 3px;" width=15 src="file/images/logos/community.png">Community</a>
             —
             <a href="https://twitter.com/zama_fhe"> <img style="vertical-align: middle; display:inline-block; margin-right: 3px;" width=15 src="file/images/logos/x.png">@zama_fhe</a>
-        </p> -->
+        </p> 
+        -->
         """
     )
-
+    
     gr.Markdown(
-    """
-    <p align="center" style="font-size: 16px;">
-        Anonymization makes it impossible to identify a person from a data set and thus allows their privacy to be respected </p> Concealing some of PII information is a helpful technique for de-identification. However, this can't be considered as anonymization. 
-    <p align="center" style="font-size: 16px;">
-        De-identification uses Fully Homomorphic Encryption (FHE) to conceal personally 
-        identifiable information (PII) within encrypted documents, enabling computations to be 
-        performed on the encrypted data.</p>
+        """
+        <p align="center" style="font-size: 18px;">
+            Protecting personal data is more important than ever in today’s digital world. <b>Our project ensures privacy-preserving de-identification of audio data</b> using state-of-the-art <b>Fully Homomorphic Encryption (FHE)</b>, offering a secure and transparent solution for data anonymization.
+        </p>
         
-    """
-    )    
+        <p align="center" style="font-size: 18px;">
+            Traditional methods of de-identification often fall short of true anonymization, merely concealing identifiable information. With FHE, we go beyond obfuscation to provide <b>complete security,</b> allowing computations to be performed directly on encrypted data without ever exposing sensitive details.
+        </p>
+        
+        <p align="center" style="font-size: 18px;">
+            This technology is crucial in enabling organizations to use and share sensitive data responsibly, while fully respecting individual privacy.
+        </p>
+        """
+    )
+
 
     # Step 1: Add an audio file
     gr.Markdown("## Step 1: Add an Audio File")