Update app.py

app.py

@@ -35,24 +35,22 @@ st.markdown(
     unsafe_allow_html=True
 )
 
-st.title("OntoLearner Benchmark – Ontology Metrics Dashboard")
-st.image(
-    "https://raw.githubusercontent.com/sciknoworg/OntoLearner/main/images/logo.png",
-    width=220
-)
-st.markdown("---")
-st.subheader("ℹ️ About OntoLearner")
 
+st.markdown(
+    """
+    <div style="text-align: center;">
+        <img src="https://raw.githubusercontent.com/sciknoworg/OntoLearner/main/images/logo.png" width="320">
+    </div>
+    """,
+    unsafe_allow_html=True
+)
+st.title("OntoLearner Benchmark – Ontology Metrics Dashboard")
+# st.markdown("---")
+# st.subheader("ℹ️ About OntoLearner")
 st.markdown(
     """
     **OntoLearner** is an automated ontology learning framework designed to extract, structure, and enrich knowledge from textual data. It provides a modular pipeline combining NLP, machine learning, and ontology engineering
     principles to generate OWL ontologies with high interpretability and consistency.
-
-    **🔗 Useful Links**
-    - 📦 GitHub Repository: [sciknoworg/OntoLearner](https://github.com/sciknoworg/OntoLearner)
-    - 📚 Documentation: [ontolearner.readthedocs.io](https://ontolearner.readthedocs.io/)
-    
-    OntoLearner is developed and maintained by the **SciKnow Research Group**.
     """
 )
 
@@ -273,8 +271,10 @@ st.markdown(
     ```
 
     ------------
-    
     This OntoLearner is licensed under [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT).
+
+
+    
     """
 )