update page header

app.py

@@ -12,8 +12,8 @@ datapath = os.path.join(basepath, "data")
 st.title('HyperDTI: Task-conditioned modeling of drug-target interactions.\n')
 st.markdown(
     """
-    🧬 Generate a QSAR model for the protein target of interest, useful for high-throughput screening or drug repurposing.\n
-    💻 Github: [ml-jku/hyper-dti](https://https://github.com/ml-jku/hyper-dti)    
+    \n
+    🧬 Github: [ml-jku/hyper-dti](https://https://github.com/ml-jku/hyper-dti)    
     📝 NeurIPS 2022 AI4Science workshop paper: [OpenReview](https://openreview.net/forum?id=dIX34JWnIAL)\n
     """
 )
@@ -22,7 +22,7 @@ st.markdown(
 def about_page():
     st.markdown(
         """      
-        ## About
+        ### About
         
         HyperNetworks have been established as an effective technique to achieve fast adaptation of parameters for 
         neural networks. Recently, HyperNetwork predictions conditioned on descriptors of tasks have improved 
@@ -35,8 +35,6 @@ def about_page():
         predicting drug-target interactions in drug discovery. Our model learns to generate a QSAR model specialized on
         a given protein target. We demonstrate state-of-the-art performance over previous methods on multiple 
         well-known benchmarks, particularly in zero-shot settings for unseen protein targets.
-
-        ![Model overview](hyper-dti.png)
         """
     )