edited about text

app.py

@@ -341,34 +341,6 @@ if selected == "App":
                             """, unsafe_allow_html=True)
                         
 
-    # About tab
-    elif active_tab == "About":
-        st.markdown("""
-            ## About
-            Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam nec purus nec nunc ultricies ultricies.
-            """)
-
-
-    elif active_tab == "FAQ":
-        st.markdown("""
-            ## FAQ
-            """)
-        
-        with st.expander('''**Which models is this interface based on?**'''):
-            st.write(
-                    "This interface is based on five language models. \
-                    Language models are statistical models of language, \
-                    which store statistical information about word co-occurrence during the training phase. \
-                    During training they process a corpus of texts in the target language(s). \
-                    Once trained, models can be used to extract information about the language \
-                    (in this interface, we focus on the extraction of semantic information) or to perform specific linguistic tasks. \
-                    The models on which this interface is based are Word Embedding models."
-                    )
-            
-        with st.expander('''**Which corpus was used to train the models?**'''):
-            st.write(
-                "The five models on which this interface is based were trained on five slices of the Diorisis Ancient Greek Corpus (Vatri & McGillivray 2018)."
-            )
             
             
 if selected == "About":
@@ -382,7 +354,7 @@ if selected == "About":
             
         The following people were involved in the creation of this interface:
         
-        **Mark den Ouden**
+        **Mark den Ouden** developed the interface.
         
         **Silvia Stopponi** trained the models, defined the structure of the interface, and wrote the textual content.
         
@@ -402,7 +374,33 @@ if selected == "About":
         <span style="font-style: italic;">AGALMA: Ancient Greek Accessible Language Models for linguistic Analysis.</span>
         
         """, unsafe_allow_html=True)
+ 
+
+if selected == "FAQ":
+    st.markdown("""
+        ## FAQ
+        """)
     
+    
+    
+    local_css("style.css")
+    with st.expander(r"$\textsf{\Large Which models is this interface based on?}$"):
+        st.write(
+                "This interface is based on five language models. \
+                Language models are statistical models of language, \
+                which store statistical information about word co-occurrence during the training phase. \
+                During training they process a corpus of texts in the target language(s). \
+                Once trained, models can be used to extract information about the language \
+                (in this interface, we focus on the extraction of semantic information) or to perform specific linguistic tasks. \
+                The models on which this interface is based are Word Embedding models."
+                )
+        
+    with st.expander(r"$\textsf{\Large Which corpus was used to train the models?}$"):
+        st.write(
+            "The five models on which this interface is based were trained on five slices of the Diorisis Ancient Greek Corpus (Vatri & McGillivray 2018)."
+        ) 
+ 
+   
 if selected == "License":
     st.markdown("""
         ## License