Update app.py

app.py

@@ -44,7 +44,7 @@ st.markdown(
         color: #555;
     }
 
-    .header {
+    .header, .metric {
         align-items: left;
         font-family: 'Arial', sans-serif; /* or use a similar sans-serif font */
         margin-bottom: 20px;
@@ -173,12 +173,12 @@ with tab1:
 
     st.markdown('# Metrics Explanation')
     st.markdown("""
-    <div class="metric">
+    <div class="metric" style="font-size:16px;">
         <br/>
-        <p style="font-size:16px;">
-        <strong> Factual Precision </strong> measures the ratio of supported units divided by all units averaged over model responses. <strong> Hallucination Score </strong> quantifies the incorrect or inconclusive contents within a model response, as described in the paper. We also provide statistics on the average number of units labelled as unsupported (<strong>Avg. # Unsupported</strong>), the average number of units labelled as undecidable (<strong>Avg. # Undecided</strong>), the average length of the response in terms of the number of tokens, and the average verifiable units existing in the model responses (<strong>Avg. # Units</strong>).  
+        <p>
+        <strong> Factual Precision </strong> measures the ratio of supported units divided by all units averaged over model responses. <strong> Hallucination Score </strong> quantifies the incorrect or inconclusive contents within a model response, as described in the paper. We also provide statistics on the average length of the response in terms of the number of tokens, the average verifiable units existing in the model responses (<strong>Avg. # Units</strong>), the average number of units labelled as undecidable (<strong>Avg. # Undecided</strong>), and the average number of units labelled as unsupported (<strong>Avg. # Unsupported</strong>).  
         </p>
-        <p style="font-size:16px;">
+        <p>
         🔒 for closed LLMs; 🔑 for open-weights LLMs; 🚨 for newly added models"
         </p>
     </div>
@@ -186,8 +186,6 @@ with tab1:
     unsafe_allow_html=True
     )
     
-    st.markdown('@Farima populate here')
-
     st.markdown("""
     <style>
         /* Selectbox text */