Update app.py

app.py

@@ -8,15 +8,15 @@ df = dataset["train"].to_pandas()
 unique_src = df[["item_id", "src_text"]].drop_duplicates(subset="item_id")
 langs = list(df["lang_id"].unique())
 
-st.title("DivEMT Explorer")
+st.title("DivEMT Explorer 🔍 🌍")
+st.markdown("""
+##### The DivEMT Explorer is a tool to explore translations and edits in the DivEMT corpus.
+
+##### Use the expandable section "Explore examples" below to visualize some of the original source sentences. When you find an interesting sentence, insert its numeric id (between 0 and 429) in the box below, and select all the available languages you want to use for visualizing the results.
+
+##### Inside every generated language section, you will find the translations for all the available settings, alongside aligned edits and a collection of collected metadata. You can filter the shown settings to see the aligned edits annotations.
+""")
 
-cc1, _ = st.columns([2, 1])
-with cc1:
-    st.write("""
-    The DivEMT Explorer is a tool to explore translations and edits contained in the DivEMT corpus.
-    Use the expandable section "Explore examples" below to visualize some of the original source sentences. When you found a sentence that you might be interested in, insert its numeric id (between 0 and 429) in the box below, and select all the languages for which you want to visualize the results.
-    Inside every generated section you will find the translations for all the available settings, alongside aligned edits and a collection of collected metadata. You can filter the showed settings to better see the aligned edits annotations.
-    """)
 with st.expander("Explore examples"):
     col1, col2, _ = st.columns([3,2,5])
     with col1:
@@ -46,7 +46,8 @@ with col2_main:
         'Select languages',
         options=langs
     )
-st.markdown("<b>Source text:</b> <span style='color: #ff4b4b'> " + unique_src.iloc[int(item_id)]["src_text"] + "</span>", unsafe_allow_html=True)
+st.markdown("##### Source text")
+st.markdown("##### <span style='color: #ff4b4b'> " + unique_src.iloc[int(item_id)]["src_text"] + "</span>", unsafe_allow_html=True)
 task_names = ["From Scratch (HT)", "Google PE (PE1)", "mBART PE (PE2)"]
 for lang in langs:
     with st.expander(f"View {lang.upper()} data"):