feat: Add emojis to comm text to improve expressiveness

app.py

@@ -68,7 +68,7 @@ def generate_plot(
     model: SentenceTransformer,
     tw_user: str
 ) -> Figure:
-    with st.spinner(text=f"Trying to understand '{tw_user}' tweets..."):
+    with st.spinner(text=f"Trying to understand '{tw_user}' tweets... 🤔"):
         embeddings = embed_text(tws, model)
     # encoded_labels = encode_labels(labels)
     cluster = hdbscan.HDBSCAN(
@@ -77,7 +77,7 @@ def generate_plot(
         cluster_selection_method='eom'
     ).fit(embeddings)
     encoded_labels = cluster.labels_
-    with st.spinner("Now trying to express them with my own words..."):
+    with st.spinner("Now trying to express them with my own words... 💬"):
         embeddings_2d = get_tsne_embeddings(embeddings)
     plot = draw_interactive_scatter_plot(
         tws, embeddings_2d[:, 0], embeddings_2d[:, 1], encoded_labels, encoded_labels, 'text', 'label'
@@ -105,13 +105,13 @@ with col1:
 with col2:
     go_btn = st.button('Visualize')
 
-with st.spinner(text="Grabbing lenses..."):
+with st.spinner(text="Loading brain... 🧠"):
     model = load_model(model_to_use[expected_lang])
 
 if go_btn and tw_user != '':
     usr = client.get_user(username=tw_user)
     tw_user = tw_user.replace(' ', '')
-    with st.spinner(f"Getting to know the '{tw_user}'..."):
+    with st.spinner(f"Getting to know the '{tw_user}'... 🔍"):
         tweets_objs = []
         while tw_sample >= 100:
             current_sample = min(100, tw_sample)