diff --git a/src/mod_searchable.py b/src/mod_searchable.py
index 52070d2..509f4be 100644
--- a/src/mod_searchable.py
+++ b/src/mod_searchable.py
@@ -10,6 +10,10 @@ tfidf_vectorizer_path = "data/tfidf_vectorizer.pckl"
 relevance_score_path = "data/tweet_relevance.json"
 tweets_path = "data/tweets_all_combined.csv"
 
+reply_html_svg = '<svg width="18px" height="18px" viewBox="0 0 24 24" aria-hidden="true"><g><path d="M1.751 10c0-4.42 3.584-8 8.005-8h4.366c4.49 0 8.129 3.64 8.129 8.13 0 2.96-1.607 5.68-4.196 7.11l-8.054 4.46v-3.69h-.067c-4.49.1-8.183-3.51-8.183-8.01zm8.005-6c-3.317 0-6.005 2.69-6.005 6 0 3.37 2.77 6.08 6.138 6.01l.351-.01h1.761v2.3l5.087-2.81c1.951-1.08 3.163-3.13 3.163-5.36 0-3.39-2.744-6.13-6.129-6.13H9.756z"></path></g></svg>'
+retweet_html_svg = '<svg width="18px" height="18px" viewBox="0 0 24 24" aria-hidden="true"><g><path d="M4.5 3.88l4.432 4.14-1.364 1.46L5.5 7.55V16c0 1.1.896 2 2 2H13v2H7.5c-2.209 0-4-1.79-4-4V7.55L1.432 9.48.068 8.02 4.5 3.88zM16.5 6H11V4h5.5c2.209 0 4 1.79 4 4v8.45l2.068-1.93 1.364 1.46-4.432 4.14-4.432-4.14 1.364-1.46 2.068 1.93V8c0-1.1-.896-2-2-2z"></path></g></svg>'
+like_html_svg = '<svg width="18px" height="18px" viewBox="0 0 24 24" aria-hidden="true"><g><path d="M16.697 5.5c-1.222-.06-2.679.51-3.89 2.16l-.805 1.09-.806-1.09C9.984 6.01 8.526 5.44 7.304 5.5c-1.243.07-2.349.78-2.91 1.91-.552 1.12-.633 2.78.479 4.82 1.074 1.97 3.257 4.27 7.129 6.61 3.87-2.34 6.052-4.64 7.126-6.61 1.111-2.04 1.03-3.7.477-4.82-.561-1.13-1.666-1.84-2.908-1.91zm4.187 7.69c-1.351 2.48-4.001 5.12-8.379 7.67l-.503.3-.504-.3c-4.379-2.55-7.029-5.19-8.382-7.67-1.36-2.5-1.41-4.86-.514-6.67.887-1.79 2.647-2.91 4.601-3.01 1.651-.09 3.368.56 4.798 2.01 1.429-1.45 3.146-2.1 4.796-2.01 1.954.1 3.714 1.22 4.601 3.01.896 1.81.846 4.17-.514 6.67z"></path></g></svg>'
+
 
 print("Loading data from storage")
 tweets = pd.read_csv(tweets_path)
@@ -48,7 +52,7 @@ def search_query(query: str, limit: int = 5) -> pd.DataFrame:
 def searchable_ui():
     return ui.div(
         ui.h2("Tweet Suchmaschine"),
-        ui.input_text("search_input", "Suche:", placeholder="Gebe Suchterm ein"),
+        ui.input_text("search_input", "Suche:", placeholder="Gebe Suchterm ein", value="Leipzig"),
         ui.HTML("<br>"),
         ui.output_ui(id="searchable_tweet_ui"),
     )
@@ -77,17 +81,24 @@ def searchable_server(input: Inputs, output: Outputs, session: Session):
             tweet_ui.append(
                 ui.div(
                     ui.row(
-                        ui.column(9, ui.markdown(f"**{row['user_name']}** *@{row['handle']}*"), style=style),
+                        ui.column(9, ui.markdown(
+                            f"**{row['user_name']}** *@{row['handle']}*"), style=style),
                         ui.column(3, ui.p(f"{row['created_at']}"), style=style),
                     ),
                     ui.row(
-                        ui.column(12, ui.HTML(str(row["tweet_text"]).replace("\\n", "<br>")), style=style + "font-size: 20px; padding:1em;"),
+                        ui.column(12, ui.HTML(str(row["tweet_text"]).replace(
+                            "\\n", "<br>")), style=style + "font-size: 20px; padding:1em;"),
                     ),
                     ui.row(
-                        ui.column(3, ui.p(f"👍 {row['like_count']}"), style=style),
-                        ui.column(3, ui.p(f"⟲ {row['retweet_count']}"), style=style),
-                        ui.column(3, ui.p(f"↪ {row['reply_count']}"), style=style),
-                        ui.column(3, ui.p(f"💬 {row['quote_count']}"), style=style),
+                        ui.column(3, ui.HTML(reply_html_svg), ui.p(
+                            f"{row['reply_count']}"), style=style),
+                        ui.column(3, ui.HTML(retweet_html_svg), ui.p(
+                            f"{row['retweet_count']}"), style=style),
+                        ui.column(3, ui.HTML(like_html_svg), ui.p(
+                            f"{row['like_count']}"), style=style),
+                        # quote_count: . Indicates approximately how many times this Tweet has been quoted by Twitter users. Example:
+                        # TODO: use a nice svg for quote_count
+                        ui.column(3, ui.p(f"Quote Count: {row['quote_count']}"), style=style),
                     ), style="border: 1px solid #954; margin-bottom: 1em;"))
 
         return tweet_ui