Update app.py

app.py

@@ -29,7 +29,37 @@ def visualize(url):
                 # Konversi tabel HTML ke DataFrame Pandas
                 #df = pd.read_html(str(parse_element))[0]
                 #st.dataframe(df)  # tampilkan tabel dengan format rapi Streamlit
-                st.components.v1.html(str(parse_element), height=600, scrolling=True)
+                #st.components.v1.html(str(parse_element), height=600, scrolling=True)
+                rows = parse_element.select("div.ui-table__row")
+                data = []
+                for row in rows:
+                    rank = row.select_one(".tableCellRank")
+                    team = row.select_one(".tableCellParticipant__name")
+                    mp = row.select_one("span.table__cell:nth-of-type(3)")
+                    w = row.select_one("span.table__cell:nth-of-type(4)")
+                    d = row.select_one("span.table__cell:nth-of-type(5)")
+                    l = row.select_one("span.table__cell:nth-of-type(6)")
+                    g = row.select_one(".table__cell--score")
+                    sg = row.select_one(".table__cell--goalsForAgainstDiff")
+                    pts = row.select_one(".table__cell--points")
+                
+                    data.append({
+                        "Peringkat": rank.text.strip() if rank else "",
+                        "Tim": team.text.strip() if team else "",
+                        "Main": mp.text.strip() if mp else "",
+                        "Menang": w.text.strip() if w else "",
+                        "Seri": d.text.strip() if d else "",
+                        "Kalah": l.text.strip() if l else "",
+                        "Gol": g.text.strip() if g else "",
+                        "Selisih Gol": sg.text.strip() if sg else "",
+                        "Poin": pts.text.strip() if pts else ""
+                    })
+                
+                # === 5. Buat DataFrame ===
+                df = pd.DataFrame(data)
+                
+                # === 6. Tampilkan di Streamlit ===
+                st.dataframe(df)
             else:
                 st.warning("Tabel tidak ditemukan.")