Update app.py

app.py

@@ -1,5 +1,4 @@
 import streamlit as st
-from PIL import Image
 from io import BytesIO
 import pandas as pd
 from selenium import webdriver
@@ -28,6 +27,33 @@ def visualize(url):
             #st.subheader("Website title:")
             if baris:
                 st.code(baris, language='html')  
+                data = []
+                for row in baris:
+                    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)
+                st.dataframe(df)
             else:
                 st.warning("Rows tidak ditemukan.")  
             if xdataframe:
@@ -66,32 +92,7 @@ def take_webdata(url):
         
         #rows = div_find.find("ui-table__row  ") if div_find else None
         #rows = soup.find("div", class_="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)
       
     except WebDriverException as e:
         return page_title