Update src/streamlit_app.py

src/streamlit_app.py

@@ -6,7 +6,7 @@ import requests
 st.title("WNBA Player Game Logs (2025 Season)")
 
 # API URL and headers
-url = "https://stats.wnba.com/stats/playergamelogs?DateFrom=&DateTo=&GameSegment=&LastNGames=0&LeagueID=10&Location=&MeasureType=Base&Month=0&OpponentTeamID=0&Outcome=&PORound=0&PaceAdjust=N&PerMode=Totals&Period=0&PlusMinus=N&Rank=N&Season=2025&SeasonSegment=&SeasonType=Regular+Season&ShotClockRange=&VsConference=&VsDivision="
+url = "https://stats.wnba.com/stats/playergamelogs?LastNGames=10&LeagueID=10&MeasureType=Base&PerMode=Totals&Season=2025&SeasonType=Regular+Season"
 headers = {
     "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
     "Accept": "application/json",
@@ -18,12 +18,12 @@ headers = {
 @st.cache_data
 def fetch_wnba_data():
     try:
-        response = requests.get(url, headers=headers)
+        response = requests.get(url, headers=headers, timeout=10)  # Add timeout of 10 seconds
         response.raise_for_status()  # Check for request errors
         data = response.json()
         # Extract headers and rows from the first resultSet
         result_set = data['resultSets'][0]
-        api_headers = result_set['headers']  # Use a different name to avoid conflict with global 'headers'
+        api_headers = result_set['headers']  # Use a different name to avoid conflict
         rows = result_set['rowSet']
         # Create DataFrame
         df = pd.DataFrame(rows, columns=api_headers)
@@ -34,6 +34,9 @@ def fetch_wnba_data():
     except KeyError as e:
         st.error(f"Error parsing JSON: {e}")
         return None
+    except Exception as e:
+        st.error(f"Unexpected error: {e}")
+        return None
 
 # Fetch and display data
 df = fetch_wnba_data()