Update app.py

app.py

@@ -6,10 +6,13 @@ def load_csv(file):
     return pd.read_csv(file.name)
 
 def update_dropdowns(df):
-    return gr.Dropdown(choices=df.columns), gr.Dropdown(choices=df.columns)
+    if df is None or df.empty:
+        return gr.Dropdown(choices=[]), gr.Dropdown(choices=[])
+    columns = df.columns.tolist()  # Index'i listeye çevir
+    return gr.Dropdown(choices=columns), gr.Dropdown(choices=columns)
 
 def create_plot(df, x_col, y_col):
-    if not x_col or not y_col:
+    if df is None or x_col not in df.columns or y_col not in df.columns:
         return None
     return {
         "x": df[x_col].tolist(),
@@ -21,6 +24,9 @@ def create_plot(df, x_col, y_col):
     }
 
 def filter_points(event: gr.SelectData, df, x_col, y_col):
+    if df is None or x_col not in df.columns or y_col not in df.columns:
+        return pd.DataFrame()
+    
     if not hasattr(filter_points, "points"):
         filter_points.points = []
     
@@ -29,17 +35,18 @@ def filter_points(event: gr.SelectData, df, x_col, y_col):
     if len(filter_points.points) < 3:
         return pd.DataFrame()
     
-    polygon = Polygon(filter_points.points)
-    mask = df[[x_col, y_col]].apply(
-        lambda row: polygon.contains(Point(row[x_col], row[y_col])), 
-        axis=1
-    )
-    
-    filter_points.points = []
-    return df[mask]
+    try:
+        polygon = Polygon(filter_points.points)
+        mask = df[[x_col, y_col]].apply(
+            lambda row: polygon.contains(Point(row[x_col], row[y_col])), 
+            axis=1
+        )
+        return df[mask]
+    finally:
+        filter_points.points = []
 
 with gr.Blocks() as demo:
-    gr.Markdown("## 🎯 Çalışan Versiyon")
+    gr.Markdown("## 🎯 Çalışan Son Sürüm")
     
     df_state = gr.State()