Update app.py

app.py

@@ -1,93 +1,57 @@
 import gradio as gr
 import pandas as pd
-from shapely.geometry import Point, Polygon
+import matplotlib.pyplot as plt
 
-def load_csv(file):
-    return pd.read_csv(file.name)
-
-def update_dropdowns(df):
-    if df is None or df.empty:
+def update_dropdowns(file):
+    if file is None:
         return gr.Dropdown(choices=[]), gr.Dropdown(choices=[])
-    columns = df.columns.tolist()  # Index'i listeye çevir
+    df = pd.read_csv(file.name)
+    columns = list(df.columns)
     return gr.Dropdown(choices=columns), gr.Dropdown(choices=columns)
 
-def create_plot(df, x_col, y_col):
-    if df is None or x_col not in df.columns or y_col not in df.columns:
+def create_scatter_plot(file, x_col, y_col):
+    if file is None or not x_col or not y_col:
         return None
-    return {
-        "x": df[x_col].tolist(),
-        "y": df[y_col].tolist(),
-        "color": "blue",
-        "tooltip": df.columns.tolist(),
-        "x_title": x_col,
-        "y_title": 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 = []
     
-    filter_points.points.append((event.x, event.y))
+    df = pd.read_csv(file.name)
     
-    if len(filter_points.points) < 3:
-        return pd.DataFrame()
+    plt.figure(figsize=(10, 6))
+    plt.scatter(df[x_col], df[y_col])
+    plt.title(f"{x_col} vs {y_col}")
+    plt.xlabel(x_col)
+    plt.ylabel(y_col)
+    plt.grid(True)
     
-    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 = []
+    plt.savefig("scatter_plot.png")
+    return "scatter_plot.png"
 
-with gr.Blocks() as demo:
-    gr.Markdown("## 🎯 Çalışan Son Sürüm")
-    
-    df_state = gr.State()
+with gr.Blocks() as app:
+    gr.Markdown("# CSV Veri Görselleştirme Aracı")
     
     with gr.Row():
-        csv_upload = gr.File(label="1. CSV Yükle", file_types=[".csv"])
-        x_col = gr.Dropdown(label="2. X Sütunu Seç")
-        y_col = gr.Dropdown(label="3. Y Sütunu Seç")
-    
-    plot = gr.ScatterPlot(
-        label="4. Lasso Tool ile Alan Seç",
-        show_label=True,
-        interactive=True
-    )
+        csv_file = gr.File(label="CSV Dosyası Yükle", type="file")
     
-    results = gr.DataFrame(label="Seçilen Veriler")
+    with gr.Row():
+        x_axis = gr.Dropdown(label="X Ekseni Parametresi", interactive=True)
+        y_axis = gr.Dropdown(label="Y Ekseni Parametresi", interactive=True)
     
-    csv_upload.upload(
-        load_csv,
-        inputs=csv_upload,
-        outputs=df_state
-    ).then(
-        update_dropdowns,
-        inputs=df_state,
-        outputs=[x_col, y_col]
-    )
+    plot_button = gr.Button("Grafiği Oluştur")
     
-    x_col.change(
-        create_plot,
-        inputs=[df_state, x_col, y_col],
-        outputs=plot
-    )
-    y_col.change(
-        create_plot,
-        inputs=[df_state, x_col, y_col],
-        outputs=plot
+    with gr.Row():
+        plot_output = gr.Image(label="Scatter Plot")
+
+    # Dropdown'ları güncelleme
+    csv_file.change(
+        fn=update_dropdowns,
+        inputs=csv_file,
+        outputs=[x_axis, y_axis]
     )
     
-    plot.select(
-        filter_points,
-        inputs=[df_state, x_col, y_col],
-        outputs=results
+    # Plot oluşturma
+    plot_button.click(
+        fn=create_scatter_plot,
+        inputs=[csv_file, x_axis, y_axis],
+        outputs=plot_output
     )
 
-demo.launch()
+app.launch()