app.py

import gradio as gr
import pandas as pd
import matplotlib.pyplot as plt

def update_dropdowns(file):
    if file is None:
        return gr.Dropdown(choices=[]), gr.Dropdown(choices=[])
    df = pd.read_csv(file)
    columns = list(df.columns)
    return gr.Dropdown(choices=columns), gr.Dropdown(choices=columns)

def create_scatter_plot(file, x_col, y_col):
    if not file or not x_col or not y_col:
        return None
    
    df = pd.read_csv(file)
    
    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)
    
    plt.savefig("scatter_plot.png")
    return "scatter_plot.png"

with gr.Blocks() as app:
    gr.Markdown("# CSV Veri Görselleştirme Aracı")
    
    with gr.Row():
        csv_file = gr.File(label="CSV Dosyası Yükle", type="filepath")
    
    with gr.Row():
        x_axis = gr.Dropdown(label="X Ekseni Parametresi", interactive=True)
        y_axis = gr.Dropdown(label="Y Ekseni Parametresi", interactive=True)
    
    plot_button = gr.Button("Grafiği Oluştur")
    
    with gr.Row():
        plot_output = gr.Image(label="Scatter Plot")

    csv_file.change(
        fn=update_dropdowns,
        inputs=csv_file,
        outputs=[x_axis, y_axis]
    )
    
    plot_button.click(
        fn=create_scatter_plot,
        inputs=[csv_file, x_axis, y_axis],
        outputs=plot_output
    )

app.launch()