Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+from data_loader import load_data
+from visualizer import create_plot
+from utils import get_numeric_columns, get_all_columns
+
+df_global = None  # Used to persist the DataFrame
+
+def process_file(file):
+    global df_global
+    df_global = load_data(file)
+    return (
+        df_global.head(), 
+        get_all_columns(df_global), 
+        get_numeric_columns(df_global)
+    )
+
+def update_plot(chart_type, x_col, y_col):
+    if df_global is not None:
+        fig = create_plot(df_global, chart_type, x_col, y_col)
+        return fig
+    return None
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 📊 Power BI-style Data Visualization App")
+
+    with gr.Row():
+        file_input = gr.File(label="Upload your data file (.csv, .xlsx, .json)")
+        dataframe_output = gr.Dataframe(label="Data Preview", interactive=False)
+
+    with gr.Row():
+        chart_type = gr.Dropdown(["Bar Chart", "Line Chart", "Scatter Plot", "Pie Chart", "Box Plot"], label="Chart Type")
+        x_col = gr.Dropdown(label="X-axis Column")
+        y_col = gr.Dropdown(label="Y-axis Column")
+
+    plot_output = gr.Plot(label="Generated Chart")
+
+    file_input.change(fn=process_file, inputs=file_input, outputs=[dataframe_output, x_col, y_col])
+    gr.Button("Generate Chart").click(fn=update_plot, inputs=[chart_type, x_col, y_col], outputs=plot_output)
+
+demo.launch()