gradio_pie_top_five.py

#drag and drop program that creates a pie chart from the single column of data in the csv file.  
#The pie chart will show the top five most frequent occurring values in the data set submitted. 

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

def generate_pie_chart(file):
    try:
        # Read the uploaded CSV
        df = pd.read_csv(file)
        
        # Ensure the CSV has exactly one column
        if df.shape[1] != 1:
            return None, "Error: The uploaded CSV must have exactly one column of data."
        
        # Extract the single column
        column = df.iloc[:, 0]
        
        # Compute the top 5 most frequent values
        top_five = column.value_counts().head(5)
        
        # Generate the pie chart
        plt.figure(figsize=(8, 6))
        plt.pie(
            top_five.values,
            labels=top_five.index.astype(str),
            autopct='%1.1f%%',
            startangle=140,
            colors=plt.cm.tab10.colors
        )
        plt.title("Top 5 Most Frequent Values", fontsize=14)
        
        # Save the pie chart to a temporary file
        temp_image_path = tempfile.mktemp(suffix=".png")
        plt.savefig(temp_image_path)
        plt.close()
        
        return temp_image_path, "Pie chart generated successfully."
    except Exception as e:
        return None, f"Error: {e}"

# Gradio interface
with gr.Blocks() as app:
    gr.Markdown("### Drag and Drop a CSV File to Create a Pie Chart")
    
    csv_input = gr.File(label="Upload CSV File", file_types=[".csv"])
    graph_output = gr.Image(label="Pie Chart")
    status_output = gr.Textbox(label="Status", interactive=False)
    
    generate_button = gr.Button("Generate Pie Chart")
    
    generate_button.click(
        generate_pie_chart,
        inputs=[csv_input],
        outputs=[graph_output, status_output]
    )

app.launch(server_name="0.0.0.0", server_port=7863)