app.py

import gradio as gr
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from io import StringIO

# Function to plot histogram
def plot_histogram(file_contents, column, ax=None):
    # Read the CSV file
    custom_df = pd.read_csv(StringIO(file_contents))
    
    # Plot histogram
    sns.histplot(custom_df[column], ax=ax)
    ax.set_title(f'Histogram for {column}')
    ax.set_xlabel(column)
    ax.set_ylabel('Frequency')

# Function to plot scatter plot
def plot_scatter(file_contents, x_axis, y_axis, ax=None):
    # Read the CSV file
    custom_df = pd.read_csv(StringIO(file_contents))
    
    # Plot scatter plot
    sns.scatterplot(x=x_axis, y=y_axis, data=custom_df, ax=ax)
    ax.set_title(f'Scatter Plot ({x_axis} vs {y_axis})')
    ax.set_xlabel(x_axis)
    ax.set_ylabel(y_axis)

def layout_fn(file, text, text_1, text_2):
    # Create the figure with subplots
    fig, axes = plt.subplots(1, 2, figsize=(16, 6))

    # Check if data is uploaded and a column is selected for histogram
    if file and text:
        plot_histogram(file.getvalue(), text, ax=axes[0])
    else:
        axes[0].text(0.5, 0.5, "Upload a CSV and select a column", ha='center', va='center')

    # Check if data is uploaded and both x and y columns are selected for scatter plot
    if file and text_1 and text_2:
        plot_scatter(file.getvalue(), text_1, text_2, ax=axes[1])
    else:
        axes[1].text(0.5, 0.5, "Upload a CSV, select X and Y columns", ha='center', va='center')

    # Adjust layout
    fig.suptitle("Data Visualization")
    plt.tight_layout()
    return fig

# Create the Gradio interface
interface = gr.Interface(
    fn=layout_fn,
    inputs=[
        gr.inputs.File(label="Upload CSV file"),
        gr.inputs.Dropdown(label="Select Column (Histogram)", choices=[]),
        gr.inputs.Dropdown(label="Select X-axis (Scatter)", choices=[]),
        gr.inputs.Dropdown(label="Select Y-axis (Scatter)", choices=[]),
    ],
    outputs="plot",
    title="Data Visualization Tool",
    description="Upload a CSV file, select columns for histogram and scatter plots.",
)

def update_choices(file):
    if file:
        data = pd.read_csv(StringIO(file.getvalue()))
        choices = list(data.columns)
        interface.set_config(
            inputs=[
                gr.inputs.File(label="Upload CSV file"),
                gr.inputs.Dropdown(label="Select Column (Histogram)", choices=choices),
                gr.inputs.Dropdown(label="Select X-axis (Scatter)", choices=choices),
                gr.inputs.Dropdown(label="Select Y-axis (Scatter)", choices=choices),
            ]
        )

interface.run(share=True,fn_change=update_choices)