Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+import seaborn as sns
+import matplotlib.pyplot as plt
+
+# Load the Iris dataset
+iris_df = sns.load_dataset('iris')
+
+# Function to plot histogram
+def plot_histogram(csv_file, column):
+    # Read the CSV file
+    custom_df = pd.read_csv(csv_file)
+    
+    # Plot histogram
+    plt.figure(figsize=(8, 6))
+    sns.histplot(custom_df[column])
+    plt.title(f'Histogram for {column}')
+    plt.xlabel(column)
+    plt.ylabel('Frequency')
+    return plt
+
+# Function to plot scatter plot
+def plot_scatter(csv_file, x_axis, y_axis):
+    # Read the CSV file
+    custom_df = pd.read_csv(csv_file)
+    
+    # Plot scatter plot
+    plt.figure(figsize=(8, 6))
+    sns.scatterplot(x=x_axis, y=y_axis, data=custom_df)
+    plt.title(f'Scatter Plot ({x_axis} vs {y_axis})')
+    plt.xlabel(x_axis)
+    plt.ylabel(y_axis)
+    return plt
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=plot_histogram,
+    inputs=["csv", "text"],
+    outputs="plot",
+    title="Histogram Plotter",
+    description="Upload a CSV file and select a column to plot its histogram."
+)
+
+# Add a second interface for scatter plot
+scatter_iface = gr.Interface(
+    fn=plot_scatter,
+    inputs=["csv", "text", "text"],
+    outputs="plot",
+    title="Scatter Plotter",
+    description="Upload a CSV file and select X and Y columns to plot a scatter plot."
+)
+
+# Launch the Gradio interfaces
+iface.launch(share=True)
+scatter_iface.launch(share=True)