tab2.py

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

# Function to load a file and plot its contents as a DataFrame


def execute(file_path):
    try:
        # Load the file into a DataFrame
        data = pd.read_csv(file_path)  # You can change this to read_excel for Excel files

        # Create a simple bar plot for demonstration
        data.plot(kind='bar')
        plt.xlabel("X-axis")
        plt.ylabel("Y-axis")
        plt.title("Data Visualization")

        # Save the plot as an image
        plot_image_path = 'plot.png'
        plt.savefig(plot_image_path)

        return f"Data loaded from {file_path}", plot_image_path
    except Exception as e:
        return str(e)
def load_inputs():
    gr.Text()

output_label = "Saídas"

title = 'Aba 2'

description = 'Carregar arquivo de pasta predefinida e visualizar'