app.py

import gradio as gr
import altair as alt
import pandas as pd
import os

def create_portfolio_graph(amount):
    # Calculate positions based on the provided amount
    long_position = float(os.getenv('LONG_PORTION')) * amount
    short_position = float(os.getenv('SHORT_PORTION')) * amount

    # Data for the bars
    positions = ['Long Position', 'Short Position']
    percentages = [long_position, short_position]

    data = pd.DataFrame({'Position': positions, 'Percentage': percentages})

    # Creating the bar plot with adjusted width and colors
    chart = alt.Chart(data).mark_bar().encode(
        x=alt.X('Position:N', axis=alt.Axis(title=None)),
        y=alt.Y('Percentage:Q', axis=alt.Axis(title='Funds')),
        color=alt.Color('Position:N', scale=alt.Scale(range=['blue', 'red']))
    ).properties(width=400)  # Adjust width as needed

    return chart


with gr.Blocks() as demo:
    title = gr.Markdown(
        """
        #                      Insert Portfolio Value and Click Submit to See the Recommended Portfolio Allocation          
        """
    )
    amount = gr.Number(value=0, label="Type in the total amount of funds in your portfolio including leverage")
    button = gr.Button(value="Submit")
    plot = gr.Plot(label="Portfolio Composition Chart")
    demo.load(create_portfolio_graph, inputs=[amount], outputs=[plot])
    button.click(create_portfolio_graph, [amount], plot)

if __name__ == "__main__":
    demo.launch()