app.py

import gradio as gr
import yfinance as yf
import pandas as pd
import random

# Mapping company names to their ticker symbols
company_dict = {
    "Apple": "AAPL",
    "Google": "GOOGL",
    "Microsoft": "MSFT",
    "Amazon": "AMZN",
    "Tesla": "TSLA"
}

# Function to fetch ESG data for the selected company
def fetch_esg_data(company_name):
    # Get the ticker symbol from the company name
    ticker = company_dict[company_name]
    
    # Fetch ESG data from Yahoo Finance
    stock = yf.Ticker(ticker)
    esg_data = stock.sustainability
    
    # If ESG data is available, process it into a DataFrame
    if esg_data is not None:
        esg_df = pd.DataFrame(esg_data)

        # Extract only the relevant ESG scores and convert to a DataFrame
        esg_scores = esg_df.loc[["environmentScore", "socialScore", "governanceScore"], :].dropna().astype(float)
        
        # Prepare a DataFrame for plotting
        plot_df = pd.DataFrame({
            "ESG Category": ["Environment", "Social", "Governance"],
            "Score": esg_scores.squeeze().values
        })
        
        return plot_df
    else:
        # Return an empty DataFrame if no data is available
        return pd.DataFrame()

# Gradio interface with a dropdown for company selection and line plot visualization
def app_interface():
    with gr.Blocks() as app:
        # Dropdown to select company name
        company = gr.Dropdown(label="Select Company", choices=list(company_dict.keys()), value="Apple")
        
        # Button to fetch and plot ESG data
        plot_button = gr.Button("Generate ESG Plot")
        
        # LinePlot component for displaying the ESG data
        plot_output = gr.LinePlot(label="ESG Scores Plot", x="ESG Category", y="Score", overlay_point=True)

        # Define the action when the "Generate ESG Plot" button is clicked
        plot_button.click(fn=fetch_esg_data, 
                          inputs=company, 
                          outputs=plot_output)

    return app

# Launch the Gradio app
app = app_interface()
app.launch()