app.py

import gradio as gr
import yfinance as yf
import matplotlib.pyplot as plt

def analyze_stock(stock_symbol):
    df = yf.download(stock_symbol, start="2022-01-01", end="2025-01-01", threads=False)
    if df.empty:
        return "❌ No data found. Try another symbol."

    # Calculate moving averages
    df['SMA_20'] = df['Close'].rolling(window=20).mean()
    df['SMA_50'] = df['Close'].rolling(window=50).mean()

    # Plot
    plt.figure(figsize=(12,6))
    plt.plot(df['Close'], label='Close Price', color='blue')
    plt.plot(df['SMA_20'], label='20-day SMA', color='orange')
    plt.plot(df['SMA_50'], label='50-day SMA', color='green')
    plt.title(f'{stock_symbol} Stock Trend')
    plt.xlabel('Date')
    plt.ylabel('Price (in local currency)')
    plt.legend()
    plt.grid(True)
    plt.tight_layout()

    return plt.gcf()

# Dropdown options: (Label, Ticker)
stock_options = [
    ("BMW", "BMW.DE"),
    ("TCS", "TCS.NS"),
    ("HDFC Bank", "HDFCBANK.NS"),
    ("Infosys", "INFY.NS"),
    ("Reliance", "RELIANCE.NS"),
    ("Apple", "AAPL"),
    ("Google", "GOOGL"),
    ("Microsoft", "MSFT")
]

# Gradio Interface
app = gr.Interface(
    fn=analyze_stock,
    inputs=gr.Dropdown(choices=[(name, symbol) for name, symbol in stock_options], label="Select Stock"),
    outputs="plot",
    title="📊 Stock Market Trend Analyzer",
    description="Select a stock to view its trend with 20-day and 50-day moving averages."
)

app.launch()