app.py

import gradio as gr
import yfinance as yf

# --- Define your logic ---

def analyze_stock(ticker):
    """
    Fetch current and previous data for the given stock symbol,
    check price change, and give BUY or SELL recommendation.
    """
    try:
        stock = yf.Ticker(ticker)
        data = stock.history(period="5d")
        
        if data.empty:
            return f"⚠️ No data found for '{ticker}'"

        # Get current and previous close
        current_price = data['Close'][-1]
        previous_price = data['Close'][-2]

        # Calculate % change
        change_percent = ((current_price - previous_price) / previous_price) * 100

        # --- Decision logic ---
        recommendation = "📊 HOLD"
        if 10 <= change_percent <= 11:
            recommendation = "🟢 BUY SIGNAL"
        elif change_percent <= -14:
            recommendation = "🔴 SELL SIGNAL"

        return f"""
📈 **{ticker.upper()} Stock Analysis**

- Current Price: {current_price:.2f} USD  
- Previous Close: {previous_price:.2f} USD  
- Change: {change_percent:.2f}%

**AI Suggestion:** {recommendation}
        """
    except Exception as e:
        return f"❌ Error: {str(e)}"

# --- Gradio UI ---
iface = gr.Interface(
    fn=analyze_stock,
    inputs=gr.Textbox(label="Enter Stock Symbol (e.g., AAPL, TSLA, INFY.NS)"),
    outputs=gr.Markdown(label="Result"),
    title="🤖 Smart AI Bull",
    description="An AI-powered stock signal tracker that shows when to BUY or SELL based on % gain/loss.",
)

iface.launch()