Create portfolio.py

portfolio.py

@@ -0,0 +1,19 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+
+def analyze_portfolio(file, risk_profile):
+    df = pd.read_csv(file.name)
+    fig, ax = plt.subplots()
+    df.groupby('Asset')['Value'].sum().plot.pie(
+        autopct='%1.1f%%', 
+        ax=ax,
+        ylabel=''
+    )
+    
+    # Mock recommendations
+    recs = f"✅ {risk_profile} Portfolio Suggestions:\n"
+    recs += "- Increase international stocks by 15%\n" 
+    recs += "- Reduce tech sector exposure\n"
+    recs += "- Add 5% treasury bonds"
+    
+    return fig, recs