Update app.py

app.py

@@ -152,10 +152,8 @@ def stock_research(symbol, assumed_eps=5.0, growth_rate=0.1, book_value=50000000
     dividends = get_dividends(symbol)
     dates, prices = get_historical_prices(symbol)
 
-    if not info:
-        return "⚠️ Error: Could not fetch company information. Please check your API Key or ticker.", None, None, None, None, None
-    if not price:
-        return "⚠️ Error: Could not fetch current stock price. Please check your API Key or ticker.", None, None, None, None, None
+    if not info or not price:
+        return "⚠️ Error: Could not fetch stock information. Please check your API Key or ticker.", None, None, None, None, None
 
     ratios = calculate_ratios(info['Market Cap'], info['Total Revenue'], price, dividends['Dividend Amount'], assumed_eps, growth_rate, book_value)
     summary = generate_summary(info, ratios)
@@ -169,11 +167,21 @@ def stock_research(symbol, assumed_eps=5.0, growth_rate=0.1, book_value=50000000
     ax.legend()
     ax.grid(True)
 
-    info_table = pd.DataFrame({"Metric": list(info.keys()), "Value": list(info.values())})
-    ratios_table = pd.DataFrame({"Ratio": list(ratios.keys()), "Value": list(ratios.values())})
+    # ✅ Format info_table
+    info_table = pd.DataFrame({
+        "Metric": list(info.keys()),
+        "Value": [f"${v:,.0f}" if isinstance(v, (int, float)) and abs(v) > 1000 else v for v in info.values()]
+    })
+
+    # ✅ Format ratios_table
+    ratios_table = pd.DataFrame({
+        "Ratio": list(ratios.keys()),
+        "Value": [f"{v:.3f}" if isinstance(v, float) else v for v in ratios.values()]
+    })
 
     return summary, info_table, ratios_table, sector_comp, fig
 
+
 def download_report(info_table, ratios_table, sector_comp, summary):
     with tempfile.NamedTemporaryFile(delete=False, suffix=".csv", mode='w') as f:
         info_table.to_csv(f, index=False)