update

app.py

@@ -90,8 +90,9 @@ def convert_to_dataframe(analyzed_articles):
 with gr.Blocks() as iface:
     gr.Markdown("# Trading Asset Sentiment Analysis")
     gr.Markdown("Analyze the sentiment of recent articles related to a trading asset.")
-    gr.Markdown("---")
-    gr.Markdown("### 👨‍💻 Author: **Nanda Safiq Alfiansyah** - time")
+    gr.Markdown(
+        f"### 👨‍💻 Author: [**Nanda Safiq Alfiansyah**](https://ndav.my.id)"
+    )
     gr.Markdown("### 🆔 NIM: 21533401 | Kelas: TI 7A")
     gr.Markdown(
         """
@@ -112,23 +113,72 @@ with gr.Blocks() as iface:
         analyze_button = gr.Button("Analyze Sentiment", size="sm")
 
     gr.Examples(
-        examples=[
-            "Bitcoin",
-            "Tesla",
-            "Apple",
-            "Amazon",
-            "Microsoft",
-            "Meta",
-            "Google",
-            "Ethereum",
-            "Gold",
-            "Crude Oil",
-            "USD/EUR",
-            "Alibaba",
-            "Netflix",
-            "Samsung",
-        ],
-        inputs=input_asset,
+       examples=[
+        # Cryptocurrencies
+        "Bitcoin",
+        "Ethereum",
+        "Ripple",
+        "Litecoin",
+        "Binance Coin",
+        "Cardano",
+        "Polkadot",
+        "Solana",
+
+        # Tech stocks
+        "Tesla",
+        "Apple",
+        "Amazon",
+        "Microsoft",
+        "Meta",
+        "Google",
+        "Netflix",
+        "NVIDIA",
+
+        # Commodities
+        "Gold",
+        "Silver",
+        "Platinum",
+        "Crude Oil",
+        "Natural Gas",
+        "Copper",
+
+        # Indices
+        "S&P 500",
+        "Dow Jones",
+        "Nasdaq 100",
+        "FTSE 100",
+        "DAX 30",
+        "Nikkei 225",
+        "Hang Seng",
+
+        # Forex pairs
+        "USD/EUR",
+        "USD/JPY",
+        "GBP/USD",
+        "AUD/USD",
+        "USD/CAD",
+        "USD/CHF",
+
+        # Global companies
+        "Alibaba",
+        "Samsung",
+        "Toyota",
+        "Sony",
+        "Roche",
+        "Volkswagen",
+        "Tencent",
+        "HSBC",
+
+        # Other popular assets
+        "Coca-Cola",
+        "PepsiCo",
+        "McDonald's",
+        "Procter & Gamble",
+        "Johnson & Johnson",
+        "Intel",
+        "IBM",
+    ],
+    inputs=input_asset,
     )
 
     with gr.Row():