update

app.py

@@ -6,6 +6,7 @@ import torch
 from GoogleNews import GoogleNews
 from transformers import pipeline
 
+
 # Set up logging
 logging.basicConfig(
     level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
@@ -88,8 +89,16 @@ 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("### 🆔 NIM: 21533401 | Kelas: TI 7A")
     gr.Markdown(
-        "Enter the name of a trading asset, and I'll fetch recent articles and analyze their sentiment!"
+        """
+        🔎 **How it works:**  
+        Enter the name of a trading asset below, and I'll fetch the latest articles 
+        and provide a detailed sentiment analysis. Let's dive in!
+        """
     )
 
     with gr.Row():
@@ -108,6 +117,16 @@ with gr.Blocks() as iface:
             "Tesla",
             "Apple",
             "Amazon",
+            "Microsoft",
+            "Meta",
+            "Google",
+            "Ethereum",
+            "Gold",
+            "Crude Oil",
+            "USD/EUR",
+            "Alibaba",
+            "Netflix",
+            "Samsung",
         ],
         inputs=input_asset,
     )