Update app.py

app.py

@@ -2,7 +2,7 @@ import logging
 import json
 import gradio as gr
 from transformers import pipeline
-import torch  # Add this line to import torch
+import torch
 
 # Set up logging
 logging.basicConfig(
@@ -96,4 +96,38 @@ with gr.Blocks() as iface:
         {"title": "Bitcoin Price Surges", "description": "Bitcoin's price surged above $30,000."},
         {"title": "Bitcoin Faces Challenges", "description": "Regulators are scrutinizing Bitcoin."}
       ]
-    },
+    },
+    {
+      "coin": "XRP",
+      "articles": [
+        {"title": "XRP Gains Momentum", "description": "XRP's price rose after a favorable court ruling."},
+        {"title": "XRP Faces Uncertainty", "description": "Traders remain cautious about XRP's future."}
+      ]
+    },
+    {
+      "coin": "ETH",
+      "articles": [
+        {"title": "Ethereum Upgrades Network", "description": "Ethereum completed its latest upgrade, improving scalability."},
+        {"title": "Ethereum Faces Gas Fee Criticism", "description": "Users complain about high gas fees on Ethereum."}
+      ]
+    }
+  ]
+}"""
+        )
+    
+    with gr.Row():
+        analyze_button = gr.Button("Analyze Sentiment", size="sm")
+    
+    with gr.Row():
+        output_json = gr.JSON(label="Sentiment Results")
+
+    # Button click handler
+    analyze_button.click(
+        analyze_sentiment,
+        inputs=[input_json],
+        outputs=[output_json],
+    )
+
+# Launch the Gradio app
+logging.info("Launching Gradio interface")
+iface.queue().launch()