Update app.py

app.py

@@ -1,32 +1,78 @@
 import gradio as gr
 
+demo_data = [
+    {
+        "expression": "stumble upon",
+        "meaning": "偶然发现",
+        "why": "比 find 更自然，更常见于真实英语表达。",
+        "example": "I stumbled upon a useful article while browsing online.",
+        "rewrite": "I accidentally found a useful article.\n→ I stumbled upon a useful article."
+    },
+    {
+        "expression": "cut corners",
+        "meaning": "偷工减料",
+        "why": "高频商务和日常表达。",
+        "example": "The company cut corners to save money.",
+        "rewrite": "The company tried to save money.\n→ The company cut corners."
+    },
+    {
+        "expression": "on the fence",
+        "meaning": "犹豫不决",
+        "why": "口语中非常常见。",
+        "example": "I'm still on the fence about changing jobs.",
+        "rewrite": "I haven't decided yet.\n→ I'm still on the fence."
+    }
+]
+
 def analyze(text):
-    if not text.strip():
-        return "Please paste some English text."
+    cards = ""
+
+    for item in demo_data:
+        cards += f"""
+### {item['expression']}
+
+**Meaning**  
+{item['meaning']}
+
+**Why Learn It?**  
+{item['why']}
 
-    return """
-1. stumble upon
-   偶然发现
+**Example**  
+{item['example']}
 
-2. cut corners
-   偷工减料
+**Native Upgrade**  
+{item['rewrite']}
+
+---
 
-3. on the fence
-   犹豫不决
 """
 
-demo = gr.Interface(
-    fn=analyze,
-    inputs=gr.Textbox(
-        lines=12,
-        label="Paste English Content"
-    ),
-    outputs=gr.Textbox(
+    return cards
+
+
+with gr.Blocks(title="InContext") as demo:
+
+    gr.Markdown(
+        """
+# InContext
+
+Learn reusable English expressions from real-world content.
+"""
+    )
+
+    text_input = gr.Textbox(
         lines=12,
-        label="Useful Expressions"
-    ),
-    title="InContext",
-    description="Learn useful English expressions from real content."
-)
+        placeholder="Paste English content here..."
+    )
+
+    analyze_btn = gr.Button("Analyze")
+
+    output = gr.Markdown()
+
+    analyze_btn.click(
+        fn=analyze,
+        inputs=text_input,
+        outputs=output
+    )
 
 demo.launch()