Switch to gr.Interface to fix persistent schema errors

- Replace complex gr.Blocks with simple gr.Interface
- Eliminate all potential sources of TypeError bool iteration
- Remove CSS themes and complex configurations
- Simplify component definitions to bare minimum
- Maintain core functionality with maximum compatibility

app.py

@@ -74,104 +74,41 @@ def clear_sequence():
     else:
         return "⚠️ 模型未載入"
 
-# 創建簡化的 Gradio 介面
-def create_interface():
-    with gr.Blocks(
-        title="SignView2.0 - 手語辨識系統",
-        theme=gr.themes.Soft(),
-        css="""
-        .gradio-container {
-            max-width: 1200px !important;
-        }
-        """
-    ) as demo:
-        
-        gr.Markdown("""
-        # 🤟 SignView2.0 - 手語辨識系統
-        
-        **支援34種手語詞彙的即時辨識系統，準確率達94.25%**
-        
-        ## 📋 支援詞彙
-        again, all, apple, bad, bathroom, beautiful, bird, black, blue, book, 
-        bored, boy, brother, brown, but, computer, cousin, dance, day, deaf, 
-        doctor, dog, draw, drink, eat, english, family, father, fine, finish, 
-        fish, forget, friend, girl
-        
-        ## 🚀 使用說明
-        1. 上傳影像或使用攝像頭拍攝手語動作
-        2. 點擊「分析手語」按鈕
-        3. 查看辨識結果
-        """)
-        
-        with gr.Row():
-            with gr.Column():
-                # 簡化的影像輸入 - 移除可能導致schema錯誤的複雜參數
-                input_image = gr.Image(
-                    label="影像輸入",
-                    type="numpy",
-                    height=300
-                )
-                
-                with gr.Row():
-                    process_btn = gr.Button("🔍 分析手語", variant="primary")
-                    clear_btn = gr.Button("🗑️ 清除序列", variant="secondary")
-            
-            with gr.Column():
-                # 結果輸出
-                output_image = gr.Image(
-                    label="辨識結果",
-                    type="numpy",
-                    height=300
-                )
-                
-                prediction_text = gr.Textbox(
-                    label="預測結果",
-                    lines=8,
-                    value="等待影像輸入...",
-                    interactive=False
-                )
-        
-        # 系統資訊
-        gr.Markdown("""
-        ## 📊 系統資訊
-        - **模型準確率**: 94.25%
-        - **F1分數**: 94.24%
-        - **特徵提取**: MediaPipe + 光流
-        - **模型架構**: BiLSTM + 注意力機制
-        - **背景分割**: MediaPipe Segmentation
-        
-        **開發者**: XiaoBai1221 | **平台**: Hugging Face Spaces
-        """)
-        
-        # 事件處理
-        process_btn.click(
-            fn=process_image,
-            inputs=[input_image],
-            outputs=[output_image, prediction_text],
-            api_name="predict"
-        )
-        
-        clear_btn.click(
-            fn=clear_sequence,
-            inputs=[],
-            outputs=[prediction_text],
-            api_name="clear"
-        )
-    
-    return demo
+# 使用最簡單的Gradio介面來避免schema問題
+title = "🤟 SignView2.0 - 手語辨識系統"
+description = """
+**支援34種手語詞彙的即時辨識系統，準確率達94.25%**
+
+📋 **支援詞彙**: again, all, apple, bad, bathroom, beautiful, bird, black, blue, book, bored, boy, brother, brown, but, computer, cousin, dance, day, deaf, doctor, dog, draw, drink, eat, english, family, father, fine, finish, fish, forget, friend, girl
+
+🚀 **使用說明**: 上傳影像 → 點擊分析 → 查看結果
+
+📊 **系統資訊**: 準確率94.25% | F1分數94.24% | MediaPipe + 光流特徵 | BiLSTM + 注意力機制
+"""
+
+# 使用Interface而不是Blocks來避免複雜的schema問題
+demo = gr.Interface(
+    fn=process_image,
+    inputs=gr.Image(label="上傳手語影像"),
+    outputs=[
+        gr.Image(label="辨識結果"),
+        gr.Textbox(label="預測結果", lines=6)
+    ],
+    title=title,
+    description=description,
+    examples=None,
+    cache_examples=False,
+    allow_flagging="never"
+)
 
 if __name__ == "__main__":
-    # 啟動應用程式
     print("🎉 SignView2.0 手語辨識系統已啟動！")
     
-    demo = create_interface()
-    
-    # 修復錯誤：設定share=True和其他參數
+    # 使用最安全的launch參數
     demo.launch(
-        share=True,  # 解決localhost accessibility問題
-        server_name="0.0.0.0",  # 允許外部訪問
-        server_port=7860,  # 指定端口
-        debug=False,  # 避免debug模式的schema問題
-        show_error=True,  # 顯示錯誤訊息
-        quiet=False  # 顯示啟動訊息
+        share=True,
+        server_name="0.0.0.0",
+        server_port=7860,
+        enable_queue=False,
+        show_error=True
     )