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DOWNGRADE FIX: Rollback to Gradio 4.38.1 + Robust Launch
Browse files- Downgrade to gradio==4.38.1 to avoid schema bug in 4.44.0
- Use simple gr.Interface with flagging_mode='never'
- Add multi-tier error handling for different environments
- Progressive fallback: default -> share=True -> server config
- This should resolve the persistent TypeError bool iteration issue
- Reference: GitHub issue #4046 about localhost accessibility
- app.py +22 -18
- requirements.txt +1 -1
app.py
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@@ -61,26 +61,30 @@ def predict_sign_language(image):
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except Exception as e:
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return f"❌ 處理錯誤: {str(e)}"
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#
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gr.
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gr.
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image_input.change(predict_sign_language, inputs=image_input, outputs=text_output)
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if __name__ == "__main__":
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print("🎉 SignView2.0 手語辨識系統已啟動!")
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import os
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demo.launch(
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except Exception as e:
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return f"❌ 處理錯誤: {str(e)}"
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# 使用最簡單的Interface避開所有schema問題
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demo = gr.Interface(
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fn=predict_sign_language,
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inputs=gr.Image(),
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outputs=gr.Textbox(lines=10),
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title="🤟 SignView2.0 - 手語辨識系統",
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description="支援34種手語詞彙的即時辨識系統,準確率達94.25%\n\n上傳影像即可開始辨識手語動作",
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flagging_mode="never"
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)
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if __name__ == "__main__":
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print("🎉 SignView2.0 手語辨識系統已啟動!")
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# 根據環境自動選擇最佳配置
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import os
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try:
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# 嘗試最簡單的launch,讓Gradio自己處理
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demo.launch()
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except Exception as e:
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print(f"預設啟動失敗,嘗試備用方案: {e}")
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try:
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# 如果在Spaces環境,強制使用share=True
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demo.launch(share=True)
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except Exception as e2:
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print(f"備用方案也失敗: {e2}")
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# 最後嘗試基本配置
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demo.launch(server_name="0.0.0.0", server_port=7860, share=False)
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requirements.txt
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@@ -1,4 +1,4 @@
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gradio==4.
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torch>=2.0.0
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torchvision>=0.15.0
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opencv-python>=4.8.0
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gradio==4.38.1
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torch>=2.0.0
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torchvision>=0.15.0
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opencv-python>=4.8.0
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