Update app.py

app.py

@@ -208,18 +208,18 @@ def inference(image, background_enhance, face_upsample, upscale, codeformer_fide
         return None, None
 
 
-title = "CodeFormer: Robust Face Restoration and Enhancement Network"
+title = "CodeFormer: 强大的面部修复和增强网络"
 description = r"""<center><img src='https://user-images.githubusercontent.com/14334509/189166076-94bb2cac-4f4e-40fb-a69f-66709e3d98f5.png' alt='CodeFormer logo'></center>
-<b>Official Gradio demo</b> for <a href='https://github.com/sczhou/CodeFormer' target='_blank'><b>Towards Robust Blind Face Restoration with Codebook Lookup Transformer (NeurIPS 2022)</b></a>.<br>
-🔥 CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.<br>
-🤗 Try CodeFormer for improved stable-diffusion generation!<br>
+本页面是为方便英语不太好朋友了解如何使用，采用的是CPU，运算时间较长，请移步<b>官方Gradio示例获取更好效果</b> for <a href='https://github.com/sczhou/CodeFormer' target='_blank'><b>Towards Robust Blind Face Restoration with Codebook Lookup Transformer (NeurIPS 2022)</b></a>.<br>
+🔥 CodeFormer对于老照片和由AI生成人脸的强大的面部恢复算法.<br>
+🤗 使用CodeFormer来提高stable-diffusion的生成效果!<br>
 """
 article = r"""
-If CodeFormer is helpful, please help to ⭐ the <a href='https://github.com/sczhou/CodeFormer' target='_blank'>Github Repo</a>. Thanks! 
+如果CodeFormer对你有帮助, 请在 <a href='https://github.com/sczhou/CodeFormer' target='_blank'>Github Repo</a>点 ⭐. 谢谢! 
 [![GitHub Stars](https://img.shields.io/github/stars/sczhou/CodeFormer?style=social)](https://github.com/sczhou/CodeFormer)
 
 ---
-
+点击<a href='https://www.toolchest.cn' target='_blank'>返回智能工具箱</a>查看更多好玩的人工智能项目
 📝 **Citation**
 
 If our work is useful for your research, please consider citing:
@@ -246,14 +246,14 @@ If you have any questions, please feel free to reach me out at <b>shangchenzhou@
 
 demo = gr.Interface(
     inference, [
-        gr.inputs.Image(type="filepath", label="Input"),
-        gr.inputs.Checkbox(default=True, label="Background_Enhance"),
-        gr.inputs.Checkbox(default=True, label="Face_Upsample"),
-        gr.inputs.Number(default=2, label="Rescaling_Factor (up to 4)"),
+        gr.inputs.Image(type="filepath", label="输入"),
+        gr.inputs.Checkbox(default=True, label="背景增强"),
+        gr.inputs.Checkbox(default=True, label="面部增强"),
+        gr.inputs.Number(default=2, label="放大倍数 (最大4倍)"),
         gr.Slider(0, 1, value=0.5, step=0.01, label='Codeformer_Fidelity (0 for better quality, 1 for better identity)')
     ], [
-        gr.outputs.Image(type="numpy", label="Output"),
-        gr.outputs.File(label="Download the output")
+        gr.outputs.Image(type="numpy", label="输出"),
+        gr.outputs.File(label="下载输出")
     ],
     title=title,
     description=description,