Update app.py

app.py

@@ -23,17 +23,18 @@ def parse_args() -> argparse.Namespace:
 DESCRIPTION = '''
 <div align=center>
 <h1 style="font-weight: 900; margin-bottom: 7px;">
-   Portrait Style Transfer with <a href="https://github.com/williamyang1991/VToonify">VToonify</a>
+   使用<a href="https://github.com/williamyang1991/VToonify">VToonify</a>将视频人物卡通化
 </h1>
-<video id="video" width=50% controls="" preload="none" poster="https://repository-images.githubusercontent.com/534480768/53715b0f-a2df-4daa-969c-0e74c102d339">
-<source id="mp4" src="https://user-images.githubusercontent.com/18130694/189483939-0fc4a358-fb34-43cc-811a-b22adb820d57.mp4
-" type="video/mp4">
-</videos></div>
+
+<font color=red><h2style="font-weight: 900; margin-bottom: 7px;">
+   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，请稳步<a href="https://huggingface.co/spaces/PKUWilliamYang/VToonify">原VToonify</a>，速度将提升数十倍
+</h2></font>
+</div>
 '''
 FOOTER = '<div align=center><img id="visitor-badge" alt="visitor badge" src="https://visitor-badge.laobi.icu/badge?page_id=williamyang1991/VToonify" /></div>'
 
 ARTICLE = r"""
-If VToonify is helpful, please help to ⭐ the <a href='https://github.com/williamyang1991/VToonify' target='_blank'>Github Repo</a>. Thanks! 
+如果VToonify对你有帮助请在<a href='https://github.com/williamyang1991/VToonify' target='_blank'>Github Repo</a>上为它点亮⭐.谢谢! 
 [![GitHub Stars](https://img.shields.io/github/stars/williamyang1991/VToonify?style=social)](https://github.com/williamyang1991/VToonify)
 ---
 📝 **Citation**
@@ -88,15 +89,15 @@ def main():
         gr.Markdown(DESCRIPTION)
     
         with gr.Box():
-            gr.Markdown('''## Step 1(Select Style)
-    - Select **Style Type**.
-        - Type with `-d` means it supports style degree adjustment.
-        - Type without `-d` usually has better toonification quality.
+            gr.Markdown('''## 第1步(选择卡通类型)
+    - 选择 **卡通类型**.
+        - 带有 `-d` 表示它可以调整卡通化的程度.
+        - 不带 `-d` 通常会有更好的卡通效果.
 
     ''')
             with gr.Row():
                 with gr.Column():
-                    gr.Markdown('''Select Style Type''')  
+                    gr.Markdown('''选择类型''')  
                     with gr.Row():
                         style_type = gr.Radio(label='Style Type',
                                               choices=['cartoon1','cartoon1-d','cartoon2-d','cartoon3-d',
@@ -108,82 +109,82 @@ def main():
                                              )   
                         exstyle = gr.Variable()
                     with gr.Row():
-                        loadmodel_button = gr.Button('Load Model')
+                        loadmodel_button = gr.Button('加载模型')
                     with gr.Row():
                         load_info = gr.Textbox(label='Process Information', interactive=False, value='No model loaded.')
                 with gr.Column():
-                    gr.Markdown('''Reference Styles
-    ![example](https://raw.githubusercontent.com/williamyang1991/tmpfile/master/vtoonify/style.jpg)''')   
+                    gr.Markdown('''类型参考
+    ![示例](https://raw.githubusercontent.com/williamyang1991/tmpfile/master/vtoonify/style.jpg)''')   
 
 
         with gr.Box():
-            gr.Markdown('''## Step 2 (Preprocess Input Image / Video)
-    - Drop an image/video containing a near-frontal face to the **Input Image**/**Input Video**.
-    - Hit the **Rescale Image**/**Rescale First Frame** button.
-        - Rescale the input to make it best fit the model.
-        - The final image result will be based on this **Rescaled Face**. Use padding parameters to adjust the background space.
-        - **<font color=red>Solution to [Error: no face detected!]</font>**: VToonify uses dlib.get_frontal_face_detector but sometimes it fails to detect a face. You can try several times or use other images until a face is detected, then switch back to the original image.
-    - For video input, further hit the **Rescale Video** button.
-        - The final video result will be based on this **Rescaled Video**. To avoid overload, video is cut to at most **100/300** frames for CPU/GPU, respectively.
+            gr.Markdown('''## 第2步 (对图片或视频进行预处理)
+    - 拖动1个含有人脸的图片或视频到 **输入图像**/**输入视频**.
+    - 点击 **缩放图像**/**缩放第1帧** 按钮.
+        - 缩放输入使它更好的适用模型.
+        - 最后的图像结果将是基于 **缩放后的脸**. 使用边框距离参数调整背景.
+        - **<font color=red>若出现[Error: no face detected!]错误</font>**: 是因为vtoonify没有检测到人脸，请调整后再试，或者更换原始图像.
+    - 对于视频输入, 则点击 **缩放视频** 按钮.
+        - 最后的视频结果将是基于 **缩放后的视频**. 为了避免超出硬件处理能力, 视频将被裁剪成 **100/300** 帧来适应 CPU/GPU.
 
     ''')
             with gr.Row():
                 with gr.Box():
                     with gr.Column():
-                        gr.Markdown('''Choose the padding parameters.
-        ![example](https://raw.githubusercontent.com/williamyang1991/tmpfile/master/vtoonify/rescale.jpg)''')
+                        gr.Markdown('''调整边框距离参数.
+        ![示例](https://raw.githubusercontent.com/williamyang1991/tmpfile/master/vtoonify/rescale.jpg)''')
                         with gr.Row():
                             top = gr.Slider(128,
                                             256,
                                             value=200,
                                             step=8,
-                                            label='top')
+                                            label='上')
                         with gr.Row():
                             bottom = gr.Slider(128,
                                             256,
                                             value=200,
                                             step=8,
-                                            label='bottom')
+                                            label='下')
                         with gr.Row():
                             left = gr.Slider(128,
                                             256,
                                             value=200,
                                             step=8,
-                                            label='left')
+                                            label='左')
                         with gr.Row():
                             right = gr.Slider(128,
                                             256,
                                             value=200,
                                             step=8,
-                                            label='right')     
+                                            label='右')     
                 with gr.Box():
                     with gr.Column():
-                        gr.Markdown('''Input''')                
+                        gr.Markdown('''输入''')                
                         with gr.Row():
-                            input_image = gr.Image(label='Input Image',
+                            input_image = gr.Image(label='输入图像',
                                                            type='filepath')
                         with gr.Row():
-                            preprocess_image_button = gr.Button('Rescale Image') 
+                            preprocess_image_button = gr.Button('缩放图像') 
                         with gr.Row():
-                            input_video = gr.Video(label='Input Video',
+                            input_video = gr.Video(label='输入视频',
                                                    mirror_webcam=False,
                                                           type='filepath')  
                         with gr.Row():
-                            preprocess_video0_button = gr.Button('Rescale First Frame')
-                            preprocess_video1_button = gr.Button('Rescale Video')
+                            preprocess_video0_button = gr.Button('缩放第一帧')
+                            preprocess_video1_button = gr.Button('绽放视频')
 
                 with gr.Box():
                     with gr.Column():
                         gr.Markdown('''View''')
                         with gr.Row():
-                            input_info = gr.Textbox(label='Process Information', interactive=False, value='n.a.')
+                            input_info = gr.Textbox(label='处理信息', interactive=False, value='n.a.')
                         with gr.Row():
-                            aligned_face = gr.Image(label='Rescaled Face',
+                            aligned_face = gr.Image(label='绽放脸',
                                             type='numpy',
                                             interactive=False)
                             instyle = gr.Variable()
                         with gr.Row():
-                            aligned_video = gr.Video(label='Rescaled Video',
+                            aligned_video = gr.Video(label='绽放视频',
                                             type='mp4',
                                             interactive=False)  
             with gr.Row():
@@ -191,7 +192,7 @@ def main():
                     paths = ['./vtoonify/data/pexels-andrea-piacquadio-733872.jpg','./vtoonify/data/i5R8hbZFDdc.jpg','./vtoonify/data/yRpe13BHdKw.jpg','./vtoonify/data/ILip77SbmOE.jpg','./vtoonify/data/077436.jpg','./vtoonify/data/081680.jpg']
                     example_images = gr.Dataset(components=[input_image],
                                             samples=[[path] for path in paths],
-                                               label='Image Examples')
+                                               label='示例图像')
                 with gr.Column():
                     #example_videos = gr.Dataset(components=[input_video], samples=[['./vtoonify/data/529.mp4']], type='values')
                     #to render video example on mouse hover/click        
@@ -205,40 +206,40 @@ def main():
                     example_videos.click(load_examples, example_videos, input_video) 
 
         with gr.Box():
-            gr.Markdown('''## Step 3 (Generate Style Transferred Image/Video)''')
+            gr.Markdown('''## 第3步(生成 图像/视频)''')
             with gr.Row():
                 with gr.Column():
                     gr.Markdown('''
 
-                        - Adjust **Style Degree**.
-                        - Hit **Toonify!** to toonify one frame. Hit **VToonify!** to toonify full video.
-                            - Estimated time on 1600x1440 video of 300 frames: 1 hour (CPU); 2 mins (GPU)
+                        - 调整 **卡通化程度**.
+                        - 点击 **图像卡通化!** 来将第1帧卡通化. 点击 **视频卡通化!** 来让整个视频卡通化.
+                            - 预计时间 对于300帧的1600x1440视频 : 1 小时 (CPU); 2 分钟 (GPU)
                         ''')
                     style_degree = gr.Slider(0,
                                              1,
                                              value=0.5,
                                              step=0.05,
-                                             label='Style Degree')  
+                                             label='卡通化程度')  
                 with gr.Column():
-                    gr.Markdown('''![example](https://raw.githubusercontent.com/williamyang1991/tmpfile/master/vtoonify/degree.jpg)
+                    gr.Markdown('''![示例](https://raw.githubusercontent.com/williamyang1991/tmpfile/master/vtoonify/degree.jpg)
                         ''')  
             with gr.Row():
-                output_info = gr.Textbox(label='Process Information', interactive=False, value='n.a.')
+                output_info = gr.Textbox(label='示例信息', interactive=False, value='n.a.')
             with gr.Row():
                 with gr.Column():
                     with gr.Row():
-                        result_face = gr.Image(label='Result Image',
+                        result_face = gr.Image(label='图像结果',
                                             type='numpy',
                                             interactive=False)
                     with gr.Row():
-                        toonify_button = gr.Button('Toonify!')
+                        toonify_button = gr.Button('图像卡通化!')
                 with gr.Column():
                     with gr.Row():
-                        result_video = gr.Video(label='Result Video',
+                        result_video = gr.Video(label='视频结果',
                                             type='mp4',
                                             interactive=False)    
                     with gr.Row():
-                        vtoonify_button = gr.Button('VToonify!')
+                        vtoonify_button = gr.Button('视频卡通化!')
         
         gr.Markdown(ARTICLE)
         gr.Markdown(FOOTER)