Update app.py

app.py

@@ -62,7 +62,7 @@ def upload_template(image_path):
 def easyphoto_train(instance_images):
     images = []
     if instance_images is None or len(instance_images)==0:
-        output = 'Status: no image updated! 没有上传照片'
+        output = 'Status: no image updated!'
         return output, [], []
     for number, image in enumerate(instance_images):
         image_path = image['name']
@@ -75,13 +75,13 @@ def easyphoto_train(instance_images):
     model_id = response.data['model_id']
     job_id = response.data['job_id']
     if message == 'success':
-        state = 'training job submitted. 提交训练任务成功'
+        state = 'training job submitted.'
         output = 'Status: ' + state
         print("job id: " + str(job_id))
         print("model id: " + str(model_id))
         return output, job_id, model_id
     else:
-        output = 'Status: submitting training job failed! 提交训练任务失败'
+        output = 'Status: submitting training job failed!'
         return output, [], []
 
     
@@ -89,7 +89,7 @@ def easyphoto_check(job_id):
     client = ApiClient(host, appId, token)
     api = AiServiceJobApi(client)
     if job_id is None:
-        output = 'Status: checking training status failed! No job id. 状态检查失败'
+        output = 'Status: checking training status failed! No job id.'
     else:
         try:
             job_id = int(str(job_id).strip())
@@ -97,14 +97,14 @@ def easyphoto_check(job_id):
             message = response.data['job']['message']
             output = 'Status: ' + message
         except:
-            output = 'Status: checking training status failed! 状态检查失败'
+            output = 'Status: checking training status failed!'
     return output
 
 
 def easyphoto_infer(model_id, selected_template_images, additional_prompt, seed, before_face_fusion_ratio, after_face_fusion_ratio, first_diffusion_steps, first_denoising_strength, second_diffusion_steps, second_denoising_strength, crop_face_preprocess, apply_face_fusion_before, apply_face_fusion_after, color_shift_middle, color_shift_last, background_restore):
     image_urls = []
     if len(selected_template_images) == 0:
-        output_info = 'Status: no templete selected! 需要选择模版'
+        output_info = 'Status: no templete selected!'
         return output_info, []
     selected_template_images = eval(selected_template_images)
     for image in selected_template_images:
@@ -117,7 +117,7 @@ def easyphoto_infer(model_id, selected_template_images, additional_prompt, seed,
     output_info = None
 
     if model_id is None:
-        output_info = 'Status: no model id provided! 需要提供模型id'
+        output_info = 'Status: no model id provided!'
         return output_info, []
     
     model_id = str(model_id).strip()
@@ -152,48 +152,43 @@ def easyphoto_infer(model_id, selected_template_images, additional_prompt, seed,
             image = data['image']
             image = decode_image_from_base64jpeg(image)
             outputs.append(image)
-            output_info = 'Status: generating image succesfully! 图像生成成功'
+            output_info = 'Status: generating image succesfully!'
         else:
-            output_info = 'Status: generating image failed! 图像生成失败'
+            output_info = 'Status: generating image failed!'
             return output_info, []
     return output_info, outputs
 
 
 with gr.Blocks() as easyphoto_demo:
     model_id = gr.Textbox(visible=False)
-    with gr.TabItem('Training 训练'):
+    with gr.TabItem('Training'):
         with gr.Blocks():
             with gr.Row():
                 with gr.Column():
                     instance_images = gr.Gallery().style(columns=[4], rows=[2], object_fit="contain", height="auto")
                     with gr.Row():
                         upload_button = gr.UploadButton(
-                            "Upload Photos 上传照片", file_types=["image"], file_count="multiple"
+                            "Upload Photos", file_types=["image"], file_count="multiple"
                         )
-                        clear_button = gr.Button("Clear Photos 清除照片")
+                        clear_button = gr.Button("Clear Photos")
                     clear_button.click(fn=lambda: [], inputs=None, outputs=instance_images)
                     upload_button.upload(upload_file, inputs=[upload_button, instance_images], outputs=instance_images, queue=False)
                     gr.Markdown(
                         '''
-                        训练步骤：
-
-                        1.请上传5-20张半身照片或头肩照片，请确保面部比例不要太小。
-
-                        2.点击下方的训练按钮，提交训练任务，大约需要15分钟，您可以检查您的训练任务状态。请不要重复点击提交训练任务的按钮！
-
-                        3.当模型训练完成后，任务状态会显示success，切换到推理模式，并根据模板生成照片。
-
-                        4.如果在上传时遇到卡顿，请修改上传图片的���小，尽量限制在1.5MB以内。
-                        
-                        5.在训练或推理过程中，请不要刷新或关闭窗口。
+                        Training steps:
+                        1. Please upload 5-20 half-body photos or head and shoulder photos, ensuring that the facial proportions are not too small.
+                        2. Click the training button below to submit the training task. It will take approximately 15 minutes, and you can check the status of your training task. Please refrain from clicking the submit training task button multiple times!
+                        3. Once the model training is completed, the task status will display success. Switch to inference mode and generate photos based on the template.
+                        4. If you experience lag during uploading, please resize the uploaded images to a size below 1.5MB if possible.
+                        5. During the training or inference process, please do not refresh or close the window.
                         '''
                     )
 
             job_id = gr.Textbox(visible=False)
             with gr.Row():
-                run_button = gr.Button('Submit My Training Job 提交训练任务')
-                check_button = gr.Button('Check My Training Job Status 检查我的训练任务状态')
-            output_message = gr.Textbox(value="", label="Status 状态", interactive=False)
+                run_button = gr.Button('Submit My Training Job')
+                check_button = gr.Button('Check My Training Job Status')
+            output_message = gr.Textbox(value="", label="Status", interactive=False)
 
             run_button.click(fn=easyphoto_train,
                             inputs=[instance_images],
@@ -204,7 +199,7 @@ with gr.Blocks() as easyphoto_demo:
                             outputs=[output_message])
 
             
-    with gr.TabItem('Inference 推理'):
+    with gr.TabItem('Inference'):
         templates = glob.glob(r'./*.jpg')
         preset_template = list(templates)
 
@@ -220,7 +215,7 @@ with gr.Blocks() as easyphoto_demo:
                     selected_template_images = gr.Text(show_label=False, visible=False, placeholder="Selected")
                     gallery.select(select_function, None, selected_template_images)
                     
-                    with gr.Accordion("Advanced Options 参数设置", open=False):
+                    with gr.Accordion("Advanced Options", open=False):
                         additional_prompt = gr.Textbox(
                                 label="Additional Prompt",
                                 lines=3,
@@ -295,30 +290,18 @@ with gr.Blocks() as easyphoto_demo:
                                     3. **Crop Face Preprocess** represents whether to crop the image before generation, which can adapt to images with smaller faces.  
                                     4. **Apply Face Fusion Before** represents whether to perform the first facial fusion.  
                                     5. **Apply Face Fusion After** represents whether to perform the second facial fusion.  
-
-                                    参数：
-
-                                    1.**Face Fusion Ratio Before**表示第一次面部融合的比例，更高且更接近训练对象。
-                                    
-                                    2.**Face Fusion Ratio After**表示第二次面部融合的比例，更高且更接近训练对象。
-                                    
-                                    3.**Crop Face Preprocess**表示是否在生成之前裁剪图像，以适应面部较小的图像。
-                                    
-                                    4.**Apply Face Fusion Before**表示是否执行第一次面部融合。
-                                    
-                                    5.**Apply Face Fusion After**表示是否执行第二次面部融合。    
                                     '''
                             )
 
                 with gr.Column():
-                    gr.Markdown('Generated Results 生成结果')
+                    gr.Markdown('Generated Results')
                     output_images = gr.Gallery(
                             label='Output',
                             show_label=False
                     ).style(columns=[4], rows=[2], object_fit="contain", height="auto")
-                    display_button = gr.Button('Start Generation 开始生成')
+                    display_button = gr.Button('Start Generation')
                     infer_progress = gr.Textbox(
-                            label="Generation Progress 生成进度",
+                            label="Generation Progress",
                             value="",
                             interactive=False
                     )
@@ -331,13 +314,13 @@ with gr.Blocks() as easyphoto_demo:
     
     gr.Markdown(
     """
-    参考链接
+    Useful Links
     
-    EasyPhoto GitHub：https://github.com/aigc-apps/sd-webui-EasyPhoto
+    EasyPhoto GitHub: https://github.com/aigc-apps/sd-webui-EasyPhoto
     
-    阿里云Freetier：https://help.aliyun.com/document_detail/2567864.html
+    Alibaba Cloud Freetier: https://help.aliyun.com/document_detail/2567864.html
     
-    智码实验室：https://gallery.pai-ml.com/#/preview/deepLearning/cv/stable_diffusion_easyphoto
+    PAI-DSW Gallery: https://gallery.pai-ml.com/#/preview/deepLearning/cv/stable_diffusion_easyphoto
     """)
     
 easyphoto_demo.launch(share=False).queue()