Update app.py

app.py

@@ -10,7 +10,7 @@ warnings.filterwarnings("ignore")
 
 model_path = "Disty0/NewBie-image-Exp0.1-Diffusers"  # NewBie-AI/NewBie-image-Exp0.1
 
-print("正在加载 Text Encoder...")
+print("Text Encoder...")
 text_encoder_2 = AutoModel.from_pretrained(
     model_path, 
     subfolder="text_encoder_2", 
@@ -18,7 +18,7 @@ text_encoder_2 = AutoModel.from_pretrained(
     torch_dtype=torch.bfloat16
 )
 
-print("正在加载 Pipeline...")
+print("Pipeline...")
 pipe_newbie = NewbiePipeline.from_pretrained(
     model_path, 
     text_encoder_2=text_encoder_2, 
@@ -28,7 +28,7 @@ pipe_newbie.to("cuda")
 
 del text_encoder_2
 torch.cuda.empty_cache()
-print("模型加载完成。")
+print("Completed")
 
 @spaces.GPU()
 def generate_image_newbie(prompt, negative_prompt, height, width, num_inference_steps, guidance_scale, seed, progress=gr.Progress(track_tqdm=True)):
@@ -72,40 +72,40 @@ newbie_prompt = """<character_1>
 <other>2024_year</other>
 </general_tags>"""
 
-with gr.Blocks(title="NewBie 图像生成器") as demo:
-    gr.Markdown("# NewBie 图像生成器 (NewBie Image Generator)")
-    gr.Markdown("使用 NewBie 模型生成高质量动漫风格图像。")
+with gr.Blocks(title="NewBie") as demo:
+    gr.Markdown("# NewBie Image Generator)")
+    gr.Markdown("Generate high-quality anime-style images using the NewBie model.")
     
     with gr.Row(variant="panel"):
         with gr.Column(scale=2):
             prompt_newbie = gr.Textbox(
-                label="提示词 (Prompt)",
+                label="Prompt",
                 value=newbie_prompt,
                 lines=10,
-                placeholder="在此输入生成提示词..."
+                placeholder="Enter the prompt here..."
             )
             negative_prompt_newbie = gr.Textbox(
-                label="负面提示词 (Negative Prompt)",
+                label="Negative Prompt",
                 value="low quality, bad quality, blurry, low resolution, deformed, ugly, bad anatomy",
                 lines=3,
-                placeholder="在此输入不需要出现的元素..."
+                placeholder="Enter the elements that should not appear here..."
             )
             
             with gr.Row():
-                height_newbie = gr.Slider(label="图片高度 (Height)", minimum=512, maximum=2048, step=64, value=1024)
-                width_newbie = gr.Slider(label="图片宽度 (Width)", minimum=512, maximum=2048, step=64, value=1024)
+                height_newbie = gr.Slider(label="Height", minimum=512, maximum=2048, step=64, value=1024)
+                width_newbie = gr.Slider(label="Width", minimum=512, maximum=2048, step=64, value=1024)
             
             with gr.Row():
-                steps_newbie = gr.Slider(label="推理步数 (Inference Steps)", minimum=1, maximum=100, step=1, value=28)
-                guidance_scale_newbie = gr.Slider(label="引导系数 (Guidance Scale)", minimum=1.0, maximum=20.0, step=0.1, value=3.5)
+                steps_newbie = gr.Slider(label="Inference Steps", minimum=1, maximum=100, step=1, value=28)
+                guidance_scale_newbie = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=20.0, step=0.1, value=3.5)
             
-            seed_newbie = gr.Number(label="随机种子 (Seed, -1 为随机)", value=-1, precision=0)
+            seed_newbie = gr.Number(label="Seed, -1 is random", value=-1, precision=0)
             
-            generate_btn_newbie = gr.Button("生成图片 (Generate)", variant="primary")
+            generate_btn_newbie = gr.Button("Generate", variant="primary")
 
         with gr.Column(scale=1):
-            image_output_newbie = gr.Image(label="生成结果 (Output)", format="png", interactive=False)
-            used_seed_newbie = gr.Number(label="使用的种子 (Used Seed)", interactive=False)
+            image_output_newbie = gr.Image(label="Output", format="png", interactive=False)
+            used_seed_newbie = gr.Number(label="Used Seed", interactive=False)
 
     generate_btn_newbie.click(
         fn=generate_image_newbie,