feat: 修改gradio页面为中文

Tile-Upscaler/app.py

@@ -199,24 +199,19 @@ def gradio_process_image(input_image, resolution, num_inference_steps, strength,
 
     return result
 
-title = """<h1 align="center">Image Upscaler with Tile Controlnet</h1>
-<p align="center">The main ideas come from</p>
-<p><center>
-<a href="https://github.com/philz1337x/clarity-upscaler" target="_blank">[philz1337x]</a>
-<a href="https://github.com/BatouResearch/controlnet-tile-upscale" target="_blank">[Pau-Lozano]</a>
-</center></p>
+title = """<h1 align="center">tile-upscaler：由低质量图片生成高质量图片的图片修复工具</h1>
 """
 
 with gr.Blocks(css="./theme.css") as demo:
     gr.HTML(title)
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(type="pil", label="Input Image")
-            run_button = gr.Button("Enhance Image")
+            input_image = gr.Image(type="pil", label="输入图片")
+            run_button = gr.Button("生成")
         with gr.Column():
-            gallery = gr.Image(label="Generated Images")
-    with gr.Accordion("Advanced Options", open=False):
-        resolution = gr.Slider(minimum=256, maximum=2048, value=512, step=256, label="Resolution")
+            gallery = gr.Image(label="生成图片")
+    with gr.Accordion("高级选项", open=False):
+        resolution = gr.Slider(minimum=256, maximum=2048, value=512, step=256, label="分辨率")
         num_inference_steps = gr.Slider(minimum=1, maximum=50, value=20, step=1, label="Number of Inference Steps")
         strength = gr.Slider(minimum=0, maximum=1, value=0.4, step=0.01, label="Strength")
         hdr = gr.Slider(minimum=0, maximum=1, value=0, step=0.1, label="HDR Effect")