update interface

.gitignore

@@ -1,3 +1,5 @@
+__pycache__
+ppocr/__pycache__
 ppocr/data/__pycache__
 ppocr/data/imaug/__pycache__
 ppocr/data/imaug/text_image_aug/__pycache__
@@ -17,6 +19,8 @@ ppstructure/kie/__pycache__
 ppstructure/layout/__pycache__
 ppstructure/table/__pycache__
 tools/__pycache__
+tools/infer/__pycache__
+
 
 
 

app.py

@@ -1,7 +1,7 @@
 import os, io
 from paddleocr import PaddleOCR, draw_ocr,PPStructure
 from ppocr.utils.visual import draw_ser_results
-from PIL import Image, ImageDraw
+from PIL import Image
 import gradio as gr
 
 
@@ -51,27 +51,28 @@ def inference__ppstructure(img_path):
     return image, "\n".join(result)
 
 with gr.Blocks() as demo:
-    gr.Markdown("Form Understanding Project - Certificate of Diagnosis")
-    gr.Markdown("Support languages：traditinonal chinese 🇹🇼")
+    gr.Markdown("<h1 style='text-align: center;'>Form Understanding Project - Certificate of Diagnosis</h1>")
+    gr.Markdown("Support languages: Traditional Chinese 🇹🇼")
+    gr.Markdown("version：0.1")
+
     gr.Markdown("""
     ## Usage Description
     This interface is designed to process and extract information from Certificates of Diagnosis. 
     To use this tool:
     1. Upload an image of a Certificate of Diagnosis using the 'Upload Image' button.
-    2. Optionally, enter the image URL if the certificate is available online.
     3. Click 'Process' to extract information from the uploaded certificate.
     4. The processed image and extracted text will be displayed on the right.
     """)
     with gr.Row():
         with gr.Column():
+            gr.Markdown("#### Input Image")
             image_input = gr.Image(type='filepath', label='Upload Image')
-            url_input = gr.Textbox(label='Or enter Image URL')
-            submit_btn = gr.Button("Process")
+            submit_btn  = gr.Button("Process")
         with gr.Column():
             gr.Markdown("#### Processed Image")
             image_output = gr.Image(type="pil", label="Processed Image")
             gr.Markdown("#### Extracted Text")
-            text_output = gr.Textbox(label="Extracted Text")
+            text_output  = gr.Textbox(label="Extracted Text")
 
     submit_btn.click(
         inference__ppstructure,