Update app.py

app.py

@@ -1,14 +1,12 @@
-import os, io
+import os
 from paddleocr import PaddleOCR, draw_ocr
-from PIL import Image, ImageDraw
+from PIL import Image
 import gradio as gr
 
-
 # 設定 Hugging Face Hub 的 Access Token
 os.environ["HF_TOKEN"] = "TWOCR"
- 
-def inference(img_path):
 
+def inference(img_path):
     ocr = PaddleOCR(
         rec_char_dict_path='zhtw_common_dict.txt',
         use_gpu=False,
@@ -30,7 +28,7 @@ def inference(img_path):
     im_show_pil = draw_ocr(image, boxes, txts, scores, font_path="./simfang.ttf")
 
     return im_show_pil, "\n".join(txts)
-    
+
 title = "<p style='text-align: center'><a href='https://www.twman.org/AI/CV' target='_blank'>繁體中文醫療診斷書和收據OCR：PaddleOCR</a></p>"
 
 description = """
@@ -39,25 +37,25 @@ description = """
 <p style='text-align: center'><a href="https://github.com/Deep-Learning-101/Computer-Vision-Paper" target='_blank'>https://github.com/Deep-Learning-101/Computer-Vision-Paper</a></p><br>
 """
 
-
 css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
 
 gr.Interface(
-    inference,
-    [gr.inputs.Image(type='filepath', label='圖片上傳')],
+    fn=inference,
+    inputs=gr.Image(type='filepath', label='圖片上傳'),
     outputs=[
-        gr.outputs.Image(type="pil", label="識別結果"),
-        "text"
+        gr.Image(type="pil", label="識別結果"),
+        gr.Textbox(label="識別文本")
+    ],
+    examples=[
+        ["DEMO/einvoice1.png"],
+        ["DEMO/einvoice2.png"], 
+        ["DEMO/THSR1.jpg"],
+        ["DEMO/THSR2.jpg"], 
+        ["DEMO/IDCARD1.jpg"],        
+        ["DEMO/HealthCARD1.jpg"]
     ],
-    examples = [
-    ["DEMO/einvoice1.png"],
-    ["DEMO/einvoice2.png"], 
-    ["DEMO/THSR1.jpg"],
-    ["DEMO/THSR2.jpg"], 
-    ["DEMO/IDCARD1.jpg"],        
-    ["DEMO/HealthCARD1.jpg"]],    
     title=title,
     description=description,
     css=css,
     enable_queue=True
-    ).launch(debug=True)
+).launch(debug=True)