.

app.py

@@ -6,8 +6,24 @@ from PIL import Image
 import gradio as gr
 import torch
 
+torch.hub.download_url_to_file('https://i.imgur.com/aqMBT0i.jpg', 'example.jpg')
+
+def inference(img, lang):
+    ocr = PaddleOCR(use_angle_cls=True, lang=lang, use_gpu=False)
+    img_path = img.name
+    result = ocr.ocr(img_path, cls=True)[0]
+    image = Image.open(img_path).convert('RGB')
+    boxes = [line[0] for line in result]
+    txts = [line[1][0] for line in result]
+    scores = [line[1][1] for line in result]
+    im_show = draw_ocr(image, boxes, txts, scores,
+                       font_path='simfang.ttf')
+    im_show = Image.fromarray(im_show)
+    im_show.save('result.jpg')
+    return 'result.jpg'
+
 def greet(name):
     return "Hello " + name + "!!"
 
 iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+iface.launch(share=True)