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app.py

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+from paddleocr import PaddleOCR, draw_ocr
+from PIL import Image
+import gradio as gr
+
+def inference(img, lang):
+    ocr = PaddleOCR(use_angle_cls=True, lang=lang,use_gpu=False)
+    img_path = img
+    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='BreezeSans-Light.ttf')
+    im_show = Image.fromarray(im_show)
+    im_show.save('result.jpg')
+    
+    return 'result.jpg'
+
+title = 'PaddleOCR'
+description = 'Gradio demo for PaddleOCR. PaddleOCR demo supports Chinese, English, French, German, Korean and Japanese. To use it, simply upload your image and choose a language from the dropdown menu, or click one of the examples to load them. Read more at the links below.'
+article = "<p style='text-align: center'><a href='http://claireye.com.tw'>Claireye</a> | 2023</p>"
+examples = [
+       ["02.png", 'tr']
+]
+gr.Interface(
+    inference,
+    [gr.inputs.Image(type='filepath', label='Input'),
+    gr.inputs.Dropdown(choices=['tr', 'az'], type="value", default='tr', label='language')],
+    gr.outputs.Image(type='filepath', label='Output'),
+    title=title,
+    description=description,
+    article=article,
+    examples=examples,
+    cache_examples=True,
+    enable_queue=True
+    ).launch(debug=True)

requirements.txt

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+Pillow
+paddlepaddle
+paddleocr