Create app.py

app.py

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+from paddleocr import PaddleOCR,draw_ocr
+from PIL import Image
+import gradio as gr
+
+# Paddleocr supports Chinese, English, French, German, Korean and Japanese.
+# You can set the parameter `lang` as `ch`, `en`, `fr`, `german`, `korean`, `japan`
+# to switch the language model in order.
+ocr = PaddleOCR(use_angle_cls=True, lang='en') # need to run only once to download and load model into memory
+def inference(img):
+    img_path = img.name
+    result = ocr.ocr(img_path, cls=True)
+    for line in result:
+        print(line)
+
+    # draw result
+    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'
+
+title = "PaddleOCR"
+description = "Gradio demo for PaddleOCR. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2104.05703'>Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis</a> | <a href='https://github.com/Mukosame/Anime2Sketch'>Github Repo</a></p>"
+
+gr.Interface(
+    inference, 
+    [gr.inputs.Image(type="file", label="Input")], 
+    gr.outputs.Image(type="file", label="Output"),
+    title=title,
+    description=description,
+    article=article    
+    ).launch(debug=True)