Update app.py

app.py

@@ -5,11 +5,11 @@ from paddleocr import PaddleOCR, draw_ocr
 from PIL import Image
 import gradio as gr
 import torch
-ocr = PaddleOCR(use_angle_cls=True, lang='en',use_gpu=False)
 
 torch.hub.download_url_to_file('https://i.imgur.com/aqMBT0i.jpg', 'example.jpg')
 
-def inference(img):
+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)
     image = Image.open(img_path).convert('RGB')
@@ -23,17 +23,18 @@ def inference(img):
     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.'
+description = 'Gradio demo for PaddleOCR. PaddleOCR demo supports Chinese, English, French, German, Korean and Japanese.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://www.paddlepaddle.org.cn/hub/scene/ocr'>Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）</a> | <a href='https://github.com/PaddlePaddle/PaddleOCR'>Github Repo</a></p>"
 examples = [['example.jpg']]
 css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
 gr.Interface(
     inference,
-    gr.inputs.Image(type='file', label='Input'),
+    [gr.inputs.Image(type='file', label='Input'),gr.inputs.Dropdown(choices=['ch', 'en', 'fr', 'german', 'korean', 'japan'], type="value", default='en', label='language')],
     gr.outputs.Image(type='file', label='Output'),
     title=title,
     description=description,
     article=article,
     examples=examples,
-    css=css
+    css=css,
+    enable_queue=True
     ).launch(debug=True)