Update app.py

app.py

@@ -1,45 +1,5 @@
-import os
-os.system('pip install paddlepaddle')
-os.system('pip install paddleocr')
-from paddleocr import PaddleOCR, draw_ocr
-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)
-    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,
-                       font_path='simfang.ttf')
-    im_show = Image.fromarray(im_show)
-    im_show.save('result.jpg')
-    return 'result.jpg'
-
-title = 'A Framework for Data-Driven Document Evaluation and scoring - Image to Text Extraction '
-description = 'Demo for Optical character recognition(OCR)'
-article = ""
-examples = [['example.jpg','en']]
-css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
-gr.Interface(
-    inference,
-    [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,
-    enable_queue=True
-    ).launch(debug=True)
-    
-    
+
     ##########################################################################################################
 
 import os