Update app.py

Fix the error due to gradio's version

app.py

@@ -1,40 +1,67 @@
 import os
 os.system('pip install paddlepaddle')
 os.system('pip install paddleocr')
+import requests
 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 download_image(url, save_path):
+    """
+    Download an image from a specified URL and save it to the specified path
+    
+    Args:
+        url (str): URL of the image
+        save_path (str): Path to save the image
+        
+    Returns:
+        bool: True if download is successful, False otherwise
+    """
+    try:
+        response = requests.get(url, stream=True)
+        if response.status_code == 200:
+            with open(save_path, 'wb') as file:
+                for chunk in response.iter_content(chunk_size=8192):
+                    file.write(chunk)
+            print(f"Image successfully downloaded and saved as: {save_path}")
+            return True
+        else:
+            print(f"Download failed, status code: {response.status_code}")
+            return False
+    except Exception as e:
+        print(f"Error occurred during download: {str(e)}")
+        return False
+
+# Download example image from GitHub
+image_url = "https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/v2.8.0/doc/imgs_en/img_12.jpg"
+download_image(image_url, "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'
+	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='./simfang.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='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>"
+article = "<p style='text-align: center'>Awesome multilingual OCR toolkits based on PaddlePaddle <a href='https://github.com/PaddlePaddle/PaddleOCR'>Github Repo</a></p>"
 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'),
+    [gr.Image(type='filepath', label='Input'), gr.Dropdown(choices=['ch', 'en', 'fr', 'german', 'korean', 'japan'], value='en', label='language')],
+    gr.Image(type='filepath', label='Output'),
     title=title,
     description=description,
     article=article,
     examples=examples,
-    css=css,
-    enable_queue=True
-    ).launch(debug=True)
+    css=css
+    ).launch(debug=True)