Update app.py

app.py

@@ -7,58 +7,43 @@ from PIL import Image
 import gradio as gr
 import torch
 
-# Download example image
 torch.hub.download_url_to_file('https://i.imgur.com/aqMBT0i.jpg', 'example.jpg')
 
 def inference(img, lang):
-    # Initialize OCR with the selected language
-    ocr = PaddleOCR(use_angle_cls=True, lang=lang, use_gpu=False)
+    ocr = PaddleOCR(use_angle_cls=True, lang=lang,use_gpu=False)
     img_path = img
     result = ocr.ocr(img_path, cls=True)[0]
 
-    # Extract boxes and text
     boxes = [line[0] for line in result]
     txts = [line[1][0] for line in result]
-    scores = [line[1][1] for line in result]
+    #scores = [line[1][1] for line in result]
     
-    # Load image and draw OCR results
     image = Image.open(img_path).convert('RGB')
-    im_show = draw_ocr(image, boxes, txts=None, scores=None, font_path='simfang.ttf')
+    im_show = draw_ocr(image, boxes, txts=None, #scores=None, # https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.7/tools/infer/utility.py#L365
+                       font_path='simfang.ttf')
     im_show = Image.fromarray(im_show)
     im_show.save('result.jpg')
     
-    return 'result.jpg', '\n'.join(txts)
-
-def update_example(lang):
-    # Automatically load the example based on selected language
-    if lang == 'es':
-        return 'spanish.png'
-    elif lang == 'en':
-        return 'english.png'
-    return None
+    return 'result.jpg', result, '\n'.join(txts)
+    
+    # return 'result.jpg'
 
-# Title and description for the Gradio app
-title = 'Gradio demo for PaddleOCR'
+title = 'PaddleOCR'
+description = 'PaddleOCR demo supports Spanish and English'
 article = ""
-description = "PaddleOCR demo supports Spanish and English. To use it, simply upload your image and choose a language from the dropdown menu, or click one of the examples to load them."
-
-# Gradio Interface
+examples = [['english.png','en'],['spanish.png','es']]
+css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
 app = gr.Interface(
     inference,
-    inputs=[
-        gr.Image(type='filepath', label='Input'), 
-        gr.Dropdown(choices=['es', 'en'], value='en', label='Language', interactive=True)
-    ],
-    outputs=["image", "text"],
+    [gr.Image(type='filepath', label='Input'),gr.Dropdown(choices=['es', 'en'], type="value", value='ch', label='language')],
+    # gr.outputs.Image(type='file', label='Output'),
+    outputs=["image", "text", "text"],
     title=title,
     description=description,
     article=article,
-    examples=[['english.png','en'], ['spanish.png','es']],
-    css=".output_image, .input_image {height: 40rem !important; width: 100% !important;}",
-)
-
-# Add function to update input based on language selection
-app.set_input_callback(update_example, ['language'])
-
-# Launch the app
-app.launch(debug=True)
+    examples=examples,
+    css=css,
+    # enable_queue=True
+    )
+app.queue(max_size=10)
+app.launch(debug=True)