Update app.py

app.py

@@ -5,10 +5,7 @@ from PIL import ImageDraw
 import gradio as gr
 import torch
 import easyocr
-
-#torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/BeautyIsTruthTruthisBeauty.JPG', 'BeautyIsTruthTruthisBeauty.JPG')
-#torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/PleaseRepeatLouder.jpg', 'PleaseRepeatLouder.jpg')
-#torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/ProhibitedInWhiteHouse.JPG', 'ProhibitedInWhiteHouse.JPG')
+import webbrowser
 
 torch.hub.download_url_to_file('https://raw.githubusercontent.com/AaronCWacker/Yggdrasil/master/images/20-Books.jpg','20-Books.jpg')
 torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/english.png', 'COVID.png')
@@ -27,20 +24,26 @@ def inference(img, lang):
     reader = easyocr.Reader(lang)
     bounds = reader.readtext(img.name)
     im = PIL.Image.open(img.name)
-    draw_boxes(im, bounds)
-    im.save('result.jpg')
-    return ['result.jpg', pd.DataFrame(bounds).iloc[: , 1:]]
+    im_with_boxes = draw_boxes(im, bounds)
+    im_with_boxes.save('result.jpg')
+    dataframe = pd.DataFrame(bounds, columns=['text', 'confidence'])
+    dataframe['link'] = dataframe['text'].apply(lambda x: f"<a href='https://en.wikipedia.org/wiki/{x.replace(' ', '_')}'>{x}</a>")
+    return ['result.jpg', dataframe[['link', 'confidence']]]
 
 title = '🖼️Image to Multilingual OCR👁️Gradio'
 description = 'Multilingual OCR which works conveniently on all devices in multiple languages.'
 article = "<p style='text-align: center'></p>"
 
 examples = [
-#['PleaseRepeatLouder.jpg',['ja']],['ProhibitedInWhiteHouse.JPG',['en']],['BeautyIsTruthTruthisBeauty.JPG',['en']],
-['20-Books.jpg',['en']],['COVID.png',['en']],['chinese.jpg',['ch_sim', 'en']],['japanese.jpg',['ja', 'en']],['Hindi.jpeg',['hi', 'en']]
+    ['20-Books.jpg',['en']],
+    ['COVID.png',['en']],
+    ['chinese.jpg',['ch_sim', 'en']],
+    ['japanese.jpg',['ja', 'en']],
+    ['Hindi.jpeg',['hi', 'en']]
 ]
 
 css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
+
 choices = [
     "ch_sim",
     "ch_tra",
@@ -51,14 +54,23 @@ choices = [
     "hi",
     "ru"
 ]
+
+def open_link(link):
+    webbrowser.open_new_tab(link)
+
+output = gr.outputs.Dataframe(headers=['text', 'confidence'])
+
 gr.Interface(
     inference,
     [gr.inputs.Image(type='file', label='Input'),gr.inputs.CheckboxGroup(choices, type="value", default=['en'], label='language')],
-    [gr.outputs.Image(type='file', label='Output'), gr.outputs.Dataframe(headers=['text', 'confidence'])],
+    [gr.outputs.Image(type='file', label='Output'), output],
     title=title,
     description=description,
     article=article,
     examples=examples,
     css=css,
     enable_queue=True
-    ).launch(debug=True)
+    ).launch(debug=True)
+
+# Launch webbrowser on clicking the link in dataframe
+output.df_click = open_link