Update app.py

app.py

@@ -29,10 +29,10 @@ def inference(img, lang):
     im.save('result.jpg')
     return ['result.jpg', pd.DataFrame(bounds).iloc[: , 1:]]
 
-title = 'EasyOCR'
-description = 'Gradio demo for EasyOCR. EasyOCR demo supports 80+ languages.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.jaided.ai/easyocr/'>Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.</a> | <a href='https://github.com/JaidedAI/EasyOCR'>Github Repo</a></p>"
-examples = [['english.png',['en']],['thai.jpg',['th']],['french.jpg',['fr', 'en']],['chinese.jpg',['ch_sim', 'en']],['japanese.jpg',['ja', 'en']],['korean.png',['ko', 'en']],['Hindi.jpeg',['hi', 'en']]]
+title = 'Image To Optical Character Recognition'
+description = 'Multilingual OCR which works conveniently on all devices in multiple languages.'
+article = "<p style='text-align: center'></p>"
+examples = [['english.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",
@@ -41,6 +41,7 @@ choices = [
     "en",
     "es",
     "ja",
+    "hi",
     "ru"
 ]
 gr.Interface(