Update app.py

app.py

@@ -9,7 +9,7 @@ import cv2
 import math
 import numpy as np
 
-torch.hub.download_url_to_file('https://i.pinimg.com/originals/45/d0/30/45d03054e15f4be731781eecba7458a4.jpg', 'korean.png')
+torch.hub.download_url_to_file('https://i.pinimg.com/originals/45/d0/30/45d03054e15f4be731781eecba7458a4.jpg', 'korean.jpg')
 
 def midpoint(x1, y1, x2, y2):
     x_mid = int((x1 + x2)/2)
@@ -68,15 +68,15 @@ def inference(img, lang):
     draw_mask(im, bounds)
     #remove_text(im, mask, bounds)
     lang = ""
-    im.save('result.png')
+    im.save('result.jpg')
     #mask.save('mask.png')
-    return ['result.png', pd.DataFrame(bounds). iloc[: , 1:2]]
+    return ['result.jpg', pd.DataFrame(bounds). iloc[: , 1:2]]
 
 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>"
 css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
-examples = [['korean.png',"korean"]]
+examples = [['korean.jpg',"korean"]]
 choices = [
     "chinese",
     "english",