update

app.py

@@ -1,21 +1,4 @@
-#Installing required libraries
-#pip install datasets transformers[sentencepiece]
-#pip install accelerate
-#apt install git-lfs
-
-#sudo apt install tesseract-ocr
-#pip install tesseract-ocr
-#pip install pytesseract
-#pip install keras-ocr
-#pip install gradio
-
-#importing required libraries
-#import os
-#os.system('apt-get install tesseract-ocr')
-#os.system('pip install -q pytesseract')
-#os.system('pip install pytesseract')
-#sudo apt-get install tesseract-ocr
-
+#Import libraries
 import pytesseract
 from PIL import Image, ImageFont, ImageDraw 
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
@@ -143,8 +126,8 @@ def translate_image(im, language):
 
   #Enable writing on image
   image_editable = ImageDraw.Draw(new_image)
-  image_editable.multiline_text((40,40), txt,spacing=2, font=title_font, fill= (0, 0, 0)) #(237, 230, 211)) (0, 0, 0))
-  return new_image, txt, extracted_text
+  image_editable.multiline_text((40,40), txt,spacing=2, font=title_font, fill= (0, 0, 0)) #(237, 230, 211)) Whites
+  return new_image
 
 
 title = "Translate English Text to Your Regional Language In Your Forwarded Images"
@@ -154,10 +137,10 @@ pipeline = keras_ocr.pipeline.Pipeline()
 gr.Interface(
     translate_image, 
     [gr.inputs.Image(type="filepath", label="Input"), gr.inputs.Radio(choices=['hindi','spanish','french','turkish','german','irish', 'arabic'], type="value", default='hindi', label='Choose A Language')], 
-    [gr.outputs.Image(type="pil", label="Output"),"text", "text"],
+    gr.outputs.Image(type="pil", label="Output"),
     title=title,
     description=description,
     article=article,
-    #examples=[['bill.png','version 0.2'],['keanu.png','version 0.3'],['will.jpeg','version 0.2']],
+    examples=[['en2.jpg','hindi'],['gm1.jpg','hindi'],['quotes.jpg','spanish']],
     enable_queue=True
    ).launch(debug=True)