update

app.py

@@ -5,7 +5,6 @@ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 import matplotlib.pyplot as plt
 import keras_ocr
 import cv2 
-#from cv2 import INPAINT_NS, inpaint, line, cvtColor, COLOR_BGR2RGB, imwrite
 import math
 import numpy as np
 import gradio as gr
@@ -13,7 +12,6 @@ import numpy as np
 
 
 #Support for Hindi, Spanish, French, Arabic, Turish, Gailec/Irish, and German
-
 #'hindi':
 tokenizerhi = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-hi")
 modelhi = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-hi")
@@ -48,25 +46,18 @@ def choose_language(language):
   #Loading the tokenizers and trained models
   if language == 'hindi':
     tokenizer, model = tokenizerhi, modelhi
-    #modelnm = "Helsinki-NLP/opus-mt-en-hi"
   elif language == 'spanish':
     tokenizer, model = tokenizeres, modeles
-    #modelnm = "Helsinki-NLP/opus-mt-en-es"
   elif language == 'german':
     tokenizer, model = tokenizerde, modelde
-    #modelnm = "Helsinki-NLP/opus-mt-en-de"
   elif language == 'french':
     tokenizer, model = tokenizerfr, modelfr
-    #modelnm = "Helsinki-NLP/opus-mt-en-fr"
   elif language == 'turkish':
     tokenizer, model = tokenizertrk, modeltrk
-    #modelnm = "Helsinki-NLP/opus-mt-en-trk"
   elif language == 'arabic':
     tokenizer, model = tokenizerar, modelar
-    #modelnm = "Helsinki-NLP/opus-mt-en-ar"
   else:
     tokenizer, model = tokenizerga, modelga
-    #modelnm = "Helsinki-NLP/opus-mt-en-ga"
   return tokenizer, model
 
 #Function to translate english text to desired language
@@ -146,7 +137,7 @@ def translate_image(im, language):
   #Extract text, translate in your language and format it 
   extracted_text = text_extract(im)
   #font select -- Getting Unicode Text
-  title_font = ImageFont.truetype('./arial-unicode-ms.ttf',30) #('/content/gdrive/My Drive/sample_images/arial-unicode-ms.ttf',30) 
+  title_font = ImageFont.truetype('./arial-unicode-ms.ttf',30) 
   #text to write on image #Example in hindi - Unicode text u"आप जीवन में मिलता हर मौका ले लो, क्योंकि कुछ चीजें केवल एक बार होती हैं. शुभ सुबह"  
   txt = format_text(language,extracted_text)
 
@@ -158,7 +149,7 @@ 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)) Whites
+  image_editable.multiline_text((10,10), txt,spacing=2, font=title_font, fill= (237, 230, 211))  # Text color e.g. (0, 0, 0)) blacks
   return new_image