gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
ret, thresh_inv = cv2.threshold(gray_image, 100, 255, cv2.THRESH_BINARY_INV)
plt.imshow(thresh_inv, cmap='gray')
image = cv2.imread(imPath)
d = pytesseract.image_to_data(thresh_inv, output_type=Output.DICT)
text = pytesseract.image_to_string(thresh_inv, lang='eng')
print(text)
img = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
n_boxes = len(d['level'])
#Bounding boxes around the text in image
for i in range(n_boxes):
(x, y, w, h) = (d['left'][i], d['top'][i], d['width'][i], d['height'][i])
img = cv2.rectangle(image, (x, y), (x + w, y + h), (0, 0, 255), 2)
plt.imshow(img)
# %%
#Creating object of translator class and passing extracted text to it
translator = Translator(text)
#%%
print(translator.language_list()) #List of supported languages
lang = 'hindi'
# %%
translator.display(lang) #displaying text with specified language
# %%
speech = Speech(text) #Converting text data to speech data
speech.text_to_speech()
