reader-express.py

ruler = "\n###############################################\n"
print(ruler + "### Initiating Read-Aloud PDF Reader ###" + ruler)

# %pip install pyttsx3
# %pip install PyPDF2

import os
import sys
import glob
import pandas as pd
import numpy as np

import re

import time
import PyPDF2
import pyttsx3

from read_aloud_utils import textfilter

# Choose a language
from read_aloud_utils import localized

locales = localized()

current_language_name = locales.current_language_name



### Use auto-py-to-exe to make exe ###

# setup engine
engine = pyttsx3.init()
voices = engine.getProperty('voices')

# voice
#engine.setProperty('voice', voices[1].id)
for voice in voices:
  if locales.current_lang in voice.languages or current_language_name in voice.name:
    engine.setProperty('voice', voice.id)
    break

# speed
engine.setProperty('rate', 200)

# relative path (current folder)
path = sys.path[0] # does not work with auto-py-to-exe, use "C:\\Users\\user\\...\\"

# list of pdfs in absolute directory
pdfs = []
os.chdir(path)
for file in glob.glob("*.pdf"):
    pdfs.append(file)

# file
book_choice = pdfs[0]

### Parsing ###

# creating a pdf file object
pdfFileObj = open(path+"\\"+book_choice, 'rb')

print(locales.get("ParsingBook") + path+"\\"+book_choice)
#
print(locales.get("HavePatience"))

# initialize dataframe to hold documents
df = pd.DataFrame(columns=['page_no', 'page'])

# creating a pdf reader object 
reader = PyPDF2.PdfReader(pdfFileObj, strict=False) 
pages = len(reader.pages)

for p in range(pages):
  pageObj = reader.pages[p]
  # print(p)
  df.loc[p, 'page_no'] = p+1
  page_content = pageObj.extract_text()
  # print(page_content)
  df.loc[p, 'page'] = page_content

#closing the pdf file object 
pdfFileObj.close() 

print(locales.get("InfoNumPages").format(df.shape[0]))
df['page'].replace('', np.nan, inplace=True)
df.dropna(subset=['page'], inplace=True)
df.reset_index(drop=True, inplace=True)

# printing number of pages in pdf file 
print(locales.get("DroppingEmptyPages"), str(df.shape[0]))
time.sleep(1)
print(locales.get("TidyingUp"))

df['page'] = textfilter.make_readable(df['page'])

content = " ".join(df['page'].tolist())


# estimate
word_counts = df["page"].apply(lambda n: len(n.split()))
minutes = word_counts.sum() / 200 #estimate
seconds = minutes* 60

def convert_to_preferred_format(sec):
   sec = sec % (24 * 3600)
   hour = sec // 3600
   sec %= 3600
   min = sec // 60
   sec %= 60
   return "%02d:%02d:%02d" % (hour, min, sec) 

print(locales.get("EstimatedAudioTime"), convert_to_preferred_format(seconds))
time.sleep(1)

#play
for i, row in df.iterrows():
    print("\n# PAGE NO.", str(i), "#")
    print(row['page'])
    engine.say(row['page']) # to read immediately
    engine.runAndWait()
print(ruler)
print(locales.get("BookFinished"))