new optimized version for data extraction API

Dockerfile

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+FROM python:3.7
+COPY . /app/
+WORKDIR /app
+RUN pip install -r requirements.txt
+ENTRYPOINT ["python3"]
+CMD ["app.py"]

README.md

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-# PDFs-TextExtract
-Python Multiple and Large PDF Documents Text Extraction - Python 3.7
-![Logo](XPDF.jpg)
-
-
-
-## Introduction
-**As a Data Scientist , You may not stick to data format.** 
-
-PDFs is good source of data, most of the organization release their data in PDFs only. **As AI is growing, we need more data for prediction and classification**; hence, ignoring PDFs as data source for you could be a blunder. 
-
-*As you know PDF Processing comes under text analytics.*
-
-
-Most of the Text Analytics Library or frameworks are designed in Python only, this gives a leverage on text analytics. You can never process a pdf directly in exising frameworks of Machine Learning or Natural Language Processing. Unless they are proving explicit interface for this, **we have to convert pdf to text first.**
-## Problematic
-Most Python Liabiries for Pdf Processing such as PyPDF2 and Pdfminer.six perform in text extraction task, but this performance is limited to a small and simple PDF document.
-
-That's why, **PDFs-TextExtract** project developed to **extract text from multiple and large pdf documents.**
-
-## Setup Environment
-
-#### For use with MacOS X, the scripts will need to be modified to remove "/PDFs-TextExtract" from the path.
-
-- **Step 1:** Select Version of Python (Python 3.7) to Install from [Python.org](https://www.python.org/) website.
-- **Step 2:** Download Python Executable Installer.
-- **Step 3:** Run Executable Installer.
-- **Step 4:** Verify Python Was Installed On Windows.
-- **Step 5:** Verify Pip Was Installed.
-- **Step 6:** Add Python Path to Environment Variables (Optional).
-- **Step 7:** Install Python extension for your IDE (Visual Studio Code).
-- **Step 8:** Now you’ll be able to execute python scripts with your IDE (Visual Studio Code).
-- **Step 9:** 
-
-## Install dependencies
-
-    pip install -r requirements.txt
-
-## Usage 
-- **Step 1:** Open **..\PDFs-TextExtract-master\samples** folder and put your PDF Documents inside.
-- **Step 2:** Execute **..\PDFs-TextExtract-master\Scripts\merged.py** script.
-- **Step 3:** Execute **..\PDFs-TextExtract-master\Scripts\spliter.py** script.
-- **Step 4:** Execute **..\PDFs-TextExtract-master\Scripts\extract_text.py** script.
-- **Step 5:** Open **..\PDFs-TextExtract-master\output** and you will find the result there.
-
-## With bash script
-Execute 
-sh main.sh
-
-## Resources 
-- [Overview about PDF Processing with Python](https://towardsdatascience.com/pdf-preprocessing-with-python-19829752af9f)
-- **pdf2txt** tool forked from [pdfminer.six](https://github.com/pdfminer/pdfminer.six) project.
-- **merger** and **spliter** tools forked from [PyPDF2](https://github.com/mstamy2/PyPDF2) project.