text2video

About

This is a simple system where we have allowed users to input PDF Textbooks and then generate videos from the text of those images. The following work has been done for the images:

1. PDF to text conversion and text cleaning / pre-processing.
2. Topic identification and extraction using NLP.
3. Search images by topic and download from Bing API images.
4. Create Audio for sentence using a Python text to speech library.
5. Create MP4 video from images + text + audio using moviepy Library.

Installation

The Project has been written in Python 2.7 using Flask as a basic and simple server to run the code.

Installing Dependencies

• Clone the project in a directory on your local system.

git clone https://github.com/salman-bhai/text2video
cd text2video/

• Create a new Virtual Environment using the Python Package virtualenv and activate the virtual environment in it.

virtualenv venv
source venv/bin/activate

• Install the Python Dependencies in the same Python Virtual Environment by running the following command:

pip install -r requirements.txt

• You can start the server by running the following command:

python server.py

Note:

You will need to install certain NLTK Dependencies as well to get the code to run. Kindly look open an issue in case you miss anything.

Project Documentation

• All Project Documentation is on the Wiki and in case anything is missing kindly feel free to open up a new Issue on the Github Issue Tracker for the same.

Project Members

• Mohit Reddy
• Salman Shah
• Hrishi Hiraskar