Text-Summarization-using-Python

The code starts by importing the necessary libraries and modules cv2 is the OpenCV library used for capturing video frames and image processing. pytesseract is a Python wrapper for the Tesseract OCR engine, used for extracting text from images. PIL (Python Imaging Library) provides functions to handle images. nltk is the Natural Language Toolkit library used for text processing and tokenization. keyboard is a library used for capturing keyboard inputs. The imgupload() function is defined to process an uploaded image. The pastetext() function is defined to process text pasted by the user. The process_video() function is defined to process a video stream. The text summarization using a frequency-based approach. including tokenization,stop words removal,word frequency calculation,sentence tokenization ,sentence scoring,average score calculation,summary generation.