def generate(data):
global video_url
global path
global json_result
global keywords
global text
global result
# Transcription and Cleaning
text = youtube_transcribe(video_url)
# Keywords Extractor
keywords = get_keywords(text, 15)
print('\nKeywords:\n', keywords)
fp = open("keywords.txt", "w")
fp.write("\n".join(keywords))
fp.close()
json_result = web_scrape(keywords)
# Summarization
# Percentage of summary - input
# percentage=int(input())
result = summary(text, 50)
fh = open("summary.txt", "w")
fh.write(result)
fh.close()
from keyframes import Image_Processing
from text_recognition_and_extraction import text_recognition
import io
import pytesseract
# Path to your tesseract executable
pytesseract.pytesseract.tesseract_cmd = r'G:\himanshu\Tesseract-OCR\tesseract.exe'
if __name__ == '__main__':
# Transcription and Cleaning
url = input("Enter the URL = ")
text = youtube_transcribe(url)
# Keywords Extractor
keywords = get_keywords(text, 15)
print('\nKeywords:\n', keywords)
# Summarization
percentage = int(
input(
"Enter the percentage of information in text you want as summary : "
))
result = summary(text, percentage)
print('\nSummary:\n', result)
# Keyframe Extraction
Image_Processing(url, keywords)
print("Images Extracted in 'out' folder")
# Text Recognition And Extraction