Machine Learning with Python

python

import PyPDF2
import pyttsx3
# Read the pdf by specifying the path in your computer 
pdfReader = PyPDF2.PdfFileReader(open('clcoding.pdf', 'rb'))
# Get the handle to speaker
speaker = pyttsx3.init()
# split the pages and read one by one
for page_num in range(pdfReader.numPages): 
    text = pdfReader.getPage(page_num).extractText() 
    speaker.say(text)
    speaker.runAndWait()
# stop the speaker after completion 
speaker.stop() 
# save the audiobook at specified path 
engine.save_to_file(text, 'E:\audio.mp3') 
engine.runAndWait()

pip install --user opencv-python insightface matplotlib # скачай 'inswapper_128.onnx' отсюда 'clck.ru/36ct6v' и закинь в папку с кодом import cv2 import insightface from insightface.app import FaceAnalysis import matplotlib.pyplot as plt app = FaceAnalysis(name='buffalo_l') app.prepare(ctx_id=0, det_size=(640, 640)) swapper = insightface.model_zoo.get_model('inswapper_128.onnx') def swap_faces(img): img = cv2.imread(img) fig, ax = plt.subplots(1, 1, figsize=(10, 5)) ax.imshow(img[:,:,::-1]) ax.axis('off'); plt.show() faces = app.get(img) face1, face2 = faces[0], faces[1] imgnew = img.copy() imgnew = swapper.get(imgnew, face1, face2, paste_back=True) imgnew = swapper.get(imgnew, face2, face1, paste_back=True) fig, ax = plt.subplots(1, 1, figsize=(10, 5)) ax.imshow(imgnew[:,:,::-1]) ax.axis('off'); plt.show() return imgnew swap_faces('ТУТ ТВОЁ ИЗОБРАЖЕНИЕ')