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app.py
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app.py
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from keras_vggface.utils import preprocess_input
from keras_vggface.vggface import VGGFace
from src.utils.all_utils import read_yaml, create_directory
import pickle
from sklearn.metrics.pairwise import cosine_similarity
import streamlit as st
from PIL import Image
import os
import cv2
from mtcnn.mtcnn import MTCNN
import numpy as np
config = read_yaml('config/config.yaml')
params = read_yaml('params.yaml')
artifacts = config['artifacts']
artifacts_dir = artifacts['artifacts_dir']
#upload
upload_image_dir = artifacts['upload_image_dir']
upload_path = os.path.join(artifacts_dir, upload_image_dir)
# pickle_format_data_dir
pickle_format_data_dir = artifacts['pickle_format_data_dir']
img_pickle_file_name = artifacts[