app.py

import streamlit as st
from PIL import Image
import face_recognition
import os
import uuid
import streamlit as st
from PIL import Image
import face_recognition

st.header("Face Detection")
st.write(
    "Now it's time to collect the pictures we need to create our known-faces data base for our face recognition model. "
    "But remember, we should always ask for permission before taking someone's picture. We can use a smartphone or a digital camera to capture pictures, and it's important to take pictures of different people. This will help our application to have a good known-faces database!"
)

img_dir = os.path.join(".sessions", "known_faces")
os.makedirs(img_dir, exist_ok=True)

picture = st.file_uploader("Upload a candidate image",type=['jpg','png','jpeg'],accept_multiple_files=False)
if picture:
    image = face_recognition.load_image_file(picture)
    st.image(image)

    # Find all the faces in the image using the default HOG-based model.
    # This method is fairly accurate, but not as accurate as the CNN model and not GPU accelerated.
    # See also: find_faces_in_picture_cnn.py
    face_locations = face_recognition.face_locations(image)
    st.write("Algorithm found {} face(s) in this photograph.".format(len(face_locations)))

    cols = st.columns(len(face_locations))
    for i in range(len(face_locations)):
        col = cols[i]
        face = face_locations[i]
        # display faces
        with col:
            st.header("Face {}".format(i))
            # Print the location of each face in this image
            top, right, bottom, left = face
            # You can access the actual face itself like this:
            face_image = image[top:bottom, left:right]
            pil_image = Image.fromarray(face_image)
            st.image(pil_image)
            face_name = st.text_input('Specify name', "This is a placeholder", key="text_"+str(i))
            if st.button("Save", key="button_"+str(i)):
                img_name = str(uuid.uuid4()) + f"{face_name}" + ".jpg"
                img_path = os.path.join(img_dir, img_name)
                im1 = pil_image.save(img_path)
                st.success("Face added successfully!")
else:
    st.write("Please upload an image to proceed.")