app.py

from flask import *
from PIL import Image

import face_recognition
import cv2
import numpy as np
import csv
from datetime import datetime

############################################



#################
from flask_socketio import SocketIO,emit
import base64


##################



app = Flask (__name__ )

#################
app.config['SECRET_KEY'] = 'secret!'
socket = SocketIO(app,async_mode="eventlet")
#######################


######################



def base64_to_image(base64_string):
    # Extract the base64 encoded binary data from the input string
    base64_data = base64_string.split(",")[1]
    # Decode the base64 data to bytes
    image_bytes = base64.b64decode(base64_data)
    # Convert the bytes to numpy array
    image_array = np.frombuffer(image_bytes, dtype=np.uint8)
    # Decode the numpy array as an image using OpenCV
    image = cv2.imdecode(image_array, cv2.IMREAD_COLOR)
    return image

@socket.on("connect")
def test_connect():
    print("Connected")
    emit("my response", {"data": "Connected"})

@socket.on("image")
def receive_image(image):
    # Decode the base64-encoded image data
    image = base64_to_image(image)
    image = cv2.resize(image, (224, 224), interpolation=cv2.INTER_AREA)
    # emit("processed_image", image)
    # Make the image a numpy array and reshape it to the models input shape.
    image = np.asarray(image, dtype=np.float32).reshape(1, 224, 224, 3)
    image = (image / 127.5) - 1
    # Predicts the model
    prediction = model.predict(image)
    index = np.argmax(prediction)
    class_name = class_names[index]
    confidence_score = prediction[0][index]
    emit("result",{"name":str(class_name),"score":str(confidence_score)})
    #######################
    
@app.route ("/")
def home():
  return render_template("index.html")






if __name__ == '__main__': 
  socket.run(app,host="0.0.0.0", port=7860)
    
###########################################################################
# @app.route('/table')
# def show_table():
#     # Get the current date
#     current_date = datetime.now().strftime("%Y-%m-%d")
#     # Read the CSV file to get attendance data
#     attendance=[]
#     try:
#         with open(f"{current_date}.csv", newline="") as csv_file:
#             csv_reader = csv.reader(csv_file)
#             attendance = list(csv_reader)
#     except FileNotFoundError:
#         pass
#     # Render the table.html template and pass the attendance data
#     return render_template('attendance.html', attendance=attendance)

# @app.route("/")
# def home():
#     return render_template('index.html')

   


# if __name__ == "__main__":
#     socket.run(app,host="0.0.0.0", port=7860)