app.py

import os
from flask import Flask, render_template, request, redirect, url_for
from flask import send_from_directory
#from werkzeug.utils import secure_filename
import numpy as np
import tensorflow as tf
#import base64
#import sql

app = Flask(__name__)

dir_path = os.path.dirname(os.path.realpath(__file__))
UPLOAD_FOLDER = "uploads"
STATIC_FOLDER = "static"

# Load model
cnn_model = tf.keras.models.load_model("cutout_96_73.h5")


IMAGE_SIZE = 224

# Preprocess an image
def preprocess_image(image):
    image = tf.image.decode_jpeg(image, channels=3)
    image = tf.image.resize(image, [IMAGE_SIZE, IMAGE_SIZE])
    # image /= 255.0  # normalize to [0,1] range
    # image = 2*image-1  # normalize to [-1,1] range

    return image


# Read the image from path and preprocess
def load_and_preprocess_image(path):
    image = tf.io.read_file(path)

    return preprocess_image(image)


# Predict & classify image
def classify(model, image_path):

    preprocessed_imgage = load_and_preprocess_image(image_path)
    preprocessed_imgage = tf.reshape(
        preprocessed_imgage, (1, IMAGE_SIZE, IMAGE_SIZE, 3)
    )

    prob = cnn_model.predict(preprocessed_imgage)
    label = "Real" if prob[0][0] >= 0.5 else "Fake"
    classified_prob = prob[0][0] if prob[0][0] >= 0.5 else 1 - prob[0][0]

    return label, classified_prob


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

@app.route("/classify", methods=["POST", "GET"])
def upload_file():

    if request.method == "GET":
        return render_template("home.html")

    else:
        file = request.files["image"]
        upload_image_path = os.path.join(UPLOAD_FOLDER, file.filename)
        print(upload_image_path)
        file.save(upload_image_path)

        label, prob = classify(cnn_model, upload_image_path)

        prob = round((prob * 100), 2)

    return render_template(
        "classify.html", image_file_name=file.filename, label=label, prob=prob
    )


@app.route("/classify/<filename>")
def send_file(filename):
    return send_from_directory(UPLOAD_FOLDER, filename)

@app.route('/thank_you/<img_name>/<answer>', methods = ['GET', 'POST'])
def thank_you(img_name, answer):
    img_path = os.getcwd() + '/uploads/' + img_name
    sql.save_into_db(img_path, answer)
    # os.remove(img_path)
    return redirect(url_for('home'))

@app.route('/model')
def model():
   return render_template('model.html')


if __name__ == '__main__':
    app.debug = True
    app.run(debug=True)
    app.debug = True