init.py

from flask import Flask, render_template, request, redirect, flash, url_for
from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing import image
import urllib.request
import numpy as np
from werkzeug.utils import secure_filename
import os

app = Flask(
  __name__,
  static_folder='./upload'
)

model = load_model('./model/covid19_classification.h5')

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

@app.route("/", methods=["POST"])
def submit_file():
  if request.method == 'POST':
    if 'file' not in request.files:
      flash('No file part')
      return redirect(request.url)
    file = request.files['file']
    if file.filename == '':
      flash('No file selected for uploading')
      return redirect(request.url)

    if file:
      global path
      filename = secure_filename(file.filename)
      path = os.path.join('upload', filename)
      file.save(path)

      img = image.load_img(path, target_size=(150,150))
      x = image.img_to_array(img)
      x = np.expand_dims(x,axis=0)
      images = np.vstack([x])
      classes = model.predict(images,batch_size=10)

      if classes == 0:
        label = 'COVID19'
      else:
        label = 'Normal'

      flash(label)
      flash(path)
      return redirect('/')

# start the flask app, allow remote connections
if __name__ == "__main__":
  app.secret_key = 'never gonna give you up never gonna let you down never gonna desert you'
  app.run(host='0.0.0.0')