Flask handle request

from flask import Flask,request
import numpy as np
import tensorflow as tf

app = Flask(__name__)



def get_coordinate():
    image = load_img(path) #pil object
    image = np.array(image,dtype=np.uint8) #8 bit array(0,255)
    image1 = load_img(path,target_size=(224,224))
    #data_preprocessing
    image_arr_224 = img_to_array(image1)/255.0 #convert into array and get normalized array
    h,w,d = image.shape
    test_arr = image_arr_224.reshape(1,224,224,3)
    #make prediction
    coords = model.predict(test_arr)
    #denormalize the value
    denorm = np.array([w,w,h,h])
    coords = coords * denorm
    coords = coords.astype(np.int32)
    #drawing bounding box on top of the image
    xmin, xmax,ymin,ymax = coords[0]
    pt1 = (xmin,ymin)
    pt2 = (xmax,ymax)
    print(pt1, pt2)
    cv2.rectangle(image,pt1,pt2,(0,255,0),3)
    return coords



@app.route("/sendimage",methods=["POST"])
def hello_world():
    data = request.files["image"]
    cods = get_coordinate(data)
    img = np.array(load_img(data))
    xmin,xmax,ymin,ymax = cods[0]
    roi = img[ymin:ymax,xmin:xmax]
    text = pt.image_to_string(roi)
    text = "image"
    return {"data":"data"}