This is a simplest web app, people can upload an image and get prediction by azure custom vision serivce

webpredict.py

from flask import Flask, render_template, request
from dotenv import load_dotenv
import os
import requests

app = Flask(__name__)
load_dotenv()

def classify_image(image_data):
    endpoint = "https://japaneast.api.cognitive.microsoft.com/customvision/v3.0/Prediction/44bd0c2b-20c3-43d9-9805-2f5de1476c3b/classify/iterations/Iteration2/image"
    headers = {
        "Prediction-Key": os.getenv("PredictionKey"),
        "Content-Type": "application/octet-stream",
    }
    response = requests.post(endpoint, headers=headers, data=image_data)
    return response.json()

@app.route("/", methods=["GET", "POST"])
def home():
    if request.method == "POST":
        # get the uploaded file and read its contents
        file = request.files["file"]
        image_data = file.read()

        # classify the image and get the top 2 tags
        result = classify_image(image_data)
        tags = [f"{x['tagName']}: {x['probability']:.2%}" for x in result["predictions"][:2]]

        # render the results template with the tags
        return render_template("results.html", tags=tags)

    # render the home page template
    return render_template('home.html')

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

Create a .env file in the root, put the below content in the file.

PredictionKey=Yourkey