fromflaskimportFlask, jsonify, requestfromwerkzeug.middleware.proxy_fiximportProxyFix# Initialize Flask appapp = Flask(__name__)# Middleware to handle proxy headers when behind a reverse proxyapp.wsgi_app = ProxyFix(app.wsgi_app, x_proto=1, x_host=1)# Sample data for demonstration purposesusers...
count_calls: Decorator that counts the calls to a function coalesce: "Coalesce" a NULL value to a specific default value jsonify: Decorator to JSON-encode a function's return value groot: A decorator that always prints "Groot" only_once: Decorator that only allows functions to be called once...
Subscribe to the /flask/mqtt topic in MQTTX. Use Postman to call the /publish API: Send the message Hello from Flask to the /flask/mqtt topic. We can see the message sent from Flask in MQTTX. Complete code from flask import Flask, request, jsonify from flask_mqtt import Mqtt app = ...
Inside this folder, create a new file, products.py, and add the code below to set up a Flask server. import requests import os from flask import Flask, jsonify app = Flask(__name__) port = int(os.environ.get('PORT', 5000)) @app.route("/") def home(): return "Hello, this ...
jsonify Output: Example #2 Return response object through jsonify. Syntax: from flask import jsonify, Flask appFlask = Flask(__name__) @appFlask.route('/home') def home(): return jsonify(username='eduCBA' , account='Premium' , validity='200 days') ...
Finally, we add the standard boilerplate to run our Flask app. if __name__ == '__main__': app.run() Testing the Backend Should everything goes well, here's our final backend code. from flask import Flask, jsonify, request from dotenv import load_dotenv from langchain.chat_models ...
# Import required libraries from sklearn.datasets import load_iris from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import train_test_split from flask import Flask, request, jsonify import numpy as np # Initialize Flask app app = Flask(__name__) # Load and prepar...
Create a new Python file namedchatgpt_plugin.pyand open it in your favorite code editor. Add the following code to thechatgpt_plugin.pyfile: fromflaskimportFlask, request, jsonifyimportopenai app = Flask(__name__) openai.api_key ='YOUR_OPENAI_API_KEY'@app.route('/chat', methods=['POS...
We can use Flask to make a simple internal API which will send only one string of text data. The ‘Access-Control-Allow-Origin’ header is added so we can simply open the HTML file in the browser and make this request from it. from flask import Flask from flask import jsonify from ...
2022-11-01T20:19:36.724016-0500 [duoauthproxy.lib.log#info] Summary: drpc_jsonify_metrics. Extra data: {'json_parse_time': 2.9802322387695312e-05, 'length': 100}2022-11-01T20:19:36.724339-0500 [duoauthproxy.lib.log#info] Summary: drpc_msg_metrics. Extra data: {'msg_time': ...