That means writing Python code. Practice this topic by working on these related Python exercises. 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 ...
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 = ...
Next, create a new folder in the root directory and name it services. 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(...
Flask jsonify is defined as a functionality within Python’s capability to convert a json (JavaScript Object Notation) output into a response object with application/json mimetype by wrapping up a dumps( ) function for adding the enhancements. Along with the conversion of json to an output respo...
Now, you are ready to write the Flask application. Create a new directory namedocrapiand a new file in this directory with the namemain.py.Save the following contents in it: fromflaskimportFlask,request,jsonifyfromPILimportImageimportpytesseract ...
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...
Currently, I am developing a Teams Bot in Python (Flask). Due to certain circumstances, I am proceeding with bot development without using BotFramework. I have been able to return an AdaptiveCard based on user messages. However, when I press the button
import logging from logging import Formatter, FileHandler from flask import Flask, request, jsonify from ocr import process_image _VERSION = 1 # API version In this, I’m adding “process_image(),” one of the OCR Engine functions in JSON response. JSON is used to collect data that is ...
in virtualenv I did "pip install mysqlclient" and installed Flask fromflaskimportFlask,session,redirect,app,render_template,request,url_for,jsonfromflaskimportjsonifyfromflaskext.mysqlimportMySQLimportreimportosfrompasslib.hashimportsha256_cryptfromfunctoolsimportwrapsimportsysimporttimefromhelpersimportmytest,...
(documents, service_context=service_context) index.save_to_disk('index.json') return jsonify({'status': 'success', 'response': 'Data loaded successfully'}) load() @app.route("/chatgpt", methods=['GET']) def chatbot(): index = GPTSimpleVectorIndex.load_from_disk('index.json...