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Angular User Session Timeout example step by step

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This functionality let the user know that their session is about to expire and that they would be logged out if they didn’t take action. I have written this functionality in Angular for my latest application.  If you are new to Angular 6 then read my article about Setting up Angular 6 step by step before jump to this article to get handy in Angular 6. Dealing with timers in Angular can be significantly different when using React components and subscriptions. The basic premises remains the same, though. We’ll have a service with a timer that will provide a Subject to which consumers of the service can subscribe. A React Subject provides an easy mechanism to trigger a “next” subscription to alert consumers that the timer has expired.   import { Injectable } from '@angular/core'; import { Observable, Subject, Subscription, BehaviorSubject} from 'rxjs/Rx'; @Injectable() export class IdleTimeoutService { private _count: number = 0; ...
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I have created an application to extract text from image using AI

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 In this article, I am going to demonstrate how text is getting extracted from image file using Gemini AI model. Also, will explain how the application is developed with the help of chat GPT and some custom code.     Very first i gone to chatGPT application and added below prompts so that my application structure i can get the application code to start with. Following is the screenshot of the prompt i have written and answer given by chatGPT.    I have copied the code given by chat gpt and modified as per my requirement that means i got 70 to 80 percentage code to develop the application. Following are the Prerequisites required for development of this application : Visual studio code Python Api Key of Gemini can be obtain from https://aistudio.google.com    Open visual studio code and create the file with name " imagetextextractapp .py". Now in visual studio code and go to terminal menu and click on New terminal link it will open new terminal. In t...
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Implement Nlog in .Net core MVC application part 1

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Logging is a very important part of the enterprise application/web application. Setting up the logging correctly not only beneficial for long term maintenance of the application but also it is useful tool to find out the RCA in case of mission critical bug arises. Therefor we will going to discuss the various logging technique implementation using Nlog library package. In this article we will going to use .net core application for demonstration but you can implement it in .net framework application also. So lets start the implementation of Nlog in .net core MVC application. Open visual studio 2019/17 and create the new project as shown below.     Select Asp.net core Web App (Model-View-Controller) and provide the project name in project name text box.   Now on next screen click on create button this will create MVC app with .net core Now go to solution explorer and right click on project and click on Manage Nuget Package. Now in Nuget package manager install below listed ...
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Implement Logging in CSV file using Nlog in .net core MVC application- part 2

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In previous article " Implement Nlog in .Net core MVC application part 1 "  I have demonstrated how we can implement basic setup of NLog in .core mvc application. In previous article we have logged the exceptions in flat file system. In this article I will show you how you can write the exception and custom logs in csv file. Writing logs in csv file can enable us better readability of logs in tabular form.       Lets start the implementation of it, I going to use the same example project used in previous demonstration. Modify the Nlog.config file as follows, added new target and rule for logging logs in csv file. <?xml version="1.0" encoding="utf-8" ?> <nlog xmlns="http://www.nlog-project.org/schemas/NLog.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.nlog-project.org/schemas/NLog.xsd NLog.xsd" autoReload="true" throwExceptions="fal...
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Create Chat bot application using Python, Streamlit and Gemini AI

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In this article I am going to explain creating chat bot application using Python, Streamlit library and Gemini AI. In this chat bot application application will be self host with specific port on computer ad can be accessible from browser.     following Prerequisites required for development of this application : Visual studio code Python Api Key of Gemini can be obtain from https://aistudio.google.com    Open visual studio code and create the file with name "chatbot.py". Now in visual studio code and go to terminal menu and click on New terminal link it will open new terminal. In terminal enter below command to install the Google generative AI library and steamlit library in your machine.   pip install google-generativeai langchain-google-genai streamlit   Now copy below code and paste in the " chatbot .py" file. import streamlit as st import google.generativeai as genai genai.configure(api_key="enter your key obtain from aistudio.google.com...
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