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The app is able to guide you through the entire procedure, so you will be able to achieve your goals without too much hustle. While playing a little bit with ChatGPT from the Delphi app, here are some of the answers it came up with:Īnd this was a question asked in connection with our TMS VCL TAdvStringGrid component and surprisingly, the answer is pretty spot-on and accurate.Install4j is a macOS application designed to streamline the process of building installers or launchers for any Java application. Make sure to download & install TMS FNC Core as well. You can get the app full source to replicate this test from Github. This is because OpenAI specifies that the API key cannot be used in a web client application where this key would be visible to anyone. Note that we do not mention TMS WEB Core here that TMS FNC also supports. Or when you want to use this from Lazarus, change the unit name to LCLTMSFNCCloudBase. When you want to use this in a FireMonkey cross-platform app, all you need to do is change in the uses list VCL.TMSFNCCloudBase to FMX.TMSFNCCloudBase.

procedure TForm1.Button1Click(Sender: TObject).

With this code, using ChatGPT from a Delphi app becomes as simple as:

raise Exception.Create('HTTP response code: ' + ).

LJSonArray := LJsonValue as TJSonArray.

LJsonValue := LJsonValue.GetValue('choices').

LJsonValue := TJSonObject.ParseJSONValue().// Process returned JSON when request was successful.// Execute the HTTPS POST request synchronously (last param Async = false).// Select HTTPS POST method, set POST data and specify endpoint URL.('Authorization','Bearer ' + CHATGPT_APIKEY).

// Use JSON for the REST API calls and set API KEY via Authorization header.

// create instance of TMS FNC Cloud Base class.

function AskChatGPT(AQuestion: string): string.

The code to ask questions and get answer from ChatGPT from a Delphi app is with TMS FNC TTMSCloudBase as simple as: To get started with the OpenAI ChatGPT API, request your API key here: This offers a rich interface to perform REST API requests from any platform and any framework. To ensure this code can be used in Windows, macOS, iOS, Android, Linux apps, we opted to use the TTMSFNCCloudBase class from TMS FNC Core. We'd liked to present simple code here that shows how this can be done in any type of Delphi app (or even Lazarus Object Pascal app) on any platform. This is possible thanks to the ChatGPT REST API. In record time, millions of users signed up and tested the new AI NLP service from OpenAI and are amazed by the answers for questions it comes up with.įor us Delphi developers, it's even more fun having the ability to go a step further and automate sending questions and getting answers from a Delphi app. For a couple of weeks now, ChatGPT is the talk of the town.