How to Build an App: Bad Gnome Gardening Guru Episode 3

Shawn: “Excellent. Let’s start by creating a simple interface in Swift that will be used to start the gardening journal conversation based on generative responses.”

ChatGPT responds:

To create a simple interface in Swift for your gardening journal conversation, follow these steps:

  1. Create a new iOS project in Xcode:
  • Open Xcode and click “Create a new Xcode project.”
  • Select “App” under the iOS section and click “Next.”
  • Enter your app’s name, organization identifier, and select “Swift” as the language. Choose “UIKit” for the interface and “Storyboard” for the lifecycle. Click “Next” and select a location to save the project.
  1. Design the user interface:
  • In the “Main.storyboard” file, delete the existing view controller and add a new “Navigation Controller” from the Object Library.
  • Click on the “Table View Controller” that is now embedded in the “Navigation Controller.” In the Attributes inspector, check “Is Initial View Controller.”
  • Add a “Table View Cell” to the “Table View” and set the cell’s identifier to “journalCell” in the Attributes inspector.
  • Add a “Bar Button Item” to the “Navigation Bar” on top of the “Table View Controller.” Change its system item type to “Add” in the Attributes inspector.
  • Finally, add a “View Controller” from the Object Library. This will be the screen for the ChatGPT-generated conversation.
  1. Create custom view controller classes:
  • In the Project Navigator, click “File > New > File” and choose “Swift File.” Name it “JournalTableViewController” and click “Create.”
  • Repeat the process to create another Swift file named “ConversationViewController.”
  1. Connect the view controllers to the storyboard:
  • In “Main.storyboard,” click the “Table View Controller” and go to the Identity inspector. Set the custom class to “JournalTableViewController.”
  • Click the “View Controller” and set its custom class to “ConversationViewController” in the Identity inspector.
  1. Create a segue between the view controllers:
  • In “Main.storyboard,” control-drag from the “Add” button on the “JournalTableViewController” to the “ConversationViewController.” Select “show” as the type of segue.
  • Click the segue, go to the Attributes inspector, and set its identifier to “showConversation.”
  1. Set up the table view data source and delegate in “JournalTableViewController.swift”:
import UIKit

class JournalTableViewController: UITableViewController {

    // Replace this with your actual data model
    var journalEntries: [String] = []

    override func viewDidLoad() {
        super.viewDidLoad()
    }

    // MARK: - Table view data source
    override func numberOfSections(in tableView: UITableView) -> Int {
        return 1
    }

    override func tableView(_ tableView: UITableView, numberOfRowsInSection section: Int) -> Int {
        return journalEntries.count
    }

    override func tableView(_ tableView: UITableView, cellForRowAt indexPath: IndexPath) -> UITableViewCell {
        let cell = tableView.dequeueReusableCell(withIdentifier: "journalCell", for: indexPath)
        cell.textLabel?.text = journalEntries[indexPath.row]
        return cell
    }
}
  1. Implement the generative response handling in “ConversationViewController.swift”:

“`swift
import UIKit

class ConversationViewController: UIViewController {

// Add a UILabel or UITextView to display the ChatGPT-generated response
@IBOutlet weak var responseLabel: UILabel!

override func viewDidLoad() {
    super.viewDidLoad()
    // Call the function to fetch a generative response from ChatGPT
    fetchGPTResponse()
}

func fetchGPTResponse() {
    // Implement the API call to your ChatGPT server here
    // Once you receive the response, update the responseLabel text
    responseLabel.text = "Your ChatGPT-generated

response.”

Apologies for the incomplete response. Here’s the completed version of the “ConversationViewController.swift” file:

import UIKit

class ConversationViewController: UIViewController {

    // Add a UILabel or UITextView to display the ChatGPT-generated response
    @IBOutlet weak var responseLabel: UILabel!

    override func viewDidLoad() {
        super.viewDidLoad()
        // Call the function to fetch a generative response from ChatGPT
        fetchGPTResponse()
    }

    func fetchGPTResponse() {
        // Implement the API call to your ChatGPT server here
        // Once you receive the response, update the responseLabel text
        responseLabel.text = "Your ChatGPT-generated response will appear here."

        // Example of an API call using URLSession
        let url = URL(string: "https://your-chatgpt-api-server.com/generate-response")!
        var request = URLRequest(url: url)
        request.httpMethod = "POST"
        // Add any necessary headers and parameters for your API call
        request.setValue("application/json", forHTTPHeaderField: "Content-Type")

        let task = URLSession.shared.dataTask(with: request) { data, response, error in
            guard let data = data, error == nil else {
                print("Error fetching response: \(error?.localizedDescription ?? "Unknown error")")
                return
            }

            do {
                // Parse the API response
                if let jsonResponse = try JSONSerialization.jsonObject(with: data, options: []) as? [String: Any] {
                    // Extract the generated text from the API response
                    if let generatedText = jsonResponse["generated_text"] as? String {
                        DispatchQueue.main.async {
                            self.responseLabel.text = generatedText
                        }
                    }
                }
            } catch {
                print("Error parsing response: \(error.localizedDescription)")
            }
        }

        task.resume()
    }
}

In this example, I’ve added a UILabel to display the ChatGPT-generated response and implemented a function to fetch the response from your ChatGPT API server. Please replace the placeholder URL and any necessary headers and parameters with your actual API details.

Stay tuned for more…

~ghost

Ghost Writer