uploadimage.swift

    func uploadImage() {
    
        guard let inputImage = inputImage else { return }
    
        
        isLoading = true
        
        Task {
                        
            #if DEBUG && targetEnvironment(simulator)
            let openAIService = AIProxy.openAIService(
                partialKey: ""
            )
            #else
            let openAIService = AIProxy.openAIService(
                partialKey: ""
            )
            #endif

            
            guard let localURL = inputImage.openAILocalURLEncoding() else {
                throw ClassifierDataLoaderError.couldNotCreateImageURL
            }
            
            let systemMessageContent = """
            You are PlantIdentifyApp, an AI assistant created to help users identify plants from pictures.

            Provide the user with the identified plant details in a RAW VALID JSON FORMAT, NO MARKDOWN, NOTHING ELSE. Including the following keys:
                - name: Common name of the plant in \(selectedLanguage)
                - genus: Genus name
                - family: Family name
                - botanicalName: Full botanical name (genus + species)
                - desc: A brief description of the plant in \(selectedLanguage)
                - wikipediaLink: Link to wikipedia in \(selectedLanguage) if available, if not then Wikipedia in English
            classification.

            don't write anything else. If the picture is not valid plant, ask user to provide another picture.
            """
            
            do {
                
                let response = try await openAIService.chatCompletionRequest(body: .init(
                    model: "gpt-4o",
                    messages: [
                        .init(
                            role: "system",
                            content: .text(systemMessageContent)
                        ),
                        .init(
                            role: "user",
                            content: .parts(
                                [
                                    .text("Here's the plant image:"),
                                    .imageURL(localURL)
                                ]
                            )
                        )
                    ],
                    responseFormat: .type("json_object")
                ))
                
//               print("response: \(response)")
               let content = response.choices.first?.message.content ?? ""
                
                // Ensure the response is a JSON string and decode it
                if let data = content.data(using: .utf8) {
                    let decodedResponse = try JSONDecoder().decode(PlantInfo.self, from: data)
                    self.plantInfo = decodedResponse
                } else {
                    self.infoText = "System error. Please try again."
                    if Locale(identifier: Locale.preferredLanguages.first!).language.languageCode?.identifier == "ja" {
                        self.infoText = "システムエラーです。もう一度お試しください"
                    }
                }

            } catch AIProxyError.unsuccessfulRequest(let statusCode, _) {
                
                let error = ErrorHandler.getError(from: statusCode)
                self.infoText = ErrorHandler.getMessage(for: error, language: selectedLanguage)
                
//              print(responseBody)
            } catch {
                self.infoText = ErrorHandler.getMessage(for: .systemError, language: selectedLanguage)
            }
            
            isLoading = false

            if plantInfo != nil {
                if let imageData = inputImage.jpegData(compressionQuality: 0.4) {
                    saveHistory(with: imageData, with: plantInfo!)
                }
            }

            identifyCount += 1
            if (identifyCount%3 == 0) {
                requestReview()
            }
            
        }

    }