使用 OpenAI API 获取基于用户陈述的治疗建议

let headers: HTTPHeaders = [
    "Authorization": "Bearer "+"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",
    "Content-Type": "application/json"
]

let message : [[String: String]] = [
    ["role": "system",
     "content": "'用户陈述 1', respond with one sentence the way a therapist might respond to acknowledge this person's feelings, in under 150 characters"],
    ["role": "system",
     "content": "'用户陈述 2', write me an affirmation in under 230 characters"],
    ["role": "system",
     "content": "'用户陈述 3', give me a visualization that will help me feel better in around 400 characters. please make the visualization something that a therapist might use to make you feel better."]
]
let parameters: Parameters = [
    "model": "gpt-3.5-turbo",
    "messages": message,
]
print(parameters)
showLoad()
AF.request("https://api.openai.com/v1/chat/completions",method: .post,parameters:parameters,encoding: JSONEncoding.default,headers: headers).response(completionHandler: {response  in
    hidLoad()
    if let data = response.data {
        do {
            if let json = try JSONSerialization.jsonObject(with: data, options: .allowFragments) as? NSDictionary {
                self.resultLabel.alpha = 1;
                let arr = isArray(json["choices"])
                if(arr.count>0)
                {
                    let data = isDic(arr[0])
                    let lastDic = isDic(data["message"]);
                    self.resultLabel.text = isString(lastDic["content"])
                    self.resultLabel.width = SCREEN_WIDTH-wid(20)
                    self.resultLabel.sizeToFit()
                }
                // 转换成功，可以使用json进行操作
                print(json);
            }
        } catch {
            // 转换失败，处理错误
        }
    }
    print("ttt=(response)")
})

请将代码中的 '用户陈述 1'、'用户陈述 2' 和 '用户陈述 3' 替换为实际的用户陈述。