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用途
在洛杉磯,我曾造訪過 Dayglow 和 Kumquat 等多家咖啡烘焙商經營的咖啡廳,這也啟發了我創立 bagsbagsbags。世界各地都有許多出色的烘豆師。假設 Gemini AI 咖啡師能協助你找到新愛的咖啡,你會怎麼想?
我使用 Gemini API,從烘豆商的網路商店中擷取結構化資料,例如風味筆記或處理方法,以建立咖啡包裝盒索引。接著,我請 Gemini 擔任 Barista,在收到提示時,從索引中推薦 1 到 3 個包裝袋。Gemini 也會為每個咖啡豆包產生自訂標籤顏色,反映其獨特風味。
這個示範應用程式收錄了五家我最喜愛的烘豆商,分別來自挪威、丹麥和美國。
[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["缺少我需要的資訊","missingTheInformationINeed","thumb-down"],["過於複雜/步驟過多","tooComplicatedTooManySteps","thumb-down"],["過時","outOfDate","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["示例/程式碼問題","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],[],[],[]]