Add some error handling when OPENAI_API_KEY is not in the env

src/components/App.tsx

@@ -12,6 +12,7 @@ import { EmbeddingsComboBox } from "./EmbeddingsComboBox";
 import { DotPlot, PlotData } from "./Plot";
 import { toLatLng, toUnitSphere } from "../helpers/layout";
 import { cosineDistance } from "../helpers/embeddings";
+import { QueriesDisabledModal } from "./QueriesDisabledModal";
 
 function App() {
   const [selectedQuery, setSelectedQuery] = useState<ExampleQuery>(
@@ -23,7 +24,11 @@ function App() {
   const [embeddingsData, setEmbeddingsData] = useState<EmbeddingsData>([]);
   const [layoutData, setLayoutData] = useState<LayoutData>([]);
   const [animate, setAnimate] = useState<boolean>(false);
-  const activeEmbedding = useQueryEmbedding(selectedQuery.query);
+  const [queryError, setQueryError] = useState<string>("");
+  const onQueryError = useCallback((err: string) => {
+    setQueryError(err);
+  }, []);
+  const activeEmbedding = useQueryEmbedding(selectedQuery.query, onQueryError);
 
   const [displacement, setDisplacement] = useState<number>(1);
   const [exponent, setExponent] = useState<number>(4);
@@ -91,12 +96,21 @@ function App() {
     setSelectedLayoutPoint(index);
   }, []);
 
+  const closeQueriesDisabledModal = useCallback(() => {
+    setQueryError("");
+  }, []);
+
   if (!data) {
     return "Loading...";
   }
 
   return (
     <div className="bg-gray-100 h-screen flex flex-col">
+      <QueriesDisabledModal
+        message={queryError}
+        isOpen={Boolean(queryError)}
+        closeModal={closeQueriesDisabledModal}
+      />
       <header className="bg-white shadow">
         <div className="mx-10 my-6">
           <h1 className="text-3xl font-bold text-gray-900">Embedding Sphere</h1>

src/components/Plot.tsx

@@ -48,7 +48,6 @@ export function PlotData({ similarities, onSelect }: PlotDataProps) {
     }
 
     containerRef.current.append(plot);
-    console.log("remove");
     return () => plot.remove();
   }, [similarities, onSelect]);
 

src/components/QueriesDisabledModal.tsx

@@ -0,0 +1,73 @@
+import { Dialog, Transition } from "@headlessui/react";
+import { Fragment } from "react";
+
+export function QueriesDisabledModal({
+  isOpen,
+  closeModal,
+  message,
+}: {
+  isOpen: boolean;
+  message: string;
+  closeModal: () => void;
+}) {
+  return (
+    <>
+      <Transition appear show={isOpen} as={Fragment}>
+        <Dialog as="div" className="relative z-10" onClose={closeModal}>
+          <Transition.Child
+            as={Fragment}
+            enter="ease-out duration-300"
+            enterFrom="opacity-0"
+            enterTo="opacity-100"
+            leave="ease-in duration-200"
+            leaveFrom="opacity-100"
+            leaveTo="opacity-0"
+          >
+            <div className="fixed inset-0 bg-black/25" />
+          </Transition.Child>
+
+          <div className="fixed inset-0 overflow-y-auto">
+            <div className="flex min-h-full items-center justify-center p-4 text-center">
+              <Transition.Child
+                as={Fragment}
+                enter="ease-out duration-300"
+                enterFrom="opacity-0 scale-95"
+                enterTo="opacity-100 scale-100"
+                leave="ease-in duration-200"
+                leaveFrom="opacity-100 scale-100"
+                leaveTo="opacity-0 scale-95"
+              >
+                <Dialog.Panel className="w-full max-w-md transform overflow-hidden rounded-2xl bg-white p-6 text-left align-middle shadow-xl transition-all">
+                  <Dialog.Title
+                    as="h3"
+                    className="text-lg font-medium leading-6 text-gray-900"
+                  >
+                    An error occurred
+                  </Dialog.Title>
+                  <div className="mt-2">
+                    <p className="text-sm text-gray-500">{message}</p>
+                    <p className="text-sm text-gray-500 mt-4">
+                      Querying for custom values is only currently supported
+                      running this UI locally and reading an OPENAI_API_KEY from
+                      the process / terminal env.
+                    </p>
+                  </div>
+
+                  <div className="mt-4">
+                    <button
+                      type="button"
+                      className="inline-flex justify-center rounded-md border border-transparent bg-blue-100 px-4 py-2 text-sm font-medium text-blue-900 hover:bg-blue-200 focus:outline-none focus-visible:ring-2 focus-visible:ring-blue-500 focus-visible:ring-offset-2"
+                      onClick={closeModal}
+                    >
+                      Okay
+                    </button>
+                  </div>
+                </Dialog.Panel>
+              </Transition.Child>
+            </div>
+          </div>
+        </Dialog>
+      </Transition>
+    </>
+  );
+}

src/hooks/useQueryEmbeddings.ts

@@ -2,7 +2,10 @@ import OpenAI from "openai";
 import { useEffect, useMemo, useState } from "react";
 import { ExampleQuery, exampleQueries } from "../helpers/example-queries";
 
-export function useQueryEmbedding(value: string) {
+export function useQueryEmbedding(
+  value: string,
+  onError: (err: string) => void
+) {
   const [embeddingQueries, setEmbeddingQueries] = useState<ExampleQuery[]>([]);
 
   const allEmbeddings = useMemo(
@@ -12,27 +15,36 @@ export function useQueryEmbedding(value: string) {
 
   useEffect(() => {
     const q = allEmbeddings.find((e) => e.query === value);
+    // already got the embeddings
     if (q) {
       return;
     }
-    const openai = new OpenAI({
-      apiKey: import.meta.env["VITE_OPENAI_API_KEY"],
-      dangerouslyAllowBrowser: true,
-    });
 
     const fetchEmbeddings = async () => {
-      const chatCompletion = await openai.embeddings.create({
-        input: value,
-        model: "text-embedding-3-small",
-      });
-      setEmbeddingQueries((prev) => [
-        ...prev,
-        { query: value, embedding: chatCompletion.data[0].embedding },
-      ]);
+      try {
+        const openai = new OpenAI({
+          apiKey: import.meta.env["VITE_OPENAI_API_KEY"],
+          dangerouslyAllowBrowser: true,
+        });
+
+        const chatCompletion = await openai.embeddings.create({
+          input: value,
+          model: "text-embedding-3-small",
+        });
+
+        setEmbeddingQueries((prev) => [
+          ...prev,
+          { query: value, embedding: chatCompletion.data[0].embedding },
+        ]);
+      } catch (e) {
+        if (onError) {
+          onError((e as Error).message);
+        }
+      }
     };
 
     fetchEmbeddings();
-  }, [value, allEmbeddings]);
+  }, [value, allEmbeddings, onError]);
 
   const activeEmbedding = allEmbeddings.find((e) => e.query === value);
   return activeEmbedding;