[{"_1":2,"_122":-5,"_123":-5},"loaderData",{"_3":4,"_92":93,"_121":-5},"root",{"_5":6,"_33":34,"_59":60,"_90":91},"ctx",{"_7":8,"_18":19,"_20":-5,"_21":22,"_23":24,"_25":26,"_27":26,"_28":26,"_29":30,"_31":32},"auth",{"_9":-5,"_10":-5,"_11":-5,"_12":-5,"_13":-5,"_14":-5,"_15":-5,"_16":-5,"_17":-5},"sessionClaims","sessionId","userId","actor","orgId","orgRole","orgSlug","orgPermissions","factorVerificationAge","environmentVariableKeys",[],"user","preferences_keybindings","default","preferences_theme","light","preferences_fixers",false,"preferences_copilot","preferences_selection_ai","preferences_model","claude-3-5-haiku-20241022","notification_count",0,"ENV",{"_35":36,"_37":38,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","VAL_RUNTIME_NAME","prod","RENDER_GIT_COMMIT","2a24f0e9a29edb6ad45b57955e0c4d44af901bda","RENDER_GIT_BRANCH","main","CLERK_PUBLISHABLE_KEY","pk_live_Y2xlcmsudmFsLnRvd24k","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","API_URL","https://api.val.town","WORKER_FINGERPRINT","c7de7de11d2fa3884730f0fa9fd384f8","clerkState",{"_61":62},"__internal_clerk_state",{"_63":64,"_65":44,"_66":67,"_68":67,"_69":26,"_70":67,"_71":67,"_72":67,"_73":67,"_74":67,"_75":67,"_76":67,"_77":67,"_78":79,"_88":26,"_89":26},"__clerk_ssr_state",{"_9":-5,"_10":-5,"_11":-5,"_12":-5,"_13":-5,"_14":-5,"_15":-5,"_16":-5,"_17":-5},"__publishableKey","__proxyUrl","","__domain","__isSatellite","__signInUrl","__signUpUrl","__afterSignInUrl","__afterSignUpUrl","__signInForceRedirectUrl","__signUpForceRedirectUrl","__signInFallbackRedirectUrl","__signUpFallbackRedirectUrl","__clerk_debug",{"_80":26,"_81":67,"_82":83,"_84":67,"_85":44,"_86":26,"_87":67},"isSignedIn","proxyUrl","reason","session-token-and-uat-missing","message","publishableKey","isSatellite","domain","__telemetryDisabled","__telemetryDebug","remixVersion",2,"routes/_app.pulls.$prId",{"_94":95},"pullRequest",{"_96":97,"_98":99,"_100":101,"_102":26,"_103":26,"_104":105,"_116":117},"id","a0ef8e5c-f872-11ef-bf0b-569c3dd06744","description","Autofocus the input box","state","merged","canAccept","canCancel","target",{"_106":107,"_108":109,"_110":111,"_112":113,"_114":115},"code","import { searchEmojis } from \"https://esm.town/v/maxm/emojiVectorEmbeddings\";\nimport { extractValInfo } from \"https://esm.town/v/pomdtr/extractValInfo?v=29\";\nimport { Hono } from \"npm:hono@3.2.7\";\nconst app = new Hono();\n\nconst { htmlUrl } = extractValInfo(import.meta.url);\n\nconst fuseOptions = {\n // Only search for prefixes to make things faster\n location: 0,\n threshold: 0,\n distance: 0,\n};\n\n// Search endpoint\napp.get(\"/search\", async (c) => {\n let query = c.req.query(\"q\");\n if (typeof query !== \"string\") {\n return c.text(\"Invalid query\", 400);\n }\n query = query.trim();\n const t0 = performance.now();\n const results = await searchEmojis(query);\n return c.json(results, 200, { \"Time\": String(performance.now() - t0) });\n});\n\n// Serve the frontend\napp.get(\"/\", (c) => {\n return c.html(html);\n});\n\nconst html = `\n\n\n\n \n \n Emoji Vibes Search\n \n \n \n\n\n

Emoji Vibes Search

\n Use plain language to search for emojis. Get great results.\n
\n Built on Val Town with sqlite vector search and openai embeddings.\n
\n Fork the source and build your own!\n

\n search\n \n

\n View Source\n\n \n\n\n`;\n\nexport default app.fetch.bind(app);","readme","# Emoji Instant Search\n\nUses vector embeddings to get \"vibes\" search on emojis\n\n\n![image.png](https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/df520ac1-06f0-4502-902e-0e07adaab400/public)\n\nWays this could be better:\n\n- Give it a better name, like: actuallygoodemojisearch.net\n- Index the emojis better, eg: feed the emoji image into an llm and get a richer description of what the emoji is and represents.\n- Make static pages for each emoji with \"related\" emojis (do vector similarity on the current emoji against other emojis).","handle","maxm","profileImageUrl","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvdXBsb2FkZWQvaW1nXzJnTEtkSHlOMWxWZm1GRHdKYUVTNklYM3FpdiJ9","name","actuallyGoodEmojiSearch","fork",{"_106":118,"_108":109,"_110":119,"_112":120,"_114":115},"import { searchEmojis } from \"https://esm.town/v/maxm/emojiVectorEmbeddings\";\nimport { extractValInfo } from \"https://esm.town/v/pomdtr/extractValInfo?v=29\";\nimport { Hono } from \"npm:hono@3.2.7\";\nconst app = new Hono();\n\nconst { htmlUrl } = extractValInfo(import.meta.url);\n\nconst fuseOptions = {\n // Only search for prefixes to make things faster\n location: 0,\n threshold: 0,\n distance: 0,\n};\n\n// Search endpoint\napp.get(\"/search\", async (c) => {\n let query = c.req.query(\"q\");\n if (typeof query !== \"string\") {\n return c.text(\"Invalid query\", 400);\n }\n query = query.trim();\n const t0 = performance.now();\n const results = await searchEmojis(query);\n return c.json(results, 200, { \"Time\": String(performance.now() - t0) });\n});\n\n// Serve the frontend\napp.get(\"/\", (c) => {\n return c.html(html);\n});\n\nconst html = `\n\n\n\n \n \n Emoji Vibes Search\n \n \n \n\n\n

Emoji Vibes Search

\n Use plain language to search for emojis. Get great results.\n
\n Built on Val Town with sqlite vector search and openai embeddings.\n
\n Fork the source and build your own!\n

\n search\n \n

\n View Source\n\n \n\n\n`;\n\nexport default app.fetch.bind(app);","stevekrouse","https://images.clerk.dev/uploaded/img_2PqHa2Gsy93xQrjh2w78Xu0cChW.jpeg","routes/_app","actionData","errors"]

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maxm/actuallyGoodEmojiSearch

stevekrouse/actuallyGoodEmojiSearch