31:[] 2f:{"title":"Search for Faucets with CLIP","cells":[{"id":0,"value":"# Search for Faucets with CLIP\n\nUses https://faucet-finder.fly.dev/ - but this does not seem to work exactly as it should.\n\nTry `purple` or `gold` or `nintendo`","pinned":false,"hidden":false,"mode":"md"},{"id":81,"value":"viewof text = Inputs.text({\n label: \"Search term\"\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":139,"value":"html`

${faucets\n .reverse()\n .map(\n (img) =>\n `

${img[0]}
${img[1]}

`\n )\n .join(\"\")}

`","pinned":true,"hidden":false,"mode":"ojs"},{"id":163,"value":"Or paste in a JSON array here:","pinned":false,"hidden":false,"mode":"md"},{"id":165,"value":"viewof pasted = Inputs.textarea()","pinned":true,"hidden":false,"mode":"ojs"},{"id":173,"value":"html`

${pastedFaucets\n .reverse()\n .map(\n (img) =>\n `

${img[0]}
${img[1]}

`\n )\n .join(\"\")}

`","pinned":true,"hidden":false,"mode":"ojs"},{"id":168,"value":"pastedFaucets = pasted\n ? (\n await fetch(\n `https://faucet-finder.fly.dev/faucets.json?sql=select+value+from+json_each(faiss_search_with_scores(%27faucets%27%2C+%27embeddings%27%2C+faiss_encode(%3Adata)%2C+4))&data=${pasted}&_shape=arrayfirst&_json=value`\n )\n ).json()\n : []","pinned":true,"hidden":false,"mode":"ojs"},{"id":136,"value":"faucets = (\n await fetch(\n `https://faucet-finder.fly.dev/faucets.json?sql=select+value+from+json_each(faiss_search_with_scores(%27faucets%27%2C+%27embeddings%27%2C+faiss_encode(%3Adata)%2C+4))&data=${JSON.stringify(\n Array.from(textEmbeddings.text_embeds.data)\n )}&_shape=arrayfirst&_json=value`\n )\n).json()","pinned":true,"hidden":false,"mode":"ojs"},{"id":105,"value":"html``","pinned":true,"hidden":false,"mode":"ojs"},{"id":4,"value":"transformers = import(\"https://cdn.jsdelivr.net/npm/@xenova/transformers\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":49,"value":"tokenizer = await transformers.AutoTokenizer.from_pretrained(\n \"Xenova/clip-vit-base-patch32\"\n)","pinned":true,"hidden":false,"mode":"ojs"},{"id":52,"value":"text_model = await transformers.CLIPTextModelWithProjection.from_pretrained(\n \"Xenova/clip-vit-base-patch32\"\n)","pinned":true,"hidden":false,"mode":"ojs"},{"id":57,"value":"text_inputs = tokenizer([text], { padding: true, truncation: true })","pinned":true,"hidden":false,"mode":"ojs"},{"id":59,"value":"textEmbeddings = await text_model(text_inputs)","pinned":true,"hidden":false,"mode":"ojs"}],"files":"$W31","stdlib":"1","titling":"auto"}