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\n\n \n\n`;\n}\n\n/**\n * Ensures the 3D model is loaded and stored in the blob store.\n * This is done once to avoid fetching it on every request.\n */\nasync function getModelDataUri(): Promise {\n const MODEL_KEY = \"rigged_hand_model_glb\";\n const MODEL_URL =\n \"https://firebasestorage.googleapis.com/v0/b/val-town.appspot.com/o/vals%2Fstevekrouse%2Frigged_hand.glb?alt=media&token=e3b75abe-3221-46b5-a309-a78b958c89f5\";\n\n let dataUri = await blob.getJSON(MODEL_KEY);\n\n if (!dataUri) {\n console.log(\"3D model not found in blob store. Fetching and caching...\");\n const response = await fetch(MODEL_URL);\n if (!response.ok) {\n throw new Error(`Failed to fetch model: ${response.statusText}`);\n }\n const buffer = await response.arrayBuffer();\n const base64 = btoa(\n new Uint8Array(buffer)\n .reduce((data, byte) => data + String.fromCharCode(byte), \"\"),\n );\n dataUri = `data:application/octet-stream;base64,${base64}`;\n await blob.setJSON(MODEL_KEY, dataUri);\n console.log(\"Model cached successfully.\");\n }\n\n return dataUri;\n}\n\n/**\n * Main Val Town HTTP handler.\n */\nexport default async function (req: Request) {\n const url = new URL(req.url);\n const action = url.searchParams.get(\"action\");\n\n if (req.method === \"POST\" && action === \"classify\") {\n try {\n const openai = new OpenAI();\n const body = await req.json();\n\n if (!body.landmark_history || !Array.isArray(body.landmark_history)) {\n throw new Error(\"Invalid input: landmark_history is required.\");\n }\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: GESTURE_CLASSIFIER_PROMPT },\n {\n role: \"user\",\n content: JSON.stringify({\n landmark_history: body.landmark_history,\n }),\n },\n ],\n temperature: 0.1,\n response_format: { type: \"json_object\" },\n });\n\n const content = completion.choices[0].message.content;\n return new Response(content, {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"AI Gesture Classification Error:\", error);\n return new Response(\n JSON.stringify({\n error: error.message || \"An unknown error occurred.\",\n }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n\n // For GET requests, serve the HTML page.\n try {\n const modelDataUri = await getModelDataUri();\n const sourceUrl = `https://${url.hostname}${url.pathname}/`;\n const html = generateHtml(sourceUrl, modelDataUri);\n return new Response(html, { headers: { \"Content-Type\": \"text/html\" } });\n } catch (error) {\n console.error(\"Failed to serve HTML page:\", error);\n return new Response(\n `

Error

Could not load the application: ${error.message}

`,\n {\n status: 500,\n headers: { \"Content-Type\": \"text/html\" },\n },\n );\n }\n}","deleted","label",[98],"permalink","https://www.val.town/x/know/gesture/code/main.ts","extension","actionData","errors"]