Multi-User Chat with GPT-4o

Your username: {username}

\n {messages.map((msg, index) => (\n

\n {msg.username}: {msg.content}\n

\n ))}\n

\n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n const openai = new OpenAI();\n const SCHEMA_VERSION = 2;\n const KEY = \"multiUserChatwithLLM\";\n\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${KEY}_messages_${SCHEMA_VERSION} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n role TEXT NOT NULL,\n content TEXT NOT NULL,\n username TEXT NOT NULL,\n timestamp DATETIME DEFAULT CURRENT_TIMESTAMP\n )\n `);\n\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${KEY}_reset_${SCHEMA_VERSION} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n token INTEGER NOT NULL,\n timestamp DATETIME DEFAULT CURRENT_TIMESTAMP\n )\n `);\n\n if (request.method === \"GET\" && new URL(request.url).pathname === \"/username\") {\n const username = `User${Math.floor(Math.random() * 10000)}`;\n return new Response(JSON.stringify({ username }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n if (request.method === \"POST\" && new URL(request.url).pathname === \"/send\") {\n const { message, username } = await request.json();\n \n await sqlite.execute(`INSERT INTO ${KEY}_messages_${SCHEMA_VERSION} (role, content, username) VALUES (?, ?, ?)`, [\"user\", message, username]);\n \n // Fetch recent context\n const contextResult = await sqlite.execute(\n `SELECT role, content, username FROM ${KEY}_messages_${SCHEMA_VERSION} \n ORDER BY id DESC LIMIT 10`\n );\n const context = contextResult.rows.reverse();\n\n // Prepare messages for the LLM\n const messages = context.map(msg => ({\n role: msg.role === \"user\" ? \"user\" : \"assistant\",\n content: `${msg.username}: ${msg.content}`\n }));\n messages.push({ role: \"user\", content: `${username}: ${message}` });\n\n const completion = await openai.chat.completions.create({\n messages,\n model: \"gpt-4o-mini\",\n max_tokens: 150,\n });\n\n const aiResponse = completion.choices[0].message.content;\n await sqlite.execute(`INSERT INTO ${KEY}_messages_${SCHEMA_VERSION} (role, content, username) VALUES (?, ?, ?)`, [\"assistant\", aiResponse, \"GPT-4o\"]);\n\n return new Response(JSON.stringify({ success: true }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n if (request.method === \"GET\" && new URL(request.url).pathname === \"/messages\") {\n const result = await sqlite.execute(`SELECT id, role, content, username FROM ${KEY}_messages_${SCHEMA_VERSION} ORDER BY id ASC`);\n return new Response(JSON.stringify(result.rows), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n if (request.method === \"GET\" && new URL(request.url).pathname === \"/new-messages\") {\n const url = new URL(request.url);\n const lastId = url.searchParams.get(\"lastId\") || \"0\";\n const result = await sqlite.execute(`SELECT id, role, content, username FROM ${KEY}_messages_${SCHEMA_VERSION} WHERE id > ? ORDER BY id ASC`, [lastId]);\n return new Response(JSON.stringify(result.rows), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n if (request.method === \"POST\" && new URL(request.url).pathname === \"/reset\") {\n await sqlite.execute(`DELETE FROM ${KEY}_messages_${SCHEMA_VERSION}`);\n const newToken = Date.now();\n await sqlite.execute(`INSERT INTO ${KEY}_reset_${SCHEMA_VERSION} (token) VALUES (?)`, [newToken]);\n return new Response(JSON.stringify({ success: true }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n if (request.method === \"GET\" && new URL(request.url).pathname === \"/check-reset\") {\n const url = new URL(request.url);\n const clientToken = url.searchParams.get(\"token\") || \"0\";\n const result = await sqlite.execute(`SELECT token FROM ${KEY}_reset_${SCHEMA_VERSION} ORDER BY id DESC LIMIT 1`);\n const latestToken = result.rows[0]?.token || 0;\n const reset = parseInt(clientToken) < latestToken;\n return new Response(JSON.stringify({ reset, token: latestToken }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n return new Response(`\n \n \n Multi-User Chat with GPT-4o\n \n \n \n

\n \n \n \n \n `,\n {\n headers: {\n \"content-type\": \"text/html\",\n },\n });\n}\n\nconst css = `\nbody {\n font-family: Arial, sans-serif;\n margin: 0;\n padding: 0;\n background-color: #f0f0f0;\n}\n.chat-container {\n max-width: 600px;\n margin: 20px auto;\n background-color: white;\n border-radius: 8px;\n box-shadow: 0 2px 10px rgba(0,0,0,0.1);\n padding: 20px;\n display: flex;\n flex-direction: column;\n height: 80vh;\n}\nh1 {\n text-align: center;\n color: #333;\n margin-top: 0;\n}\n.messages-container {\n flex-grow: 1;\n overflow-y: auto;\n border: 1px solid #ddd;\n padding: 10px;\n margin-bottom: 20px;\n}\n.messages {\n display: flex;\n flex-direction: column;\n}\n.message {\n margin-bottom: 10px;\n padding: 5px;\n border-radius: 5px;\n max-width: 80%;\n}\n.message.user {\n background-color: #e6f3ff;\n align-self: flex-end;\n}\n.message.assistant {\n background-color: #f0f0f0;\n align-self: flex-start;\n}\nform {\n display: flex;\n margin-bottom: 10px;\n}\ninput {\n flex-grow: 1;\n padding: 10px;\n font-size: 16px;\n border: 1px solid #ddd;\n border-radius: 4px 0 0 4px;\n}\nbutton {\n padding: 10px 20px;\n font-size: 16px;\n background-color: #007bff;\n color: white;\n border: none;\n border-radius: 0 4px 4px 0;\n cursor: pointer;\n}\nbutton:hover {\n background-color: #0056b3;\n}\n.reset-button {\n width: 100%;\n margin-bottom: 10px;\n border-radius: 4px;\n}\na {\n display: block;\n text-align: center;\n margin-top: 10px;\n color: #007bff;\n text-decoration: none;\n}\na:hover {\n text-decoration: underline;\n}\n`;","deleted","label",[98],"permalink","https://www.val.town/x/trob/multiUserChatwithLLM/code/main.tsx","extension","actionData","errors"]