Val Town Code Search

htmlToMarkdownConverter main.tsx1 match

@willow•Updated 6 months ago

114        <title>HTML to Markdown Converter (with Table and Link Support)</title>
115        <meta name="viewport" content="width=device-width, initial-scale=1">
116        <link href="https://fonts.googleapis.com/css2?family=Roboto:wght@300;400;700&display=swap" rel="stylesheet">
117        <style>${css}</style>
118      </head>

sqliteExplorerApp README.md1 match

@jaip•Updated 6 months ago

13## Authentication
14
15Login to your SQLite Explorer with [password authentication](https://www.val.town/v/pomdtr/password_auth) with your [Val Town API Token](https://www.val.town/settings/api) as the password.
16
17## Todos / Plans

sqliteExplorerApp main.tsx2 matches

@jaip•Updated 6 months ago

27      <head>
28        <title>SQLite Explorer</title>
29        <link rel="preconnect" href="https://fonts.googleapis.com" />
30
31        <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
32        <link
33          href="https://fonts.googleapis.com/css2?family=Fira+Code:wght@300..700&family=Source+Sans+3:ital,wght@0,200..900;1,200..900&display=swap"
34          rel="stylesheet"
35        />

xmasRedHamster main.tsx2 matches

@trollishka•Updated 6 months ago

27
28async function getMostPopularPinterestImage(query: string): Promise<string> {
29  const searchUrl = `https://api.pinterest.com/v5/search/pins?query=${encodeURIComponent(query)}&page_size=50&sort_order=popularity`;
30  const response = await fetch(searchUrl, {
31    headers: {
36
37  if (!response.ok) {
38    throw new Error(`Pinterest API request failed: ${response.statusText}`);
39  }
40

xmasRedHamster main.tsx2 matches

@stevekrouse•Updated 6 months ago

27
28async function getMostPopularPinterestImage(query: string): Promise<string> {
29  const searchUrl = `https://api.pinterest.com/v5/search/pins?query=${encodeURIComponent(query)}&page_size=50&sort_order=popularity`;
30  const response = await fetch(searchUrl, {
31    headers: {
36
37  if (!response.ok) {
38    throw new Error(`Pinterest API request failed: ${response.statusText}`);
39  }
40

tokencounter main.tsx36 matches

@prashamtrivedi•Updated 6 months ago

10  const [modelFamily, setModelFamily] = useState("Anthropic");
11  const [tokenCount, setTokenCount] = useState(null);
12  const [anthropicApiKey, setAnthropicApiKey] = useState("");
13  const [geminiApiKey, setGeminiApiKey] = useState("");
14  const [isLoading, setIsLoading] = useState(false);
15
16  useEffect(() => {
17    const storedAnthropicKey = localStorage.getItem("anthropicApiKey");
18    const storedGeminiKey = localStorage.getItem("geminiApiKey");
19    if (storedAnthropicKey) setAnthropicApiKey(storedAnthropicKey);
20    if (storedGeminiKey) setGeminiApiKey(storedGeminiKey);
21  }, []);
22
23  const saveApiKey = (key, value) => {
24    localStorage.setItem(key, value);
25  };
26
27  const handleApiKeyChange = (e, setFunction, storageKey) => {
28    const value = e.target.value;
29    setFunction(value);
30    saveApiKey(storageKey, value);
31  };
32
33  const countTokens = async () => {
34    if (modelFamily === "Anthropic" && anthropicApiKey) {
35      try {
36        const response = await fetch("/api/count-tokens", {
37          method: "POST",
38          headers: {
40          },
41          body: JSON.stringify({
42            apiKey: anthropicApiKey,
43            systemPrompt,
44            userPrompt,
55        return 0;
56      }
57    } else if (modelFamily === "Google Gemini" && geminiApiKey) {
58      try {
59        const genAI = new GoogleGenerativeAI(geminiApiKey);
60        const modelOptions = {
61          model: "models/gemini-1.5-pro",
83      }
84    } else {
85      // Fallback to simple word count when API keys are not available
86      return (systemPrompt + userPrompt + tools).split(/\s+/).length;
87    }
95    }
96
97    if (modelFamily === "Anthropic" && !anthropicApiKey) {
98      alert("Please provide your Anthropic API key.");
99      return;
100    }
101
102    if (modelFamily === "Google Gemini" && !geminiApiKey) {
103      alert("Please provide your Google Gemini API key.");
104      return;
105    }
111    } catch (error) {
112      console.error("Error:", error);
113      alert("An error occurred while processing your request. Please check your API key and try again.");
114    } finally {
115      setIsLoading(false);
169          {modelFamily === "Anthropic" && (
170            <div>
171              <label htmlFor="anthropicApiKey" className="block text-purple-300 mb-2">Anthropic API Key:</label>
172              <input
173                type="password"
174                id="anthropicApiKey"
175                value={anthropicApiKey}
176                onChange={(e) => handleApiKeyChange(e, setAnthropicApiKey, "anthropicApiKey")}
177                placeholder="Enter your Anthropic API key"
178                className="w-full p-2 bg-gray-700 text-white rounded-md focus:outline-none focus:ring-2 focus:ring-purple-500"
179              />
182          {modelFamily === "Google Gemini" && (
183            <div>
184              <label htmlFor="geminiApiKey" className="block text-purple-300 mb-2">Google Gemini API Key:</label>
185              <input
186                type="password"
187                id="geminiApiKey"
188                value={geminiApiKey}
189                onChange={(e) => handleApiKeyChange(e, setGeminiApiKey, "geminiApiKey")}
190                placeholder="Enter your Google Gemini API key"
191                className="w-full p-2 bg-gray-700 text-white rounded-md focus:outline-none focus:ring-2 focus:ring-purple-500"
192              />
225  const url = new URL(request.url);
226
227  if (url.pathname === "/api/count-tokens") {
228    if (request.method !== "POST") {
229      return new Response("Method Not Allowed", { status: 405 });
231
232    const { Anthropic } = await import("https://esm.sh/@anthropic-ai/sdk");
233    const { apiKey, systemPrompt, userPrompt, tools } = await request.json();
234
235    const anthropic = new Anthropic({ apiKey });
236    const countRequest = {
237      betas: ["token-counting-2024-11-01"],
264  }
265
266  if (url.pathname === "/api/generate-anthropic") {
267    if (request.method !== "POST") {
268      return new Response("Method Not Allowed", { status: 405 });
270
271    const { Anthropic } = await import("https://esm.sh/@anthropic-ai/sdk");
272    const { apiKey, systemPrompt, userPrompt } = await request.json();
273
274    const anthropic = new Anthropic({ apiKey });
275
276    try {

weatherDashboard main.tsx3 matches

@oioioi•Updated 6 months ago

3import { createRoot } from "https://esm.sh/react-dom/client";
4
5const API_BASE_URL = "https://api.open-meteo.com/v1/forecast";
6
7const weatherIcons = {
34  async function fetchWeatherData(city) {
35    try {
36      const response = await fetch(`${API_BASE_URL}?latitude=40.71&longitude=-74.01&daily=weathercode,temperature_2m_max,temperature_2m_min,precipitation_probability_max&current_weather=true&timezone=auto&forecast_days=7`);
37      const data = await response.json();
38      setWeatherData(data);
126
127const css = `
128@import url('https://fonts.googleapis.com/css2?family=Roboto:wght@300;400;700&display=swap');
129
130body {

generateframeImage main.tsx5 matches

@stevekrouse•Updated 6 months ago

5async function getWeather(latitude: number, longitude: number) {
6  const url =
7    `https://api.open-meteo.com/v1/forecast?latitude=${latitude}&longitude=${longitude}&current_weather=true&temperature_unit=fahrenheit`;
8  try {
9    const response = await fetch(url);
10    if (!response.ok) {
11      throw new Error(`Weather API responded with status: ${response.status}`);
12    }
13    const data = await response.json();
143
144async function generateImage(html: string): Promise<Response> {
145  const apiKey = Deno.env.get("API_FLASH_KEY");
146  const encodedHtml = encodeURIComponent(html);
147  const url =
148    `https://api.apiflash.com/v1/urltoimage?access_key=${apiKey}&url=https://michaelwschultz-generateframeimage.web.val.run&width=800&height=480&format=png&fresh=true`;
149
150  try {
151    const response = await fetch(url);
152    if (!response.ok) {
153      throw new Error(`APIFlash responded with status: ${response.status}`);
154    }
155    return response;

sqlite main.tsx4 matches

@oioioi•Updated 6 months ago

1import { API_URL } from "https://esm.town/v/std/API_URL";
2import { LibsqlError, type ResultSet, type Row, type TransactionMode } from "npm:@libsql/client";
3import { z } from "npm:zod";
35
36async function execute(statement: InStatement, args?: InArgs): Promise<ResultSet> {
37  const res = await fetch(`${API_URL}/v1/sqlite/execute`, {
38    method: "POST",
39    headers: {
50
51async function batch(statements: InStatement[], mode?: TransactionMode): Promise<ResultSet[]> {
52  const res = await fetch(`${API_URL}/v1/sqlite/batch`, {
53    method: "POST",
54    headers: {
78
79/* Val Town's Turso Proxy returns rows as an array of values
80 * Yet the LibSQL API has a Row type which behave as an array or object,
81 * ie you can access it via numerical index or string
82 */

simpleWikipediaInstantSearch main.tsx2 matches

@maxm•Updated 6 months ago

44    <meta name="viewport" content="width=device-width, initial-scale=1.0">
45    <title>Simple Wikipedia Instant Search</title>
46    <link href="https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;600&display=swap" rel="stylesheet">
47    <link href="https://fonts.googleapis.com/icon?family=Material+Icons" rel="stylesheet">
48    <style>
49        body {

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sqliteExplorerApp README.md1 match

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