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#3487 Google Gemini 2.5 Pro: Sports Events, Play-by-Play Wagering

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#3487 Google Gemini 2.5 Pro: Sports Events, Play-by-Play Wagering #3487 I want to create an app that let's two or more people watching a sports event bet on the outcome of the next play. Examples for baseball: pitch, batter, result of play; football: offensive play and defensive result; basketball: two- or three-point shot, result of shot, rebounder, following action. Of course. I can help you build a real-time, multi-user "prop bet" application for sporting events. This app will allow you and your friends to create a game room, choose a sport, and place friendly wagers on the outcomes of individual plays. Here is a complete React application that uses Firebase Firestore for real-time data synchronization. This will allow all players in a game room to see bets and score updates instantly. import React, { useState, useEffect, useMemo } from 'react'; import { initializeApp } from 'firebase/app'; import { getAuth, signInAnonymously, onAuthStateChanged, signIn...

#3486 Google Gemini 2.5 Pro: HuggingFace Sentence Transformers.js

#3486 Google Gemini 2.5 Pro: HuggingFace Sentence Transformers.js #3486 How do I use HuggingFace sentence transformers.js? Harnessing the Power of Language with Hugging Face Sentence Transformers.js Hugging Face's Transformers.js library empowers developers to leverage state-of-the-art Natural Language Processing (NLP) models directly in the browser or Node.js environment. While there isn't a specific "Sentence Transformers.js" library, you can achieve the functionality of sentence transformers—creating meaningful numerical representations of sentences—by using the feature-extraction pipeline within the broader Transformers.js library. This allows you to perform tasks like semantic search, text clustering, and similarity comparison without server-side dependencies. Getting Started: The Basics To begin, you'll need to include the Transformers.js library in your project. The most straightforward method is to use a CDN. < script src = "https://cdn.jsdelivr...