https://github.com/Jakinlade/Peektionary-Game
https://peektionary.netlify.app/
Peektionary is an interactive image guessing game that utilizes openAI's DallE technology. The app generates a random image based on a prompt word, which the user must guess. The game is designed to challenge the user's cognitive abilities and provide a unique experience for interacting with AI-generated images. The app is built using React and styled with Tailwind CSS, and utilizes a random slug generator npm module to generate the prompts for the DallE API. The user can play the game and see their score at the end. Peektionary's objective is to provide a fun and engaging way for users to interact with AI-generated images. In future updates, the app may include features such as using openAI's ChatGPT API for generating hints and difficulty levels that increase the number of words used in the prompt.
Difficulty mode selector buttons
const DifficultySelector = ({ onSelectDifficulty }) => {
const handleDifficultyClick = (difficulty) => {
// setSelectedDifficulty(difficulty);
onSelectDifficulty(difficulty);
console.log("Selected difficulty:", difficulty);
};
return (
<div>
<div
id="select-level"
className="scale-5 text-xl border-2 border-solid border-zinc-900 flex justify-evenly bg-gray-300"
>
<h2>Select difficulty:</h2>
<button
onClick={() => handleDifficultyClick("easy")}
className="hover:font-extrabold"
>
Easy
</button>
<button
onClick={() => handleDifficultyClick("medium")}
className="hover:font-extrabold"
>
Medium
</button>
<button
onClick={() => handleDifficultyClick("hard")}
className="hover:font-extrabold"
>
Hard
</button>
</div>
<divA function that uses a randomly generated Phrase as the prompt for the openAI image generator API
function ImageGenerator(props) {
const { phrase } = useContext(GameContext); // Get the phrase from the GameContext
const configuration = new Configuration({
apiKey: apiKey,
});
const openai = new OpenAIApi(configuration);
const [result, setResult] = useState("");
const generateImage = async (slug) => {
console.log(slug);
const res = await openai.createImage({
prompt: slug,
n: 1,
size: "512x512",
});
setResult(res.data.data[0].url);
};
https://github.com/jaycee808 https://github.com/markmos1991 https://github.com/Jakinlade
Copyright (c) 2023
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.