314 lines
9.3 KiB
TypeScript
314 lines
9.3 KiB
TypeScript
import { useRouter } from "next/router";
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import { useEffect, useState } from "react";
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import * as Tone from "tone";
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import AudioPlayer from "../components/AudioPlayer";
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import PageHead from "../components/PageHead";
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import Share from "../components/Share";
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import Settings from "../components/Settings";
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import ModelInference from "../components/ModelInference";
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import Pause from "../components/Pause";
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import PromptPanel from "../components/PromptPanel";
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import ThreeCanvas from "../components/ThreeCanvas";
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import {
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AppState,
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InferenceInput,
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InferenceResult,
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PromptInput,
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} from "../types";
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import Link from "next/link";
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const defaultPromptInputs = [
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{ prompt: "A jazz pianist playing a concerto" },
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{ prompt: "Techno DJ and a Country Singer" },
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{ prompt: "Classical italian tenor operatic pop" },
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{ prompt: "lo-fi beat for the holidays" },
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{ prompt: "" },
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{ prompt: "" },
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];
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function getRandomInt(max: number) {
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return Math.floor(Math.random() * max);
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}
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export default function Home() {
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// High-level state of the prompts
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const [appState, setAppState] = useState<AppState>(AppState.UNINITIALIZED);
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// Whether playback is paused
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const [paused, setPaused] = useState(true);
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// Current interpolation parameters
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const [alpha, setAlpha] = useState(0.0);
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const [alphaVelocity, setAlphaVelocity] = useState(0.25);
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const [seed, setSeed] = useState(getRandomInt(1000000));
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// Settings
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const [denoising, setDenoising] = useState(0.75);
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const [seedImageId, setSeedImageId] = useState("og_beat");
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// Prompts shown on screen and maintained by the prompt panel
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const [promptInputs, setPromptInputs] = useState<PromptInput[]>([]);
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// Model execution results
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const [inferenceResults, setInferenceResults] = useState<InferenceResult[]>(
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[]
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);
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// Currently playing result, from the audio player
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const [nowPlayingResult, setNowPlayingResult] =
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useState<InferenceResult>(null);
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// Set the initial seed from the URL if available
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const router = useRouter();
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useEffect(() => {
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// Make sure params are ready
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if (!router.isReady) {
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return;
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}
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if (router.query.alphaVelocity) {
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setAlphaVelocity(parseFloat(router.query.alphaVelocity as string));
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}
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if (router.query.seed) {
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setSeed(parseInt(router.query.seed as string));
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}
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// Set prompt inputs here so that they are empty and incorrect information isn't shown
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// until URL params have a chance to be read.
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let initPromptInputs = defaultPromptInputs;
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if (router.query.prompt) {
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initPromptInputs[3].prompt = router.query.prompt as string;
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}
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setPromptInputs(defaultPromptInputs);
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if (router.query.denoising) {
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setDenoising(parseFloat(router.query.denoising as string));
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}
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if (router.query.seedImageId) {
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setSeedImageId(router.query.seedImageId as string);
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}
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}, [router.isReady, router.query]);
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// Set the app state based on the prompt inputs array
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useEffect(() => {
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if (alpha <= 1) {
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return;
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}
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const upNextPrompt = promptInputs[promptInputs.length - 1].prompt;
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const endPrompt = promptInputs[promptInputs.length - 2].prompt;
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let newAppState = appState;
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if (appState == AppState.SAME_PROMPT) {
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if (upNextPrompt) {
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newAppState = AppState.TRANSITION;
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// swap the last two prompts to bring the upNextPrompt into the next inference call
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setPromptInputs((prevPromptInputs) => {
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const newPromptInputs = [...prevPromptInputs];
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newPromptInputs[newPromptInputs.length - 1] = {
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prompt: endPrompt,
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};
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newPromptInputs[newPromptInputs.length - 2] = {
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prompt: upNextPrompt,
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};
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return newPromptInputs;
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});
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}
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setSeed(seed + 1);
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} else if (appState == AppState.TRANSITION) {
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setPromptInputs([...promptInputs, { prompt: "" }]);
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if (upNextPrompt) {
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newAppState = AppState.TRANSITION;
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} else {
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newAppState = AppState.SAME_PROMPT;
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}
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}
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if (newAppState != appState) {
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setAppState(newAppState);
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}
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setAlpha(alpha - 1);
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}, [promptInputs, alpha, appState, seed]);
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// On any app state change, reset alpha
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useEffect(() => {
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console.log("App State: ", appState);
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if (appState == AppState.UNINITIALIZED) {
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setAppState(AppState.SAME_PROMPT);
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} else {
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setAlpha(0.25);
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}
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}, [appState]);
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// What to do when a new inference result is available
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const newResultCallback = (
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input: InferenceInput,
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result: InferenceResult
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) => {
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setInferenceResults((prevResults: InferenceResult[]) => {
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const maxResultCounter = Math.max(...prevResults.map((r) => r.counter));
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const lastResult = prevResults.find((r) => r.counter == maxResultCounter);
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const newCounter = lastResult ? lastResult.counter + 1 : 0;
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result.counter = newCounter;
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result.input = input;
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result.played = false;
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setAlpha(alpha + alphaVelocity);
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return [...prevResults, result];
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});
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};
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const nowPlayingCallback = (result: InferenceResult, playerTime: number) => {
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console.log(
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"Now playing result ",
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result.counter,
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", player time is ",
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playerTime
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);
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setNowPlayingResult(result);
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// find the first promptInput that matches the result.input.end.prompt and set it's transitionCounter to the result.counter if not already set
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setPromptInputs((prevPromptInputs) => {
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const newPromptInputs = [...prevPromptInputs];
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const promptInputIndex = newPromptInputs.findIndex(
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(p) => p.prompt == result.input.end.prompt
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);
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if (promptInputIndex >= 0) {
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if (newPromptInputs[promptInputIndex].transitionCounter == null) {
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newPromptInputs[promptInputIndex].transitionCounter = result.counter;
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}
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}
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return newPromptInputs;
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});
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// set played state for the result to true
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setInferenceResults((prevResults: InferenceResult[]) => {
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return prevResults.map((r) => {
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if (r.counter == result.counter) {
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r.played = true;
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}
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return r;
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});
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});
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};
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// TODO(hayk): This is not done yet but it's supposed to clear out future state and prompts
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// and allow the user to immediately start a new prompt.
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const resetCallback = () => {
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console.log("RESET");
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setPromptInputs([
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promptInputs[0],
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promptInputs[1],
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promptInputs[2],
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{ prompt: "" },
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{ prompt: "" },
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{ prompt: "" },
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]);
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if (nowPlayingResult == null) {
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setInferenceResults([]);
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}
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// const counter = nowPlayingResult ? nowPlayingResult.counter : -1;
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// setInferenceResults(inferenceResults.filter((r) => r.counter <= counter));
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// setNowPlayingResult(null);
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};
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return (
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<>
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<PageHead />
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<div className="absolute w-full h-screen z-10">
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{/* Note, top bg section is used to maintain color in background on ios notch devices */}
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<div className="absolute top-0 left-0 right-0 h-1 bg-[#0A2342]" />
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<div className="absolute top-1 left-0 right-0 h-1/2 bg-gradient-to-b from-[#0A2342]" />
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</div>
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<div className="bg-[#0A2342] flex flex-row min-h-screen text-white">
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<div className="absolute w-full md:w-1/3">
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<div className="absolute top-4 md:top-6 left-0 right-0 flex justify-center">
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<div
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className="text-3xl font-bold font-mono text-transparent bg-clip-text bg-gradient-to-t from-white/80 to-white/20 z-20 cursor-pointer"
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onClick={() => window.open("/about", "_blank")}
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>
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[RIFFUSION]
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</div>
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</div>
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</div>
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<div className="brightness-50 md:filter-none w-full z-0 md:w-1/3 min-h-screen">
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<ThreeCanvas
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paused={paused}
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getTime={() => Tone.Transport.seconds}
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inferenceResults={inferenceResults}
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/>
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</div>
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<ModelInference
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alpha={alpha}
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seed={seed}
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appState={appState}
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promptInputs={promptInputs}
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nowPlayingResult={nowPlayingResult}
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newResultCallback={newResultCallback}
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useBaseten={process.env.NEXT_PUBLIC_RIFFUSION_USE_BASETEN == "true"}
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denoising={denoising}
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seedImageId={seedImageId}
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/>
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<AudioPlayer
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paused={paused}
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inferenceResults={inferenceResults}
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nowPlayingCallback={nowPlayingCallback}
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/>
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<PromptPanel
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prompts={promptInputs}
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inferenceResults={inferenceResults}
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nowPlayingResult={nowPlayingResult}
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appState={appState}
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changePrompt={(prompt: string, index: number) => {
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const newPromptInputs = [...promptInputs];
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newPromptInputs[index].prompt = prompt;
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setPromptInputs(newPromptInputs);
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}}
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resetCallback={resetCallback}
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/>
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<Pause paused={paused} setPaused={setPaused} />
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<Share
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inferenceResults={inferenceResults}
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nowPlayingResult={nowPlayingResult}
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/>
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<Settings
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promptInputs={promptInputs}
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inferenceResults={inferenceResults}
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nowPlayingResult={nowPlayingResult}
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denoising={denoising}
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setDenoising={setDenoising}
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seedImage={seedImageId}
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setSeedImage={setSeedImageId}
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/>
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</div>
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</>
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);
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}
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