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import React, { useState, useEffect } from "react"; |
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import { generateCalendarData } from "../utils/calendar"; |
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import { |
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OpenSourceHeatmapProps, |
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ProviderInfo, |
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ModelData, |
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} from "../types/heatmap"; |
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import Heatmap from "../components/Heatmap"; |
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import { fetchAllProvidersData, fetchAllAuthorsData } from "../utils/authors"; |
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const PROVIDERS: ProviderInfo[] = [ |
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{ color: "#ff7000", authors: ["mistralai"] }, |
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{ color: "#1877F2", authors: ["meta-llama", "facebook", ] }, |
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{ color: "#10A37F", authors: ["openai"] }, |
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{ color: "#cc785c", authors: ["Anthropic"] }, |
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{ color: "#DB4437", authors: ["google"] }, |
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{ color: "#5E35B1", authors: ["allenai"] }, |
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{ color: "#0088cc", authors: ["apple"] }, |
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{ color: "#FEB800", authors: ["microsoft"] }, |
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{ color: "#76B900", authors: ["nvidia"] }, |
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{ color: "#0088cc", authors: ["deepseek-ai"] }, |
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{ color: "#0088cc", authors: ["Qwen"] }, |
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{ color: "#4C6EE6", authors: ["CohereForAI"] }, |
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{ color: "#4C6EE6", authors: ["ibm-granite"] }, |
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{ color: "#A020F0", authors: ["stabilityai"] }, |
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]; |
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export async function getStaticProps() { |
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try { |
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const allAuthors = PROVIDERS.flatMap(({ authors }) => authors); |
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const uniqueAuthors = Array.from(new Set(allAuthors)); |
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const flatData: ModelData[] = await fetchAllAuthorsData(uniqueAuthors); |
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const updatedProviders = await fetchAllProvidersData(PROVIDERS); |
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const calendarData = generateCalendarData(flatData, updatedProviders); |
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return { |
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props: { |
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calendarData, |
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providers: updatedProviders, |
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}, |
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revalidate: 3600, |
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}; |
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} catch (error) { |
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console.error("Error fetching data:", error); |
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return { |
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props: { |
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calendarData: {}, |
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providers: PROVIDERS, |
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}, |
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revalidate: 60, |
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}; |
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} |
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} |
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const OpenSourceHeatmap: React.FC<OpenSourceHeatmapProps> = ({ |
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calendarData, |
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providers, |
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}) => { |
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const [isLoading, setIsLoading] = useState(true); |
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|
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useEffect(() => { |
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if (calendarData && Object.keys(calendarData).length > 0) { |
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setIsLoading(false); |
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} |
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}, [calendarData]); |
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return ( |
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<div className="w-full max-w-screen-lg mx-auto p-4"> |
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<h1 className="text-3xl lg:text-5xl mt-16 font-bold text-center mb-2"> |
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Hugging Face Heatmap π€ |
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</h1> |
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<p className="text-center text-sm my-8"> |
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Models, Datasets, and Spaces from the top AI labs. <br /> |
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Request more heatmaps by{" "} |
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<a |
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href="https://huggingface.co/spaces/cfahlgren1/model-release-heatmap/discussions/new" |
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target="_blank" |
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rel="noopener noreferrer" |
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className="text-blue-500 hover:underline" |
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> |
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opening a discussion |
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</a> |
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. |
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</p> |
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{isLoading ? ( |
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<p className="text-center">Loading...</p> |
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) : ( |
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<div className="space-y-16"> |
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{providers |
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.sort((a, b) => |
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calendarData[b.fullName || b.authors[0]].reduce( |
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(sum, day) => sum + day.count, |
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0 |
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) - |
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calendarData[a.fullName || a.authors[0]].reduce( |
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(sum, day) => sum + day.count, |
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0 |
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) |
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) |
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.map((provider) => { |
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const providerName = provider.fullName || provider.authors[0]; |
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return ( |
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<div key={providerName} className="flex flex-col items-center"> |
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<Heatmap |
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data={calendarData[providerName]} |
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color={provider.color} |
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providerName={providerName} |
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fullName={provider.fullName ?? providerName} |
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avatarUrl={provider.avatarUrl ?? ''} |
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/> |
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</div> |
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); |
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})} |
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</div> |
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)} |
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</div> |
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); |
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}; |
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export default OpenSourceHeatmap; |