index int64 0 0 | repo_id stringclasses 351
values | file_path stringlengths 26 186 | content stringlengths 1 990k |
|---|---|---|---|
0 | hf_public_repos/chat-ui/src/lib | hf_public_repos/chat-ui/src/lib/server/embeddingModels.ts | import { env } from "$env/dynamic/private";
import { z } from "zod";
import { sum } from "$lib/utils/sum";
import {
embeddingEndpoints,
embeddingEndpointSchema,
type EmbeddingEndpoint,
} from "$lib/server/embeddingEndpoints/embeddingEndpoints";
import { embeddingEndpointTransformersJS } from "$lib/server/embeddingE... |
0 | hf_public_repos/chat-ui/src/lib | hf_public_repos/chat-ui/src/lib/server/abortedGenerations.ts | // Shouldn't be needed if we dove into sveltekit internals, see https://github.com/huggingface/chat-ui/pull/88#issuecomment-1523173850
import { logger } from "$lib/server/logger";
import { collections } from "$lib/server/database";
import { onExit } from "./exitHandler";
export class AbortedGenerations {
private sta... |
0 | hf_public_repos/chat-ui/src/lib | hf_public_repos/chat-ui/src/lib/server/exitHandler.ts | import { randomUUID } from "$lib/utils/randomUuid";
import { timeout } from "$lib/utils/timeout";
import { logger } from "./logger";
type ExitHandler = () => void | Promise<void>;
type ExitHandlerUnsubscribe = () => void;
const listeners = new Map<string, ExitHandler>();
export function onExit(cb: ExitHandler): Exit... |
0 | hf_public_repos/chat-ui/src/lib | hf_public_repos/chat-ui/src/lib/server/isURLLocal.spec.ts | import { isURLLocal } from "./isURLLocal";
import { describe, expect, it } from "vitest";
describe("isURLLocal", async () => {
it("should return true for localhost", async () => {
expect(await isURLLocal(new URL("http://localhost"))).toBe(true);
});
it("should return true for 127.0.0.1", async () => {
expect(aw... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/embeddingEndpoints/embeddingEndpoints.ts | import { z } from "zod";
import {
embeddingEndpointTei,
embeddingEndpointTeiParametersSchema,
} from "./tei/embeddingEndpoints";
import {
embeddingEndpointTransformersJS,
embeddingEndpointTransformersJSParametersSchema,
} from "./transformersjs/embeddingEndpoints";
import {
embeddingEndpointOpenAI,
embeddingEndpo... |
0 | hf_public_repos/chat-ui/src/lib/server/embeddingEndpoints | hf_public_repos/chat-ui/src/lib/server/embeddingEndpoints/openai/embeddingEndpoints.ts | import { z } from "zod";
import type { EmbeddingEndpoint, Embedding } from "../embeddingEndpoints";
import { chunk } from "$lib/utils/chunk";
import { env } from "$env/dynamic/private";
export const embeddingEndpointOpenAIParametersSchema = z.object({
weight: z.number().int().positive().default(1),
model: z.any(),
... |
0 | hf_public_repos/chat-ui/src/lib/server/embeddingEndpoints | hf_public_repos/chat-ui/src/lib/server/embeddingEndpoints/transformersjs/embeddingEndpoints.ts | import { z } from "zod";
import type { EmbeddingEndpoint } from "../embeddingEndpoints";
import type { Tensor, FeatureExtractionPipeline } from "@huggingface/transformers";
import { pipeline } from "@huggingface/transformers";
export const embeddingEndpointTransformersJSParametersSchema = z.object({
weight: z.number(... |
0 | hf_public_repos/chat-ui/src/lib/server/embeddingEndpoints | hf_public_repos/chat-ui/src/lib/server/embeddingEndpoints/tei/embeddingEndpoints.ts | import { z } from "zod";
import type { EmbeddingEndpoint, Embedding } from "../embeddingEndpoints";
import { chunk } from "$lib/utils/chunk";
import { env } from "$env/dynamic/private";
import { logger } from "$lib/server/logger";
export const embeddingEndpointTeiParametersSchema = z.object({
weight: z.number().int()... |
0 | hf_public_repos/chat-ui/src/lib/server/embeddingEndpoints | hf_public_repos/chat-ui/src/lib/server/embeddingEndpoints/hfApi/embeddingHfApi.ts | import { z } from "zod";
import type { EmbeddingEndpoint, Embedding } from "../embeddingEndpoints";
import { chunk } from "$lib/utils/chunk";
import { env } from "$env/dynamic/private";
import { logger } from "$lib/server/logger";
export const embeddingEndpointHfApiSchema = z.object({
weight: z.number().int().positiv... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/websearch/update.ts | import type { WebSearchSource } from "$lib/types/WebSearch";
import {
MessageUpdateType,
MessageWebSearchUpdateType,
type MessageWebSearchErrorUpdate,
type MessageWebSearchFinishedUpdate,
type MessageWebSearchGeneralUpdate,
type MessageWebSearchSourcesUpdate,
} from "$lib/types/MessageUpdate";
export function ma... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/websearch/runWebSearch.ts | import { defaultEmbeddingModel, embeddingModels } from "$lib/server/embeddingModels";
import type { Conversation } from "$lib/types/Conversation";
import type { Message } from "$lib/types/Message";
import type { WebSearch, WebSearchScrapedSource } from "$lib/types/WebSearch";
import type { Assistant } from "$lib/types... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch | hf_public_repos/chat-ui/src/lib/server/websearch/markdown/tree.ts | import type { SerializedHTMLElement } from "../scrape/types";
import { htmlElementToMarkdownElements, mergeAdjacentElements } from "./fromHtml";
import type { HeaderElement, MarkdownElement } from "./types";
import { MarkdownElementType } from "./types";
import { chunkElements } from "./utils/chunk";
/**
* Converts H... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch | hf_public_repos/chat-ui/src/lib/server/websearch/markdown/fromHtml.ts | import { collapseString, sanitizeString } from "./utils/nlp";
import { stringifyHTMLElements, stringifyHTMLElementsUnformatted } from "./utils/stringify";
import { MarkdownElementType, tagNameMap, type HeaderElement, type MarkdownElement } from "./types";
import type { SerializedHTMLElement } from "../scrape/types";
i... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch | hf_public_repos/chat-ui/src/lib/server/websearch/markdown/types.ts | /* eslint-disable-next-line no-shadow */
export enum MarkdownElementType {
Header = "HEADER",
Paragraph = "PARAGRAPH",
BlockQuote = "BLOCKQUOTE",
CodeBlock = "CODE_BLOCK",
UnorderedList = "UNORDERED_LIST",
OrderedList = "ORDERED_LIST",
UnorderedListItem = "UNORDERED_LIST_ITEM",
OrderedListItem = "ORDERED_LIST_... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch/markdown | hf_public_repos/chat-ui/src/lib/server/websearch/markdown/utils/nlp.ts | /** Remove excess whitespace and newlines */
export const sanitizeString = (str: string) =>
str
.split("\n")
.map((s) => s.trim())
.filter(Boolean)
.join("\n")
.replaceAll(/ +/g, " ");
/** Collapses a string into a single line */
export const collapseString = (str: string) => sanitizeString(str.replaceAll(/... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch/markdown | hf_public_repos/chat-ui/src/lib/server/websearch/markdown/utils/stringify.ts | import type { SerializedHTMLElement } from "../../scrape/types";
import { MarkdownElementType, type MarkdownElement } from "../types";
// --- Markdown Elements ---
/** Converts markdown element to a string with formatting */
export function stringifyMarkdownElement(elem: MarkdownElement): string {
const content = el... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch/markdown | hf_public_repos/chat-ui/src/lib/server/websearch/markdown/utils/chunk.ts | import { sentences as splitBySentences } from "sbd";
import { MarkdownElementType, type MarkdownElement } from "../types";
export function chunkElements(elements: MarkdownElement[], maxLength: number): MarkdownElement[] {
return elements.flatMap((elem) => {
// Can't split headers because it would break the tree, an... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch | hf_public_repos/chat-ui/src/lib/server/websearch/scrape/parser.ts | import type { SerializedHTMLElement } from "./types";
interface DBSCANOptions<T> {
dataset: T[];
epsilon?: number;
epsilonCompare?: (distance: number, epsilon: number) => boolean;
minimumPoints?: number;
distanceFunction: (a: T, b: T) => number;
}
export function spatialParser() {
/**
* Implementation for dbs... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch | hf_public_repos/chat-ui/src/lib/server/websearch/scrape/types.ts | export interface SerializedHTMLElement {
tagName: string;
attributes: Record<string, string>;
content: (SerializedHTMLElement | string)[];
}
|
0 | hf_public_repos/chat-ui/src/lib/server/websearch | hf_public_repos/chat-ui/src/lib/server/websearch/scrape/playwright.ts | import {
chromium,
devices,
type Page,
type BrowserContextOptions,
type Response,
type Browser,
} from "playwright";
import { PlaywrightBlocker } from "@cliqz/adblocker-playwright";
import { env } from "$env/dynamic/private";
import { logger } from "$lib/server/logger";
import { onExit } from "$lib/server/exitHan... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch | hf_public_repos/chat-ui/src/lib/server/websearch/scrape/scrape.ts | import type { WebSearchScrapedSource, WebSearchSource } from "$lib/types/WebSearch";
import type { MessageWebSearchUpdate } from "$lib/types/MessageUpdate";
import { withPage } from "./playwright";
import { spatialParser } from "./parser";
import { htmlToMarkdownTree } from "../markdown/tree";
import { timeout } from ... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch | hf_public_repos/chat-ui/src/lib/server/websearch/search/endpoints.ts | import { WebSearchProvider, type WebSearchSource } from "$lib/types/WebSearch";
import { env } from "$env/dynamic/private";
import searchSerper from "./endpoints/serper";
import searchSerpApi from "./endpoints/serpApi";
import searchSerpStack from "./endpoints/serpStack";
import searchYouApi from "./endpoints/youApi";
... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch | hf_public_repos/chat-ui/src/lib/server/websearch/search/search.ts | import type { WebSearchSource } from "$lib/types/WebSearch";
import type { Message } from "$lib/types/Message";
import type { Assistant } from "$lib/types/Assistant";
import { getWebSearchProvider, searchWeb } from "./endpoints";
import { generateQuery } from "./generateQuery";
import { isURLStringLocal } from "$lib/se... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch | hf_public_repos/chat-ui/src/lib/server/websearch/search/generateQuery.ts | import type { Message } from "$lib/types/Message";
import { format } from "date-fns";
import type { EndpointMessage } from "../../endpoints/endpoints";
import { generateFromDefaultEndpoint } from "../../generateFromDefaultEndpoint";
import { getReturnFromGenerator } from "$lib/utils/getReturnFromGenerator";
export asy... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch/search | hf_public_repos/chat-ui/src/lib/server/websearch/search/endpoints/searchApi.ts | import { env } from "$env/dynamic/private";
import type { WebSearchSource } from "$lib/types/WebSearch";
export default async function search(query: string): Promise<WebSearchSource[]> {
const response = await fetch(
`https://www.searchapi.io/api/v1/search?engine=google&hl=en&gl=us&q=${query}`,
{
method: "GET"... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch/search | hf_public_repos/chat-ui/src/lib/server/websearch/search/endpoints/searxng.ts | import { env } from "$env/dynamic/private";
import { logger } from "$lib/server/logger";
import type { WebSearchSource } from "$lib/types/WebSearch";
import { isURL } from "$lib/utils/isUrl";
export default async function searchSearxng(query: string): Promise<WebSearchSource[]> {
const abortController = new AbortCont... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch/search | hf_public_repos/chat-ui/src/lib/server/websearch/search/endpoints/bing.ts | import type { WebSearchSource } from "$lib/types/WebSearch";
import { env } from "$env/dynamic/private";
export default async function search(query: string): Promise<WebSearchSource[]> {
// const params = {
// q: query,
// // You can add other parameters if needed, like 'count', 'offset', etc.
// };
cons... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch/search | hf_public_repos/chat-ui/src/lib/server/websearch/search/endpoints/serpStack.ts | import { env } from "$env/dynamic/private";
import { isURL } from "$lib/utils/isUrl";
import type { WebSearchSource } from "$lib/types/WebSearch";
type SerpStackResponse = {
organic_results: {
title: string;
url: string;
snippet?: string;
}[];
error?: string;
};
export default async function searchSerpStack(... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch/search | hf_public_repos/chat-ui/src/lib/server/websearch/search/endpoints/webLocal.ts | import { JSDOM, VirtualConsole } from "jsdom";
import { isURL } from "$lib/utils/isUrl";
import type { WebSearchSource } from "$lib/types/WebSearch";
export default async function searchWebLocal(query: string): Promise<WebSearchSource[]> {
const abortController = new AbortController();
setTimeout(() => abortControll... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch/search | hf_public_repos/chat-ui/src/lib/server/websearch/search/endpoints/serper.ts | import { env } from "$env/dynamic/private";
import type { WebSearchSource } from "$lib/types/WebSearch";
export default async function search(query: string): Promise<WebSearchSource[]> {
const params = {
q: query,
hl: "en",
gl: "us",
};
const response = await fetch("https://google.serper.dev/search", {
met... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch/search | hf_public_repos/chat-ui/src/lib/server/websearch/search/endpoints/youApi.ts | import { env } from "$env/dynamic/private";
import { isURL } from "$lib/utils/isUrl";
import type { WebSearchSource } from "$lib/types/WebSearch";
interface YouWebSearch {
hits: YouSearchHit[];
latency: number;
}
interface YouSearchHit {
url: string;
title: string;
description: string;
snippets: string[];
}
ex... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch/search | hf_public_repos/chat-ui/src/lib/server/websearch/search/endpoints/serpApi.ts | import { env } from "$env/dynamic/private";
import { getJson, type GoogleParameters } from "serpapi";
import type { WebSearchSource } from "$lib/types/WebSearch";
import { isURL } from "$lib/utils/isUrl";
type SerpApiResponse = {
organic_results: {
link: string;
}[];
};
export default async function searchWebSerp... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch | hf_public_repos/chat-ui/src/lib/server/websearch/embed/embed.ts | import { MetricsServer } from "$lib/server/metrics";
import type { WebSearchScrapedSource, WebSearchUsedSource } from "$lib/types/WebSearch";
import type { EmbeddingBackendModel } from "../../embeddingModels";
import { getSentenceSimilarity, innerProduct } from "../../sentenceSimilarity";
import { MarkdownElementType, ... |
0 | hf_public_repos/chat-ui/src/lib/server/websearch | hf_public_repos/chat-ui/src/lib/server/websearch/embed/tree.ts | import type { MarkdownElement } from "../markdown/types";
export function flattenTree(elem: MarkdownElement): MarkdownElement[] {
if ("children" in elem) return [elem, ...elem.children.flatMap(flattenTree)];
return [elem];
}
|
0 | hf_public_repos/chat-ui/src/lib/server/websearch | hf_public_repos/chat-ui/src/lib/server/websearch/embed/combine.ts | import type { EmbeddingBackendModel } from "$lib/server/embeddingModels";
import { getSentenceSimilarity } from "$lib/server/sentenceSimilarity";
/**
* Combines sentences together to reach the maximum character limit of the embedding model
* Improves performance considerably when using CPU embedding
*/
export async... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/files/uploadFile.ts | import type { Conversation } from "$lib/types/Conversation";
import type { MessageFile } from "$lib/types/Message";
import { sha256 } from "$lib/utils/sha256";
import { fileTypeFromBuffer } from "file-type";
import { collections } from "$lib/server/database";
export async function uploadFile(file: File, conv: Conversa... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/files/downloadFile.ts | import { error } from "@sveltejs/kit";
import { collections } from "$lib/server/database";
import type { Conversation } from "$lib/types/Conversation";
import type { SharedConversation } from "$lib/types/SharedConversation";
import type { MessageFile } from "$lib/types/Message";
export async function downloadFile(
sh... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/tools/directlyAnswer.ts | import type { ConfigTool } from "$lib/types/Tool";
import { ObjectId } from "mongodb";
const directlyAnswer: ConfigTool = {
_id: new ObjectId("00000000000000000000000D"),
type: "config",
description: "Answer the user's query directly",
color: "blue",
icon: "chat",
displayName: "Directly Answer",
isOnByDefault: ... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/tools/index.ts | import { MessageUpdateType } from "$lib/types/MessageUpdate";
import {
ToolColor,
ToolIcon,
ToolOutputComponents,
type BackendCall,
type BaseTool,
type ConfigTool,
type ToolInput,
} from "$lib/types/Tool";
import type { TextGenerationContext } from "../textGeneration/types";
import { z } from "zod";
import JSON... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/tools/calculator.ts | import type { ConfigTool } from "$lib/types/Tool";
import { ObjectId } from "mongodb";
import vm from "node:vm";
const calculator: ConfigTool = {
_id: new ObjectId("00000000000000000000000C"),
type: "config",
description: "Calculate the result of a mathematical expression",
color: "blue",
icon: "code",
displayNa... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/tools/utils.ts | import { env } from "$env/dynamic/private";
import { Client } from "@gradio/client";
import { SignJWT } from "jose";
import JSON5 from "json5";
import {
MessageToolUpdateType,
MessageUpdateType,
type MessageToolUpdate,
} from "$lib/types/MessageUpdate";
import { logger } from "$lib/server/logger";
export async funct... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/tools/outputs.ts | import type { ToolIOType, ToolOutputComponents } from "$lib/types/Tool";
export const ToolOutputPaths: Record<
ToolOutputComponents,
{
type: ToolIOType;
path: string;
}
> = {
textbox: {
type: "str",
path: "$",
},
markdown: {
type: "str",
path: "$",
},
number: {
type: "float",
path: "$",
},
im... |
0 | hf_public_repos/chat-ui/src/lib/server/tools | hf_public_repos/chat-ui/src/lib/server/tools/web/url.ts | import { stringifyMarkdownElementTree } from "$lib/server/websearch/markdown/utils/stringify";
import { scrapeUrl } from "$lib/server/websearch/scrape/scrape";
import type { ConfigTool } from "$lib/types/Tool";
import { ObjectId } from "mongodb";
const fetchUrl: ConfigTool = {
_id: new ObjectId("000000000000000000000... |
0 | hf_public_repos/chat-ui/src/lib/server/tools | hf_public_repos/chat-ui/src/lib/server/tools/web/search.ts | import type { ConfigTool } from "$lib/types/Tool";
import { ObjectId } from "mongodb";
import { runWebSearch } from "../../websearch/runWebSearch";
const websearch: ConfigTool = {
_id: new ObjectId("00000000000000000000000A"),
type: "config",
description: "Search the web for answers to the user's query",
color: "b... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/textGeneration/tools.ts | import { ToolResultStatus, type ToolCall, type Tool, type ToolResult } from "$lib/types/Tool";
import { v4 as uuidV4 } from "uuid";
import { getCallMethod, toolFromConfigs, type BackendToolContext } from "../tools";
import {
MessageToolUpdateType,
MessageUpdateStatus,
MessageUpdateType,
type MessageUpdate,
} from "... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/textGeneration/assistant.ts | import { isURLLocal } from "../isURLLocal";
import { env } from "$env/dynamic/private";
import { collections } from "$lib/server/database";
import type { Assistant } from "$lib/types/Assistant";
import type { ObjectId } from "mongodb";
export async function processPreprompt(preprompt: string) {
const urlRegex = /{{\s... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/textGeneration/generate.ts | import type { ToolResult } from "$lib/types/Tool";
import {
MessageReasoningUpdateType,
MessageUpdateType,
type MessageUpdate,
} from "$lib/types/MessageUpdate";
import { AbortedGenerations } from "../abortedGenerations";
import type { TextGenerationContext } from "./types";
import type { EndpointMessage } from "../... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/textGeneration/types.ts | import type { ProcessedModel } from "../models";
import type { Endpoint } from "../endpoints/endpoints";
import type { Conversation } from "$lib/types/Conversation";
import type { Message } from "$lib/types/Message";
import type { Assistant } from "$lib/types/Assistant";
export interface TextGenerationContext {
model... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/textGeneration/reasoning.ts | import { generateFromDefaultEndpoint } from "../generateFromDefaultEndpoint";
import { getReturnFromGenerator } from "$lib/utils/getReturnFromGenerator";
export async function generateSummaryOfReasoning(buffer: string): Promise<string> {
// debug 5s delay
await new Promise((resolve) => setTimeout(resolve, 3000));
... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/textGeneration/title.ts | import { env } from "$env/dynamic/private";
import { generateFromDefaultEndpoint } from "$lib/server/generateFromDefaultEndpoint";
import type { EndpointMessage } from "../endpoints/endpoints";
import { logger } from "$lib/server/logger";
import { MessageUpdateType, type MessageUpdate } from "$lib/types/MessageUpdate";... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/textGeneration/index.ts | import { runWebSearch } from "$lib/server/websearch/runWebSearch";
import { preprocessMessages } from "../endpoints/preprocessMessages";
import { generateTitleForConversation } from "./title";
import {
assistantHasDynamicPrompt,
assistantHasWebSearch,
getAssistantById,
processPreprompt,
} from "./assistant";
impor... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/endpoints/preprocessMessages.ts | import type { Message } from "$lib/types/Message";
import { format } from "date-fns";
import type { EndpointMessage } from "./endpoints";
import { downloadFile } from "../files/downloadFile";
import type { ObjectId } from "mongodb";
export async function preprocessMessages(
messages: Message[],
webSearch: Message["w... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/endpoints/document.ts | import type { MessageFile } from "$lib/types/Message";
import { z } from "zod";
export interface FileProcessorOptions<TMimeType extends string = string> {
supportedMimeTypes: TMimeType[];
maxSizeInMB: number;
}
export type ImageProcessor<TMimeType extends string = string> = (file: MessageFile) => Promise<{
file: B... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/endpoints/endpoints.ts | import type { Conversation } from "$lib/types/Conversation";
import type { Message } from "$lib/types/Message";
import type { TextGenerationStreamOutput, TextGenerationStreamToken } from "@huggingface/inference";
import { endpointTgi, endpointTgiParametersSchema } from "./tgi/endpointTgi";
import { z } from "zod";
impo... |
0 | hf_public_repos/chat-ui/src/lib/server | hf_public_repos/chat-ui/src/lib/server/endpoints/images.ts | import type { Sharp } from "sharp";
import sharp from "sharp";
import type { MessageFile } from "$lib/types/Message";
import { z, type util } from "zod";
export interface ImageProcessorOptions<TMimeType extends string = string> {
supportedMimeTypes: TMimeType[];
preferredMimeType: TMimeType;
maxSizeInMB: number;
m... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/anthropic/endpointAnthropicVertex.ts | import { z } from "zod";
import type { Endpoint } from "../endpoints";
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import { createImageProcessorOptionsValidator } from "../images";
import { endpointMessagesToAnthropicMessages } from "./utils";
import type { MessageParam } from "@anthropic-... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/anthropic/utils.ts | import { makeImageProcessor, type ImageProcessorOptions } from "../images";
import { makeDocumentProcessor, type FileProcessorOptions } from "../document";
import type { EndpointMessage } from "../endpoints";
import type { MessageFile } from "$lib/types/Message";
import type {
BetaImageBlockParam,
BetaMessageParam,
... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/anthropic/endpointAnthropic.ts | import { z } from "zod";
import type { Endpoint } from "../endpoints";
import { env } from "$env/dynamic/private";
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import { createImageProcessorOptionsValidator } from "../images";
import { endpointMessagesToAnthropicMessages } from "./utils";
im... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/aws/endpointBedrock.ts | import { z } from "zod";
import type { Endpoint } from "../endpoints";
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import { createImageProcessorOptionsValidator, makeImageProcessor } from "../images";
import type { EndpointMessage } from "../endpoints";
import type { MessageFile } from "$l... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/aws/endpointAws.ts | import { buildPrompt } from "$lib/buildPrompt";
import { textGenerationStream } from "@huggingface/inference";
import { z } from "zod";
import type { Endpoint } from "../endpoints";
export const endpointAwsParametersSchema = z.object({
weight: z.number().int().positive().default(1),
model: z.any(),
type: z.literal(... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/openai/endpointOai.ts | import { z } from "zod";
import { openAICompletionToTextGenerationStream } from "./openAICompletionToTextGenerationStream";
import { openAIChatToTextGenerationStream } from "./openAIChatToTextGenerationStream";
import type { CompletionCreateParamsStreaming } from "openai/resources/completions";
import type {
ChatCompl... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/openai/openAIChatToTextGenerationStream.ts | import type { TextGenerationStreamOutput } from "@huggingface/inference";
import type OpenAI from "openai";
import type { Stream } from "openai/streaming";
import type { ToolCall } from "$lib/types/Tool";
type ToolCallWithParameters = {
toolCall: ToolCall;
parameterJsonString: string;
};
function prepareToolCalls(t... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/openai/openAICompletionToTextGenerationStream.ts | import type { TextGenerationStreamOutput } from "@huggingface/inference";
import type OpenAI from "openai";
import type { Stream } from "openai/streaming";
/**
* Transform a stream of OpenAI.Completions.Completion into a stream of TextGenerationStreamOutput
*/
export async function* openAICompletionToTextGenerationS... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/cohere/endpointCohere.ts | import { z } from "zod";
import { env } from "$env/dynamic/private";
import type { Endpoint } from "../endpoints";
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import type { Cohere, CohereClient } from "cohere-ai";
import { buildPrompt } from "$lib/buildPrompt";
import { ToolResultStatus, t... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/ollama/endpointOllama.ts | import { buildPrompt } from "$lib/buildPrompt";
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import type { Endpoint } from "../endpoints";
import { z } from "zod";
export const endpointOllamaParametersSchema = z.object({
weight: z.number().int().positive().default(1),
model: z.any(),
ty... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/google/endpointVertex.ts | import {
VertexAI,
HarmCategory,
HarmBlockThreshold,
type Content,
type TextPart,
} from "@google-cloud/vertexai";
import type { Endpoint, TextGenerationStreamOutputWithToolsAndWebSources } from "../endpoints";
import { z } from "zod";
import type { Message } from "$lib/types/Message";
import { createImageProcesso... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/google/endpointGenAI.ts | import { GoogleGenerativeAI, HarmBlockThreshold, HarmCategory } from "@google/generative-ai";
import type { Content, Part, SafetySetting, TextPart } from "@google/generative-ai";
import { z } from "zod";
import type { Message, MessageFile } from "$lib/types/Message";
import type { TextGenerationStreamOutput } from "@hu... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/tgi/endpointTgi.ts | import { env } from "$env/dynamic/private";
import { buildPrompt } from "$lib/buildPrompt";
import { textGenerationStream } from "@huggingface/inference";
import type { Endpoint, EndpointMessage } from "../endpoints";
import { z } from "zod";
import {
createImageProcessorOptionsValidator,
makeImageProcessor,
type Im... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/cloudflare/endpointCloudflare.ts | import { z } from "zod";
import type { Endpoint } from "../endpoints";
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import { env } from "$env/dynamic/private";
import { logger } from "$lib/server/logger";
export const endpointCloudflareParametersSchema = z.object({
weight: z.number().int(... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/llamacpp/endpointLlamacpp.ts | import { env } from "$env/dynamic/private";
import { buildPrompt } from "$lib/buildPrompt";
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import type { Endpoint } from "../endpoints";
import { z } from "zod";
import { logger } from "$lib/server/logger";
export const endpointLlamacppParamete... |
0 | hf_public_repos/chat-ui/src/lib/server/endpoints | hf_public_repos/chat-ui/src/lib/server/endpoints/langserve/endpointLangserve.ts | import { buildPrompt } from "$lib/buildPrompt";
import { z } from "zod";
import type { Endpoint } from "../endpoints";
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import { logger } from "$lib/server/logger";
export const endpointLangserveParametersSchema = z.object({
weight: z.number().i... |
0 | hf_public_repos/chat-ui/static | hf_public_repos/chat-ui/static/chatui/logo.svg | <svg xmlns="http://www.w3.org/2000/svg" width="32" height="32" fill="none">
<path
fill="#2063EC"
d="M4 15.55C4 9.72 8.72 5 14.55 5h4.11a9.34 9.34 0 1 1 0 18.68H7.58l-2.89 2.8a.41.41 0 0 1-.69-.3V15.55Z"
/>
</svg>
|
0 | hf_public_repos/chat-ui/static | hf_public_repos/chat-ui/static/chatui/icon.svg | <svg width="32" height="32" viewBox="0 0 32 32" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M1 16.7844C1 8.61919 7.61919 2 15.7844 2L17.1989 2C24.4238 2 30.2808 7.85698 30.2808 15.0819C30.2808 22.3069 24.4238 28.1638 17.1989 28.1638L6.01658 28.1638L2.06037 30.1846C2.00283 30.214 1.95147 30.254 1.89847 30.2... |
0 | hf_public_repos/chat-ui/static | hf_public_repos/chat-ui/static/chatui/favicon.svg | <svg width="32" height="32" viewBox="0 0 32 32" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M1 16.7844C1 8.61919 7.61919 2 15.7844 2L17.1989 2C24.4238 2 30.2808 7.85698 30.2808 15.0819C30.2808 22.3069 24.4238 28.1638 17.1989 28.1638L6.01658 28.1638L2.06037 30.1846C2.00283 30.214 1.95147 30.254 1.89847 30.2... |
0 | hf_public_repos/chat-ui/static | hf_public_repos/chat-ui/static/chatui/manifest.json | {
"background_color": "#ffffff",
"name": "Chat UI",
"short_name": "Chat UI",
"display": "standalone",
"start_url": "/",
"icons": [
{
"src": "/chatui/icon-128x128.png",
"sizes": "128x128",
"type": "image/png"
},
{
"src": "/chatui/icon-256x256.png",
"sizes": "256x256",
"type": "image/png"
... |
0 | hf_public_repos/chat-ui/static | hf_public_repos/chat-ui/static/huggingchat/logo.svg | <svg xmlns="http://www.w3.org/2000/svg" width="32" height="32" fill="none">
<path
fill="#FFD21E"
d="M4 15.55C4 9.72 8.72 5 14.55 5h4.11a9.34 9.34 0 1 1 0 18.68H7.58l-2.89 2.8a.41.41 0 0 1-.69-.3V15.55Z"
/>
<path
fill="#32343D"
d="M19.63 12.48c.37.14.52.9.9.7.71-.38.98-1.27.6-1.98a1.46 1.46 0 0 0-1.98-.61 1.4... |
0 | hf_public_repos/chat-ui/static | hf_public_repos/chat-ui/static/huggingchat/icon.svg | <svg width="32" height="32" viewBox="0 0 32 32" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M1 16.7844C1 8.61919 7.61919 2 15.7844 2L17.1989 2C24.4238 2 30.2808 7.85698 30.2808 15.0819C30.2808 22.3069 24.4238 28.1638 17.1989 28.1638L6.01658 28.1638L2.06037 30.1846C2.00283 30.214 1.95147 30.254 1.89847 30.2... |
0 | hf_public_repos/chat-ui/static | hf_public_repos/chat-ui/static/huggingchat/favicon.svg | <svg width="32" height="32" viewBox="0 0 32 32" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M1 16.7844C1 8.61919 7.61919 2 15.7844 2L17.1989 2C24.4238 2 30.2808 7.85698 30.2808 15.0819C30.2808 22.3069 24.4238 28.1638 17.1989 28.1638L6.01658 28.1638L2.06037 30.1846C2.00283 30.214 1.95147 30.254 1.89847 30.2... |
0 | hf_public_repos/chat-ui/static | hf_public_repos/chat-ui/static/huggingchat/manifest.json | {
"background_color": "#ffffff",
"name": "HuggingChat",
"short_name": "HuggingChat",
"display": "standalone",
"start_url": "/chat",
"icons": [
{
"src": "/chat/huggingchat/icon-36x36.png",
"sizes": "36x36",
"type": "image/png"
},
{
"src": "/chat/huggingchat/icon-48x48.png",
"sizes": "48x48",
... |
0 | hf_public_repos/chat-ui | hf_public_repos/chat-ui/.vscode/launch.json | {
"version": "0.2.0",
"configurations": [
{
"command": "npm run dev",
"name": "Run development server",
"request": "launch",
"type": "node-terminal"
}
]
}
|
0 | hf_public_repos/chat-ui | hf_public_repos/chat-ui/.vscode/settings.json | {
"editor.formatOnSave": true,
"editor.defaultFormatter": "esbenp.prettier-vscode",
"editor.codeActionsOnSave": {
"source.fixAll": "explicit"
},
"eslint.validate": ["javascript", "svelte"],
"[svelte]": {
"editor.defaultFormatter": "esbenp.prettier-vscode"
}
}
|
0 | hf_public_repos/chat-ui | hf_public_repos/chat-ui/scripts/updateLocalEnv.ts | import fs from "fs";
import yaml from "js-yaml";
const file = fs.readFileSync("chart/env/prod.yaml", "utf8");
// have to do a weird stringify/parse because of some node error
const prod = JSON.parse(JSON.stringify(yaml.load(file)));
const vars = prod.envVars as Record<string, string>;
let PUBLIC_CONFIG = "";
Object.... |
0 | hf_public_repos/chat-ui | hf_public_repos/chat-ui/scripts/setupTest.ts | import { vi, afterAll } from "vitest";
import dotenv from "dotenv";
import { resolve } from "path";
import fs from "fs";
import { MongoMemoryServer } from "mongodb-memory-server";
let mongoServer: MongoMemoryServer;
// Load the .env file
const envPath = resolve(__dirname, "../.env");
dotenv.config({ path: envPath });
... |
0 | hf_public_repos/chat-ui | hf_public_repos/chat-ui/scripts/populate.ts | import readline from "readline";
import minimist from "minimist";
// @ts-expect-error: vite-node makes the var available but the typescript compiler doesn't see them
import { env } from "$env/dynamic/private";
import { faker } from "@faker-js/faker";
import { ObjectId } from "mongodb";
// @ts-expect-error: vite-node... |
0 | hf_public_repos | hf_public_repos/api-inference-community/setup.cfg | [isort]
default_section = FIRSTPARTY
ensure_newline_before_comments = True
force_grid_wrap = 0
line_length = 88
include_trailing_comma = True
known_first_party = main
lines_after_imports = 2
multi_line_output = 3
use_parentheses = True
[flake8]
ignore = E203, E501, E741, W503, W605
max-line-length = 88
per-file-ignore... |
0 | hf_public_repos | hf_public_repos/api-inference-community/setup.py | from setuptools import setup
setup(
name="api_inference_community",
version="0.0.36",
description="A package with helper tools to build an API Inference docker app for Hugging Face API inference using huggingface_hub",
long_description=open("README.md", "r", encoding="utf-8").read(),
long_descript... |
0 | hf_public_repos | hf_public_repos/api-inference-community/Makefile | .PHONY: quality style
check_dirs := api_inference_community tests docker_images
quality:
black --check $(check_dirs)
isort --check-only $(check_dirs)
flake8 $(check_dirs)
style:
black $(check_dirs)
isort $(check_dirs)
test:
pytest -sv --log-level=DEBUG tests/
|
0 | hf_public_repos | hf_public_repos/api-inference-community/LICENSE | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
... |
0 | hf_public_repos | hf_public_repos/api-inference-community/requirements.txt | starlette>=0.14.2
numpy>=1.18.0
pydantic>=2
parameterized>=0.8.1
pillow>=8.2.0
huggingface_hub>=0.20.2
datasets>=2.2
psutil>=6.0.0
pytest
httpx
uvicorn
black
isort
flake8
|
0 | hf_public_repos | hf_public_repos/api-inference-community/MANIFEST.in | include README.md requirements.txt
|
0 | hf_public_repos | hf_public_repos/api-inference-community/README.md |
This repositories enable third-party libraries integrated with [huggingface_hub](https://github.com/huggingface/huggingface_hub/) to create
their own docker so that the widgets on the hub can work as the `transformers` one do.
The hardware to run the API will be provided by Hugging Face for now.
The `docker_images/c... |
0 | hf_public_repos | hf_public_repos/api-inference-community/build_docker.py | #!/usr/bin/env python
import argparse
import os
import subprocess
import sys
import uuid
def run(command):
print(" ".join(command))
p = subprocess.run(command)
if p.returncode != 0:
sys.exit(p.returncode)
def build(framework: str, is_gpu: bool):
DEFAULT_HOSTNAME = os.getenv("DEFAULT_HOSTNAME... |
0 | hf_public_repos | hf_public_repos/api-inference-community/manage.py | #!/usr/bin/env python
import argparse
import ast
import hashlib
import os
import subprocess
import sys
import uuid
from huggingface_hub import HfApi
class cd:
"""Context manager for changing the current working directory"""
def __init__(self, newPath):
self.newPath = os.path.expanduser(newPath)
... |
0 | hf_public_repos | hf_public_repos/api-inference-community/.pre-commit-config.yaml | repos:
- repo: https://github.com/psf/black
rev: 22.3.0
hooks:
- id: black
- repo: https://github.com/PyCQA/flake8
rev: 5.0.4
hooks:
- id: flake8
- repo: https://github.com/pre-commit/mirrors-isort
rev: v5.7.0 # Use the revision sha / tag you want to point at
hooks:
- id... |
0 | hf_public_repos | hf_public_repos/api-inference-community/build.sh | pip install -U pip build twine
python -m build
python -m twine upload dist/*
|
0 | hf_public_repos/api-inference-community | hf_public_repos/api-inference-community/api_inference_community/normalizers.py | """
Helper classes to modify pipeline outputs from tensors to expected pipeline output
"""
from typing import TYPE_CHECKING, Dict, List, Union
Classes = Dict[str, Union[str, float]]
if TYPE_CHECKING:
try:
import torch
except Exception:
pass
def speaker_diarization_normalize(
tensor: "t... |
0 | hf_public_repos/api-inference-community | hf_public_repos/api-inference-community/api_inference_community/hub.py | import json
import logging
import os
import pathlib
import re
from typing import List, Optional
from huggingface_hub import ModelCard, constants, hf_api, try_to_load_from_cache
from huggingface_hub.file_download import repo_folder_name
logger = logging.getLogger(__name__)
def _cached_repo_root_path(cache_dir: path... |
0 | hf_public_repos/api-inference-community | hf_public_repos/api-inference-community/api_inference_community/routes.py | import base64
import io
import ipaddress
import logging
import os
import time
from typing import Any, Dict
import psutil
from api_inference_community.validation import (
AUDIO,
AUDIO_INPUTS,
IMAGE,
IMAGE_INPUTS,
IMAGE_OUTPUTS,
KNOWN_TASKS,
ffmpeg_convert,
normalize_payload,
parse_ac... |
0 | hf_public_repos/api-inference-community | hf_public_repos/api-inference-community/api_inference_community/validation.py | import json
import os
import subprocess
from base64 import b64decode
from io import BytesIO
from typing import Any, Dict, List, Optional, Tuple, Union
import annotated_types
import numpy as np
from pydantic import BaseModel, RootModel, Strict, field_validator
from typing_extensions import Annotated
MinLength = Annot... |
0 | hf_public_repos/api-inference-community | hf_public_repos/api-inference-community/tests/test_hub.py | import logging
import sys
from unittest import TestCase
from api_inference_community import hub
from huggingface_hub import constants, hf_api, snapshot_download
logger = logging.getLogger(__name__)
logger.level = logging.DEBUG
stream_handler = logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
cla... |
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