270 lines
7.0 KiB
TypeScript
270 lines
7.0 KiB
TypeScript
import IconFont from '@/components/icon-font';
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import { BulbOutlined } from '@ant-design/icons';
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import { useIntl } from '@umijs/max';
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import { Button, Input, Select } from 'antd';
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import _ from 'lodash';
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import React, { useCallback, useEffect, useRef, useState } from 'react';
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import { queryHuggingfaceModels } from '../apis';
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import {
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modelFilesSortOptions,
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modelSourceMap,
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ollamaModelOptions
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} from '../config';
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import SearchStyle from '../style/search-result.less';
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import SearchInput from './search-input';
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import SearchResult from './search-result';
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interface SearchInputProps {
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modelSource: string;
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onSourceChange?: (source: string) => void;
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onSelectModel: (model: any) => void;
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}
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const sourceList = [
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{
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label: (
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<IconFont type="icon-huggingface" className="font-size-14"></IconFont>
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),
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value: 'huggingface',
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key: 'huggingface'
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},
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{
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label: <IconFont type="icon-ollama" className="font-size-14"></IconFont>,
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value: 'ollama_library',
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key: 'ollama_library'
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}
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];
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const SearchModel: React.FC<SearchInputProps> = (props) => {
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console.log('SearchModel======');
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const intl = useIntl();
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const { modelSource, onSourceChange, onSelectModel } = props;
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const [dataSource, setDataSource] = useState<{
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repoOptions: any[];
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loading: boolean;
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}>({
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repoOptions: [],
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loading: false
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});
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const [current, setCurrent] = useState<string>('');
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const [sortType, setSortType] = useState<string>('downloads');
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const cacheRepoOptions = useRef<any[]>([]);
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const axiosTokenRef = useRef<any>(null);
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const customOllamaModelRef = useRef<any>(null);
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const handleOnSelectModel = useCallback((item: any) => {
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onSelectModel(item);
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setCurrent(item.id);
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}, []);
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const handleOnSearchRepo = useCallback(
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async (text: string) => {
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axiosTokenRef.current?.abort?.();
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axiosTokenRef.current = new AbortController();
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if (dataSource.loading) return;
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try {
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setDataSource((pre) => {
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pre.loading = true;
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return { ...pre };
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});
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cacheRepoOptions.current = [];
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const params = {
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search: {
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query: text,
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tags: ['gguf']
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}
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};
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const models = await queryHuggingfaceModels(params, {
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signal: axiosTokenRef.current.signal
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});
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const list = _.map(models || [], (item: any) => {
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return {
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...item,
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value: item.name,
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label: item.name
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};
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});
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const sortedList = _.sortBy(
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list,
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(item: any) => item[sortType]
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).reverse();
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cacheRepoOptions.current = sortedList;
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setDataSource({
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repoOptions: sortedList,
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loading: false
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});
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handleOnSelectModel(sortedList[0]);
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} catch (error) {
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setDataSource({
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repoOptions: [],
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loading: false
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});
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handleOnSelectModel({});
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cacheRepoOptions.current = [];
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}
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},
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[dataSource]
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);
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const handlerSearchModels = useCallback(
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async (e: any) => {
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const text = e.target.value;
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handleOnSearchRepo(text);
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},
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[handleOnSearchRepo]
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);
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const handleOnOpen = () => {
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if (
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!dataSource.repoOptions.length &&
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!cacheRepoOptions.current.length &&
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modelSource === modelSourceMap.huggingface_value
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) {
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handleOnSearchRepo('');
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}
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if (modelSourceMap.ollama_library_value === modelSource) {
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setDataSource({
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repoOptions: ollamaModelOptions,
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loading: false
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});
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cacheRepoOptions.current = ollamaModelOptions;
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handleOnSelectModel(ollamaModelOptions[0]);
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}
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};
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const handleFilterModels = (e: any) => {
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const text = e.target.value;
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const list = _.filter(cacheRepoOptions.current, (item: any) => {
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return item.name.includes(text);
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});
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setDataSource({
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repoOptions: list,
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loading: false
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});
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};
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const debounceFilter = _.debounce((e: any) => {
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handleFilterModels(e);
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}, 300);
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const handleSourceChange = (source: string) => {
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axiosTokenRef.current?.abort?.();
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onSourceChange?.(source);
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setDataSource({
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repoOptions: [],
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loading: false
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});
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cacheRepoOptions.current = [];
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};
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const handleInputChange = (e: any) => {
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const value = e.target.value;
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customOllamaModelRef.current = value;
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};
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const handleConfirm = () => {
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const model = {
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label: customOllamaModelRef.current,
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value: customOllamaModelRef.current,
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name: customOllamaModelRef.current,
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id: ''
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};
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onSelectModel(model);
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setCurrent('');
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};
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const handleSortChange = (value: string) => {
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const sortedList = _.sortBy(
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dataSource.repoOptions,
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(item: any) => item[value]
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).reverse();
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setSortType(value);
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setDataSource({
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repoOptions: sortedList,
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loading: false
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});
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};
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const renderHFSearch = () => {
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return (
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<>
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<SearchInput onSearch={handlerSearchModels}></SearchInput>
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<div className={SearchStyle.filter}>
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<span>
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<span className="value">{dataSource.repoOptions.length}</span>
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results
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</span>
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<Select
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value={sortType}
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onChange={handleSortChange}
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labelRender={({ label }) => {
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return (
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<span>
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{intl.formatMessage({ id: 'model.deploy.sort' })}: {label}
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</span>
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);
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}}
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options={modelFilesSortOptions}
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size="middle"
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style={{ width: '150px' }}
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></Select>
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</div>
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</>
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);
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};
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const renderOllamaCustom = () => {
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return (
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<>
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<Input
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allowClear
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placeholder="Input ollama model name"
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onChange={handleInputChange}
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></Input>
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<div className={SearchStyle.filter}>
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<Button type="primary" onClick={handleConfirm}>
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{intl.formatMessage({ id: 'common.button.confirm' })}
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</Button>
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</div>
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</>
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);
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};
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useEffect(() => {
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handleOnOpen();
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console.log('SearchModel useEffect', modelSource);
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return () => {
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axiosTokenRef.current?.abort?.();
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};
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}, [modelSource]);
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return (
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<div style={{ flex: 1 }}>
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<div className={SearchStyle['search-bar']}>
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{modelSource === modelSourceMap.huggingface_value ? (
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renderHFSearch()
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) : (
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<div style={{ lineHeight: '18px' }}>
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<BulbOutlined className="font-size-14 m-r-5" />
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{intl.formatMessage(
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{ id: 'model.form.ollamatips' },
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{ name: intl.formatMessage({ id: 'model.form.ollama.model' }) }
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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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<SearchResult
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loading={dataSource.loading}
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resultList={dataSource.repoOptions}
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current={current}
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source={modelSource}
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onSelect={handleOnSelectModel}
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></SearchResult>
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}
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</div>
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);
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};
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export default React.memo(SearchModel);
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