Now with basic AI summary for Journal Entries
This commit is contained in:
@@ -4,15 +4,16 @@ import { goto } from '$app/navigation';
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// import { tick } from 'svelte';
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import { marked } from 'marked';
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import { Modal } from 'flowbite-svelte';
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import {
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ArrowDown01, ArrowDown10, ArrowDownUp,
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BookHeart, BriefcaseBusiness,
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BookHeart, Bot, BotMessageSquare, BriefcaseBusiness,
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CalendarClock, CalendarOff, Clock, CodeXml, Copy,
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Eye, EyeOff,
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Flag, FlagOff, FileDown, FileX, Fingerprint,
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Globe, Group,
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Hash, History,
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LockKeyhole, LockKeyholeOpen,
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Loader, LockKeyhole, LockKeyholeOpen,
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MessageSquareWarning, Menu, Minus,
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NotebookPen, NotebookText, NotepadTextDashed,
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Pencil, PenLine, Plus,
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@@ -26,6 +27,26 @@ import {
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} from '@lucide/svelte';
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// Import OpenAI, but use it with local LLM server (ollama)
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import OpenAI from "openai";
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// import { Configuration, OpenAIApi } from 'openai';
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let llm_api_token = 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6IjVhYjI2MzdlLThiMjktNGM2Zi05MzVhLWFkYjU1MDkwMGU5MCJ9.zc2u8vVH1yNt_mDHF8m9f_ONHfRXHjjC9gb-Y9jYwI0';
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// api_model = 'DgrZone DeepSeek (8b quick)';
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let llm_api_model = 'dgrzone-deepseek-8b-quick';
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let llm_api_base_url = 'http://localhost:3000/api';
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// const configuration = new Configuration({
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// apiKey: llm_api_token,
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// });
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// const openai = new OpenAI({
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// apiKey: llm_api_token,
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// baseURL: llm_api_base_url,
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// });
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// import E_app_codemirror from '$lib/e_app_codemirror.svelte';
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// import E_app_codemirror_v4 from '$lib/e_app_codemirror_v4.svelte';
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import E_app_codemirror_v5 from '$lib/e_app_codemirror_v5.svelte';
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@@ -1668,6 +1689,98 @@ $effect(() => {
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</div>
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{/if}
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<!-- Button to call OpenAI API endpoint to summarize the content. -->
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<div
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class="
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flex flex-row-reverse flex-wrap gap-1 items-center justify-center
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"
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>
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<button
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type="button"
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onclick={async () => {
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const ai_client = new OpenAI({
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apiKey: llm_api_token,
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baseURL: llm_api_base_url,
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dangerouslyAllowBrowser: true,
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});
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// let resp__models = ai_client.models.list();
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// console.log('AI API Response (models)', resp__models);
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let msg_role_system_content = $journals_loc?.entry?.ai__system_prompt || 'You are a helpful assistant that helps people find information.';
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// let msg_role_user_content = 'Why is the sky blue?';
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let msg_role_user_content = tmp_entry_obj?.content;
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try {
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ae_promises = ai_client.chat.completions.create(
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{
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model: llm_api_model,
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messages: [
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{ role: 'system', content: msg_role_system_content },
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{ role: "user", content: msg_role_user_content }
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],
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// max_tokens: 512,
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// temperature: 0.7,
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// stream: true,
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}
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)
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.then ((resp__chat) => {
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console.log('AI API Response (chat)', resp__chat);
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console.log('AI API Response (chat)', resp__chat);
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console.log('resp msg 0 = ', resp__chat?.choices?.[0]?.message?.content);
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$journals_sess.entry.ai_summary = resp__chat?.choices?.[0]?.message?.content || 'No summary available';
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$journals_sess.entry.show__ai_summary = true;
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return;
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});
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} catch (err) {
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console.error('Error from chat completion:', err);
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alert('Error from chat completion: ' + (err?.message || err));
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}
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}}
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class="
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btn btn-sm
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preset-outlined-warning-200-800
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"
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title="Generate AI summary of this journal entry"
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>
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{#await ae_promises}
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<Loader class="inline-block mr-1 animate-spin" />
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<span class="text-sm">Summarizing...</span>
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{:then}
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<BotMessageSquare class="inline-block mr-1" />
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<span class="text-sm">Summarize</span>
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{:catch error}
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<span class="text-sm">Error</span>
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{/await}
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</button>
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{#if !$journals_sess?.entry?.show__ai_summary && $journals_sess?.entry?.ai_summary}
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<button
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type="button"
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onclick={() => {
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$journals_sess.entry.show__ai_summary = true;
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}}
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class="
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btn btn-sm
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preset-outlined-warning-200-800
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"
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title="Show AI summary of this journal entry"
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>
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<Bot class="inline-block mr-1" />
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<span class="text-sm">
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Show</span>
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</button>
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{/if}
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</div>
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<div class="divider my-2"></div>
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<!-- Core Object Properties -->
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@@ -1971,6 +2084,92 @@ tabindex={$ae_loc.edit_mode ? 0 : -1} -->
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class:bg-yellow-50={$journals_loc.entry.edit_kv[$lq__journal_entry_obj?.journal_entry_id] == 'current'}
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class:dark:bg-yellow-950={$journals_loc.entry.edit_kv[$lq__journal_entry_obj?.journal_entry_id] == 'current'}
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>
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{#if $journals_sess?.entry?.ai_summary}
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<button
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type="button"
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onclick={() => {
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$journals_sess.entry.show__ai_summary = !$journals_sess.entry.show__ai_summary;
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}}
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class="btn btn-sm preset-tonal-primary hover:preset-filled-primary-500 transition-all absolute top-2 right-2 z-10"
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title="Toggle AI Summary"
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>
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<Bot class="inline-block mr-1" />
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<span class="hidden sm:inline">AI Summary</span>
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{#if $journals_sess?.entry?.ai_summary}
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<span class="badge badge-sm badge-secondary ml-1">
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{$journals_sess?.entry?.ai_summary.split(' ').length} words
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</span>
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{/if}
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</button>
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{:else}
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<button
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type="button"
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onclick={() => {
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const ai_client = new OpenAI({
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apiKey: llm_api_token,
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baseURL: llm_api_base_url,
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dangerouslyAllowBrowser: true,
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});
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// let resp__models = ai_client.models.list();
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// console.log('AI API Response (models)', resp__models);
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let msg_role_system_content = $journals_loc?.entry?.ai__system_prompt || 'You are a helpful assistant that helps people find information.';
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// let msg_role_user_content = 'Why is the sky blue?';
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let msg_role_user_content = tmp_entry_obj?.content;
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try {
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ae_promises = ai_client.chat.completions.create(
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{
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model: llm_api_model,
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messages: [
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{ role: 'system', content: msg_role_system_content },
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{ role: "user", content: msg_role_user_content }
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],
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// max_tokens: 512,
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// temperature: 0.7,
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// stream: true,
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}
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)
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.then ((resp__chat) => {
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console.log('AI API Response (chat)', resp__chat);
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console.log('AI API Response (chat)', resp__chat);
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console.log('resp msg 0 = ', resp__chat?.choices?.[0]?.message?.content);
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$journals_sess.entry.ai_summary = resp__chat?.choices?.[0]?.message?.content || 'No summary available';
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$journals_sess.entry.show__ai_summary = true;
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return;
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});
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} catch (err) {
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console.error('Error from chat completion:', err);
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alert('Error from chat completion: ' + (err?.message || err));
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}
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}}
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class="btn btn-sm preset-tonal-primary hover:preset-filled-primary-500 transition-all absolute top-2 right-2 z-10"
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title="Generate AI summary of this journal entry"
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>
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{#await ae_promises}
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<Loader class="inline-block mr-1 animate-spin" />
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<span class="text-sm">Summarizing...</span>
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{:then}
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<BotMessageSquare class="inline-block mr-1" />
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<span class="text-sm">Summarize</span>
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{:catch error}
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<span class="text-sm">Error</span>
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{/await}
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</button>
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{/if}
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{#if (!$journals_loc.entry.edit_kv[$lq__journal_entry_obj?.journal_entry_id])}
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{#if $lq__journal_obj?.cfg_json?.pref_viewer == 'codemirror'}
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@@ -2473,9 +2672,58 @@ zzzz
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{/if}
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</span>
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</section>
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{#if $journals_sess?.entry?.show__ai_summary && $journals_sess?.entry?.ai_summary}
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<Modal
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title="AI Summary"
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bind:open={$journals_sess.entry.show__ai_summary}
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autoclose={false}
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placement="top-center"
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size="md"
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class="top-center bg-white dark:bg-gray-800 text-gray-800 dark:text-gray-200 rounded-lg border-gray-200 dark:border-gray-700 divide-gray-200 dark:divide-gray-700 shadow-md relative mx-auto w-full divide-y"
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>
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<div class="modal-box flex flex-col gap-2 items-center justify-center">
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<button
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type="button"
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onclick={() => {
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$journals_sess.entry.show__ai_summary = !$journals_sess.entry.show__ai_summary;
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}}
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class="btn btn-sm preset-tonal-primary hover:preset-filled-primary-500 transition *:hover:inline"
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title="Toggle AI Summary"
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>
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<Bot class="inline-block mr-1" />
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<span class="hidden sm:inline">AI Summary</span>
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{#if $journals_sess?.entry?.ai_summary}
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<span class="badge badge-sm badge-secondary ml-1">
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{$journals_sess?.entry?.ai_summary.split(' ').length} words
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</span>
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{/if}
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</button>
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<!-- <pre class="text-wrap">
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{@html $journals_sess.entry.ai_summary}
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</pre> -->
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<E_app_codemirror_v5
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editable={false}
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readonly={true}
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content={$journals_sess.entry.ai_summary ?? ''}
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bind:new_content={$journals_sess.entry.ai_summary}
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bind:theme_mode={$ae_loc.theme_mode}
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placeholder="Write using Markdown here..."
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class="
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p-2
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preset-outlined-success-400-600
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hover:preset-tonal-surface
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shadow-lg rounded-lg
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"
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/>
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</div>
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</Modal>
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{/if}
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{:else}
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<section class="ae_meta flex flex-row flex-wrap gap-1 items-center justify-center w-full">
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<span class="text-lg text-orange-900 dark:text-orange-100">
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