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Merge pull request #4598 from michaelpoluektov/cleanup-frontend

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refactor: Remove unused frontend functions migrated to backend
This commit is contained in:
Timothy Jaeryang Baek 2024-08-14 16:13:39 +02:00 committed by GitHub
commit 0b218bbb72
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2 changed files with 0 additions and 175 deletions
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50
src/lib/apis/ollama/index.ts
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@ -1,5 +1,4 @@
import { OLLAMA_API_BASE_URL } from '$lib/constants';
import { titleGenerationTemplate } from '$lib/utils';
export const getOllamaConfig = async (token: string = '') => {
let error = null;
@ -203,55 +202,6 @@ export const getOllamaModels = async (token: string = '') => {
});
};
// TODO: migrate to backend
export const generateTitle = async (
token: string = '',
template: string,
model: string,
prompt: string
) => {
let error = null;
template = titleGenerationTemplate(template, prompt);
console.log(template);
const res = await fetch(`${OLLAMA_API_BASE_URL}/api/generate`, {
method: 'POST',
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
Authorization: `Bearer ${token}`
},
body: JSON.stringify({
model: model,
prompt: template,
stream: false,
options: {
// Restrict the number of tokens generated to 50
num_predict: 50
}
})
})
.then(async (res) => {
if (!res.ok) throw await res.json();
return res.json();
})
.catch((err) => {
console.log(err);
if ('detail' in err) {
error = err.detail;
}
return null;
});
if (error) {
throw error;
}
return res?.response.replace(/["']/g, '') ?? 'New Chat';
};
export const generatePrompt = async (token: string = '', model: string, conversation: string) => {
let error = null;

125
src/lib/apis/openai/index.ts
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@ -1,6 +1,4 @@
import { OPENAI_API_BASE_URL } from '$lib/constants';
import { titleGenerationTemplate } from '$lib/utils';
import { type Model, models, settings } from '$lib/stores';
export const getOpenAIConfig = async (token: string = '') => {
let error = null;
@ -330,126 +328,3 @@ export const synthesizeOpenAISpeech = async (
return res;
};
export const generateTitle = async (
token: string = '',
template: string,
model: string,
prompt: string,
chat_id?: string,
url: string = OPENAI_API_BASE_URL
) => {
let error = null;
template = titleGenerationTemplate(template, prompt);
console.log(template);
const res = await fetch(`${url}/chat/completions`, {
method: 'POST',
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
Authorization: `Bearer ${token}`
},
body: JSON.stringify({
model: model,
messages: [
{
role: 'user',
content: template
}
],
stream: false,
// Restricting the max tokens to 50 to avoid long titles
max_tokens: 50,
...(chat_id && { chat_id: chat_id }),
title: true
})
})
.then(async (res) => {
if (!res.ok) throw await res.json();
return res.json();
})
.catch((err) => {
console.log(err);
if ('detail' in err) {
error = err.detail;
}
return null;
});
if (error) {
throw error;
}
return res?.choices[0]?.message?.content.replace(/["']/g, '') ?? 'New Chat';
};
export const generateSearchQuery = async (
token: string = '',
model: string,
previousMessages: string[],
prompt: string,
url: string = OPENAI_API_BASE_URL
): Promise<string | undefined> => {
let error = null;
// TODO: Allow users to specify the prompt
// Get the current date in the format "January 20, 2024"
const currentDate = new Intl.DateTimeFormat('en-US', {
year: 'numeric',
month: 'long',
day: '2-digit'
}).format(new Date());
const res = await fetch(`${url}/chat/completions`, {
method: 'POST',
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
Authorization: `Bearer ${token}`
},
body: JSON.stringify({
model: model,
// Few shot prompting
messages: [
{
role: 'assistant',
content: `You are tasked with generating web search queries. Give me an appropriate query to answer my question for google search. Answer with only the query. Today is ${currentDate}.`
},
{
role: 'user',
content: prompt
}
// {
// role: 'user',
// content:
// (previousMessages.length > 0
// ? `Previous Questions:\n${previousMessages.join('\n')}\n\n`
// : '') + `Current Question: ${prompt}`
// }
],
stream: false,
// Restricting the max tokens to 30 to avoid long search queries
max_tokens: 30
})
})
.then(async (res) => {
if (!res.ok) throw await res.json();
return res.json();
})
.catch((err) => {
console.log(err);
if ('detail' in err) {
error = err.detail;
}
return undefined;
});
if (error) {
throw error;
}
return res?.choices[0]?.message?.content.replace(/["']/g, '') ?? undefined;
};