feat: frontend file upload support

This commit is contained in:
Timothy J. Baek 2024-01-07 00:57:10 -08:00
parent 3229ec116c
commit fef4725d56
6 changed files with 223 additions and 92 deletions

View file

@ -91,7 +91,7 @@ def store_web(form_data: StoreWebForm):
loader = WebBaseLoader(form_data.url)
data = loader.load()
store_data_in_vector_db(data, form_data.collection_name)
return {"status": True}
return {"status": True, "collection_name": form_data.collection_name}
except Exception as e:
print(e)
raise HTTPException(
@ -129,7 +129,7 @@ def store_doc(collection_name: str = Form(...), file: UploadFile = File(...)):
data = loader.load()
store_data_in_vector_db(data, collection_name)
return {"status": True}
return {"status": True, "collection_name": collection_name}
except Exception as e:
print(e)
raise HTTPException(

View file

@ -11,7 +11,6 @@ export const uploadDocToVectorDB = async (token: string, collection_name: string
method: 'POST',
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
authorization: `Bearer ${token}`
},
body: data
@ -85,7 +84,6 @@ export const queryVectorDB = async (
method: 'GET',
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
authorization: `Bearer ${token}`
}
}
@ -96,7 +94,6 @@ export const queryVectorDB = async (
})
.catch((err) => {
error = err.detail;
console.log(err);
return null;
});

View file

@ -2,10 +2,11 @@
import toast from 'svelte-french-toast';
import { onMount, tick } from 'svelte';
import { settings } from '$lib/stores';
import { findWordIndices } from '$lib/utils';
import { calculateSHA256, findWordIndices } from '$lib/utils';
import Prompts from './MessageInput/PromptCommands.svelte';
import Suggestions from './MessageInput/Suggestions.svelte';
import { uploadDocToVectorDB } from '$lib/apis/rag';
export let submitPrompt: Function;
export let stopResponse: Function;
@ -98,7 +99,7 @@
dragged = true;
});
dropZone.addEventListener('drop', (e) => {
dropZone.addEventListener('drop', async (e) => {
e.preventDefault();
console.log(e);
@ -115,14 +116,30 @@
];
};
if (
e.dataTransfer?.files &&
e.dataTransfer?.files.length > 0 &&
['image/gif', 'image/jpeg', 'image/png'].includes(e.dataTransfer?.files[0]['type'])
) {
reader.readAsDataURL(e.dataTransfer?.files[0]);
if (e.dataTransfer?.files && e.dataTransfer?.files.length > 0) {
const file = e.dataTransfer?.files[0];
if (['image/gif', 'image/jpeg', 'image/png'].includes(file['type'])) {
reader.readAsDataURL(file);
} else if (['application/pdf', 'text/plain'].includes(file['type'])) {
console.log(file);
const hash = await calculateSHA256(file);
// const res = uploadDocToVectorDB(localStorage.token, hash,file);
if (true) {
files = [
...files,
{
type: 'doc',
name: file.name,
collection_name: hash
}
];
}
} else {
toast.error(`Unsupported File Type '${e.dataTransfer?.files[0]['type']}'.`);
toast.error(`Unsupported File Type '${file['type']}'.`);
}
} else {
toast.error(`File not found.`);
}
}
@ -145,11 +162,11 @@
<div class="absolute rounded-xl w-full h-full backdrop-blur bg-gray-800/40 flex justify-center">
<div class="m-auto pt-64 flex flex-col justify-center">
<div class="max-w-md">
<div class=" text-center text-6xl mb-3">🏞</div>
<div class="text-center dark:text-white text-2xl font-semibold z-50">Add Images</div>
<div class=" text-center text-6xl mb-3">🗂</div>
<div class="text-center dark:text-white text-2xl font-semibold z-50">Add Files</div>
<div class=" mt-2 text-center text-sm dark:text-gray-200 w-full">
Drop any images here to add to the conversation
Drop any files/images here to add to the conversation
</div>
</div>
</div>
@ -237,10 +254,42 @@
}}
>
{#if files.length > 0}
<div class="ml-2 mt-2 mb-1 flex space-x-2">
<div class="mx-2 mt-2 mb-1 flex flex-wrap gap-2">
{#each files as file, fileIdx}
<div class=" relative group">
{#if file.type === 'image'}
<img src={file.url} alt="input" class=" h-16 w-16 rounded-xl object-cover" />
{:else if file.type === 'doc'}
<div
class="h-16 w-[15rem] flex items-center space-x-3 px-2 bg-gray-600 rounded-xl"
>
<div class="p-2.5 bg-red-400 rounded-lg">
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
class="w-6 h-6"
>
<path
fill-rule="evenodd"
d="M5.625 1.5c-1.036 0-1.875.84-1.875 1.875v17.25c0 1.035.84 1.875 1.875 1.875h12.75c1.035 0 1.875-.84 1.875-1.875V12.75A3.75 3.75 0 0 0 16.5 9h-1.875a1.875 1.875 0 0 1-1.875-1.875V5.25A3.75 3.75 0 0 0 9 1.5H5.625ZM7.5 15a.75.75 0 0 1 .75-.75h7.5a.75.75 0 0 1 0 1.5h-7.5A.75.75 0 0 1 7.5 15Zm.75 2.25a.75.75 0 0 0 0 1.5H12a.75.75 0 0 0 0-1.5H8.25Z"
clip-rule="evenodd"
/>
<path
d="M12.971 1.816A5.23 5.23 0 0 1 14.25 5.25v1.875c0 .207.168.375.375.375H16.5a5.23 5.23 0 0 1 3.434 1.279 9.768 9.768 0 0 0-6.963-6.963Z"
/>
</svg>
</div>
<div class="flex flex-col justify-center -space-y-0.5">
<div class=" text-gray-100 text-sm line-clamp-1">
{file.name}
</div>
<div class=" text-gray-500 text-sm">Document</div>
</div>
</div>
{/if}
<div class=" absolute -top-1 -right-1">
<button

View file

@ -127,3 +127,38 @@ export const findWordIndices = (text) => {
return matches;
};
export const calculateSHA256 = async (file) => {
console.log(file);
// Create a FileReader to read the file asynchronously
const reader = new FileReader();
// Define a promise to handle the file reading
const readFile = new Promise((resolve, reject) => {
reader.onload = () => resolve(reader.result);
reader.onerror = reject;
});
// Read the file as an ArrayBuffer
reader.readAsArrayBuffer(file);
try {
// Wait for the FileReader to finish reading the file
const buffer = await readFile;
// Convert the ArrayBuffer to a Uint8Array
const uint8Array = new Uint8Array(buffer);
// Calculate the SHA-256 hash using Web Crypto API
const hashBuffer = await crypto.subtle.digest('SHA-256', uint8Array);
// Convert the hash to a hexadecimal string
const hashArray = Array.from(new Uint8Array(hashBuffer));
const hashHex = hashArray.map((byte) => byte.toString(16).padStart(2, '0')).join('');
return `sha256:${hashHex}`;
} catch (error) {
console.error('Error calculating SHA-256 hash:', error);
throw error;
}
};

View file

@ -0,0 +1,20 @@
export const RAGTemplate = (context: string, query: string) => {
let template = `Use the following context as your learned knowledge, inside <context></context> XML tags.
<context>
[context]
</context>
When answer to user:
- If you don't know, just say that you don't know.
- If you don't know when you are not sure, ask for clarification.
Avoid mentioning that you obtained the information from the context.
And answer according to the language of the user's question.
Given the context information, answer the query.
Query: [query]`;
template = template.replace(/\[context\]/g, context);
template = template.replace(/\[query\]/g, query);
return template;
};

View file

@ -7,16 +7,18 @@
import { page } from '$app/stores';
import { models, modelfiles, user, settings, chats, chatId, config } from '$lib/stores';
import { copyToClipboard, splitStream } from '$lib/utils';
import { generateChatCompletion, generateTitle } from '$lib/apis/ollama';
import { copyToClipboard, splitStream } from '$lib/utils';
import { createNewChat, getChatList, updateChatById } from '$lib/apis/chats';
import { queryVectorDB } from '$lib/apis/rag';
import { generateOpenAIChatCompletion } from '$lib/apis/openai';
import MessageInput from '$lib/components/chat/MessageInput.svelte';
import Messages from '$lib/components/chat/Messages.svelte';
import ModelSelector from '$lib/components/chat/ModelSelector.svelte';
import Navbar from '$lib/components/layout/Navbar.svelte';
import { createNewChat, getChatList, updateChatById } from '$lib/apis/chats';
import { generateOpenAIChatCompletion } from '$lib/apis/openai';
import { RAGTemplate } from '$lib/utils/rag';
let stopResponseFlag = false;
let autoScroll = true;
@ -113,8 +115,103 @@
// Ollama functions
//////////////////////////
const submitPrompt = async (userPrompt) => {
console.log('submitPrompt', $chatId);
if (selectedModels.includes('')) {
toast.error('Model not selected');
} else if (messages.length != 0 && messages.at(-1).done != true) {
// Response not done
console.log('wait');
} else {
// Reset chat message textarea height
document.getElementById('chat-textarea').style.height = '';
// Create user message
let userMessageId = uuidv4();
let userMessage = {
id: userMessageId,
parentId: messages.length !== 0 ? messages.at(-1).id : null,
childrenIds: [],
role: 'user',
content: userPrompt,
files: files.length > 0 ? files : undefined
};
// Add message to history and Set currentId to messageId
history.messages[userMessageId] = userMessage;
history.currentId = userMessageId;
// Append messageId to childrenIds of parent message
if (messages.length !== 0) {
history.messages[messages.at(-1).id].childrenIds.push(userMessageId);
}
// Wait until history/message have been updated
await tick();
// Create new chat if only one message in messages
if (messages.length == 1) {
if ($settings.saveChatHistory ?? true) {
chat = await createNewChat(localStorage.token, {
id: $chatId,
title: 'New Chat',
models: selectedModels,
system: $settings.system ?? undefined,
options: {
...($settings.options ?? {})
},
messages: messages,
history: history,
timestamp: Date.now()
});
await chats.set(await getChatList(localStorage.token));
await chatId.set(chat.id);
} else {
await chatId.set('local');
}
await tick();
}
// Reset chat input textarea
prompt = '';
files = [];
// Send prompt
await sendPrompt(userPrompt, userMessageId);
}
};
const sendPrompt = async (prompt, parentId) => {
const _chatId = JSON.parse(JSON.stringify($chatId));
// TODO: update below to include all ancestral files
const docs = history.messages[parentId].files.filter((item) => item.type === 'file');
if (docs.length > 0) {
const query = history.messages[parentId].content;
let relevantContexts = await Promise.all(
docs.map(async (doc) => {
return await queryVectorDB(localStorage.token, doc.collection_name, query, 4).catch(
(error) => {
console.log(error);
return null;
}
);
})
);
relevantContexts = relevantContexts.filter((context) => context);
const contextString = relevantContexts.reduce((a, context, i, arr) => {
return `${a}${context.documents.join(' ')}\n`;
}, '');
history.messages[parentId].raContent = RAGTemplate(contextString, query);
history.messages[parentId].contexts = relevantContexts;
await tick();
}
await Promise.all(
selectedModels.map(async (model) => {
console.log(model);
@ -177,7 +274,7 @@
.filter((message) => message)
.map((message) => ({
role: message.role,
content: message.content,
content: message?.raContent ?? message.content,
...(message.files && {
images: message.files
.filter((file) => file.type === 'image')
@ -366,7 +463,7 @@
content: [
{
type: 'text',
text: message.content
text: message?.raContent ?? message.content
},
...message.files
.filter((file) => file.type === 'image')
@ -378,7 +475,7 @@
}))
]
}
: { content: message.content })
: { content: message?.raContent ?? message.content })
})),
seed: $settings?.options?.seed ?? undefined,
stop: $settings?.options?.stop ?? undefined,
@ -494,73 +591,6 @@
}
};
const submitPrompt = async (userPrompt) => {
console.log('submitPrompt', $chatId);
if (selectedModels.includes('')) {
toast.error('Model not selected');
} else if (messages.length != 0 && messages.at(-1).done != true) {
// Response not done
console.log('wait');
} else {
// Reset chat message textarea height
document.getElementById('chat-textarea').style.height = '';
// Create user message
let userMessageId = uuidv4();
let userMessage = {
id: userMessageId,
parentId: messages.length !== 0 ? messages.at(-1).id : null,
childrenIds: [],
role: 'user',
content: userPrompt,
files: files.length > 0 ? files : undefined
};
// Add message to history and Set currentId to messageId
history.messages[userMessageId] = userMessage;
history.currentId = userMessageId;
// Append messageId to childrenIds of parent message
if (messages.length !== 0) {
history.messages[messages.at(-1).id].childrenIds.push(userMessageId);
}
// Wait until history/message have been updated
await tick();
// Create new chat if only one message in messages
if (messages.length == 1) {
if ($settings.saveChatHistory ?? true) {
chat = await createNewChat(localStorage.token, {
id: $chatId,
title: 'New Chat',
models: selectedModels,
system: $settings.system ?? undefined,
options: {
...($settings.options ?? {})
},
messages: messages,
history: history,
timestamp: Date.now()
});
await chats.set(await getChatList(localStorage.token));
await chatId.set(chat.id);
} else {
await chatId.set('local');
}
await tick();
}
// Reset chat input textarea
prompt = '';
files = [];
// Send prompt
await sendPrompt(userPrompt, userMessageId);
}
};
const stopResponse = () => {
stopResponseFlag = true;
console.log('stopResponse');