mirror of
https://github.com/arc53/DocsGPT
synced 2024-11-19 21:25:39 +00:00
Merge branch 'arc53:main' into fix-celery-import-error
This commit is contained in:
xucailiang
GitHub
commit
d87b411193
@ -8,6 +8,30 @@ from langchain_community.embeddings import (
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from langchain_openai import OpenAIEmbeddings
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from application.core.settings import settings
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class EmbeddingsSingleton:
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_instances = {}
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@staticmethod
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def get_instance(embeddings_name, *args, **kwargs):
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if embeddings_name not in EmbeddingsSingleton._instances:
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EmbeddingsSingleton._instances[embeddings_name] = EmbeddingsSingleton._create_instance(embeddings_name, *args, **kwargs)
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return EmbeddingsSingleton._instances[embeddings_name]
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@staticmethod
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def _create_instance(embeddings_name, *args, **kwargs):
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embeddings_factory = {
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"openai_text-embedding-ada-002": OpenAIEmbeddings,
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"huggingface_sentence-transformers/all-mpnet-base-v2": HuggingFaceEmbeddings,
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"huggingface_sentence-transformers-all-mpnet-base-v2": HuggingFaceEmbeddings,
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"huggingface_hkunlp/instructor-large": HuggingFaceInstructEmbeddings,
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"cohere_medium": CohereEmbeddings
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}
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if embeddings_name not in embeddings_factory:
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raise ValueError(f"Invalid embeddings_name: {embeddings_name}")
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return embeddings_factory[embeddings_name](*args, **kwargs)
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class BaseVectorStore(ABC):
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def __init__(self):
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pass
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@ -20,42 +44,36 @@ class BaseVectorStore(ABC):
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return settings.OPENAI_API_BASE and settings.OPENAI_API_VERSION and settings.AZURE_DEPLOYMENT_NAME
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def _get_embeddings(self, embeddings_name, embeddings_key=None):
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embeddings_factory = {
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"openai_text-embedding-ada-002": OpenAIEmbeddings,
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"huggingface_sentence-transformers/all-mpnet-base-v2": HuggingFaceEmbeddings,
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"huggingface_hkunlp/instructor-large": HuggingFaceInstructEmbeddings,
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"cohere_medium": CohereEmbeddings
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}
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if embeddings_name not in embeddings_factory:
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raise ValueError(f"Invalid embeddings_name: {embeddings_name}")
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if embeddings_name == "openai_text-embedding-ada-002":
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if self.is_azure_configured():
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os.environ["OPENAI_API_TYPE"] = "azure"
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embedding_instance = embeddings_factory[embeddings_name](
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embedding_instance = EmbeddingsSingleton.get_instance(
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embeddings_name,
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model=settings.AZURE_EMBEDDINGS_DEPLOYMENT_NAME
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)
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else:
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embedding_instance = embeddings_factory[embeddings_name](
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embedding_instance = EmbeddingsSingleton.get_instance(
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embeddings_name,
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openai_api_key=embeddings_key
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)
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elif embeddings_name == "cohere_medium":
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embedding_instance = embeddings_factory[embeddings_name](
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embedding_instance = EmbeddingsSingleton.get_instance(
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embeddings_name,
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cohere_api_key=embeddings_key
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)
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elif embeddings_name == "huggingface_sentence-transformers/all-mpnet-base-v2":
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if os.path.exists("./model/all-mpnet-base-v2"):
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embedding_instance = embeddings_factory[embeddings_name](
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embedding_instance = EmbeddingsSingleton.get_instance(
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embeddings_name,
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model_name="./model/all-mpnet-base-v2",
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model_kwargs={"device": "cpu"},
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model_kwargs={"device": "cpu"}
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)
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else:
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embedding_instance = embeddings_factory[embeddings_name](
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model_kwargs={"device": "cpu"},
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embedding_instance = EmbeddingsSingleton.get_instance(
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embeddings_name,
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model_kwargs={"device": "cpu"}
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)
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else:
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embedding_instance = embeddings_factory[embeddings_name]()
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embedding_instance = EmbeddingsSingleton.get_instance(embeddings_name)
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return embedding_instance
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@ -1,13 +1,17 @@
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0,viewport-fit=cover" />
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<meta name="apple-mobile-web-app-capable" content="yes">
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<title>DocsGPT 🦖</title>
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<link rel="shortcut icon" type="image/x-icon" href="/favicon.ico" />
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</head>
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<body>
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<div id="root" class="h-screen"></div>
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<script type="module" src="/src/main.tsx"></script>
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</body>
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</html>
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@ -4,7 +4,13 @@ import { useTranslation } from 'react-i18next';
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export default function Hero({
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handleQuestion,
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}: {
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handleQuestion: (question: string) => void;
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handleQuestion: ({
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question,
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isRetry,
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}: {
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question: string;
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isRetry?: boolean;
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}) => void;
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}) {
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const { t } = useTranslation();
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const demos = t('demo', { returnObjects: true }) as Array<{
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@ -23,14 +29,14 @@ export default function Hero({
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<div className="mb-4 flex flex-col items-center justify-center dark:text-white"></div>
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</div>
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<div className="grid w-full grid-cols-1 items-center gap-4 self-center text-xs sm:w-auto sm:gap-6 md:text-sm lg:grid-cols-2">
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<div className="mb-16 grid w-full grid-cols-1 items-center gap-4 self-center text-xs sm:w-auto sm:gap-6 md:mb-0 md:text-sm lg:grid-cols-2">
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{demos?.map(
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(demo: { header: string; query: string }, key: number) =>
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demo.header &&
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demo.query && (
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<Fragment key={key}>
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<button
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onClick={() => handleQuestion(demo.query)}
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onClick={() => handleQuestion({ question: demo.query })}
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className="w-full rounded-full border-2 border-silver px-6 py-4 text-left hover:border-gray-4000 dark:hover:border-gray-3000 xl:min-w-[24vw]"
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>
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<p className="mb-1 font-semibold text-black dark:text-silver">
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17
frontend/src/components/RetryIcon.tsx
Normal file
17
frontend/src/components/RetryIcon.tsx
Normal file
@ -0,0 +1,17 @@
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import * as React from 'react';
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import { SVGProps } from 'react';
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const RetryIcon = (props: SVGProps<SVGSVGElement>) => (
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<svg
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xmlns="http://www.w3.org/2000/svg"
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xmlSpace="preserve"
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width={16}
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height={16}
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fill={props.fill}
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stroke={props.stroke}
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viewBox="0 0 383.748 383.748"
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{...props}
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>
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<path d="M62.772 95.042C90.904 54.899 137.496 30 187.343 30c83.743 0 151.874 68.13 151.874 151.874h30C369.217 81.588 287.629 0 187.343 0c-35.038 0-69.061 9.989-98.391 28.888a182.423 182.423 0 0 0-47.731 44.705L2.081 34.641v113.365h113.91L62.772 95.042zM381.667 235.742h-113.91l53.219 52.965c-28.132 40.142-74.724 65.042-124.571 65.042-83.744 0-151.874-68.13-151.874-151.874h-30c0 100.286 81.588 181.874 181.874 181.874 35.038 0 69.062-9.989 98.391-28.888a182.443 182.443 0 0 0 47.731-44.706l39.139 38.952V235.742z" />
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</svg>
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);
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export default RetryIcon;
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@ -19,6 +19,7 @@ import { FEEDBACK, Query } from './conversationModels';
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import { sendFeedback } from './conversationApi';
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import { useTranslation } from 'react-i18next';
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import ArrowDown from './../assets/arrow-down.svg';
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import RetryIcon from '../components/RetryIcon';
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export default function Conversation() {
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const queries = useSelector(selectQueries);
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const status = useSelector(selectStatus);
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@ -29,6 +30,7 @@ export default function Conversation() {
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const [hasScrolledToLast, setHasScrolledToLast] = useState(true);
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const fetchStream = useRef<any>(null);
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const [eventInterrupt, setEventInterrupt] = useState(false);
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const [lastQueryReturnedErr, setLastQueryReturnedErr] = useState(false);
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const { t } = useTranslation();
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const handleUserInterruption = () => {
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@ -73,6 +75,13 @@ export default function Conversation() {
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};
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}, [endMessageRef.current]);
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useEffect(() => {
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if (queries.length) {
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queries[queries.length - 1].error && setLastQueryReturnedErr(true);
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queries[queries.length - 1].response && setLastQueryReturnedErr(false); //considering a query that initially returned error can later include a response property on retry
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}
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}, [queries[queries.length - 1]]);
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const scrollIntoView = () => {
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endMessageRef?.current?.scrollIntoView({
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behavior: 'smooth',
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@ -80,13 +89,20 @@ export default function Conversation() {
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});
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};
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const handleQuestion = (question: string) => {
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const handleQuestion = ({
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question,
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isRetry = false,
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}: {
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question: string;
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isRetry?: boolean;
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}) => {
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question = question.trim();
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if (question === '') return;
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setEventInterrupt(false);
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dispatch(addQuery({ prompt: question }));
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!isRetry && dispatch(addQuery({ prompt: question })); //dispatch only new queries
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fetchStream.current = dispatch(fetchAnswer({ question }));
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};
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const handleFeedback = (query: Query, feedback: FEEDBACK, index: number) => {
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const prevFeedback = query.feedback;
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dispatch(updateQuery({ index, query: { feedback } }));
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@ -95,19 +111,32 @@ export default function Conversation() {
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);
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};
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const handleQuestionSubmission = () => {
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if (inputRef.current?.textContent && status !== 'loading') {
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if (lastQueryReturnedErr) {
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// update last failed query with new prompt
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dispatch(
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updateQuery({
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index: queries.length - 1,
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query: {
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prompt: inputRef.current.textContent,
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},
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}),
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);
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handleQuestion({
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question: queries[queries.length - 1].prompt,
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isRetry: true,
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});
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} else {
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handleQuestion({ question: inputRef.current.textContent });
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}
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inputRef.current.textContent = '';
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}
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};
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const prepResponseView = (query: Query, index: number) => {
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let responseView;
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if (query.error) {
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responseView = (
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<ConversationBubble
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ref={endMessageRef}
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className={`${index === queries.length - 1 ? 'mb-32' : 'mb-7'}`}
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key={`${index}ERROR`}
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message={query.error}
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type="ERROR"
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></ConversationBubble>
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);
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} else if (query.response) {
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if (query.response) {
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responseView = (
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<ConversationBubble
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ref={endMessageRef}
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@ -122,6 +151,35 @@ export default function Conversation() {
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}
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></ConversationBubble>
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);
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} else if (query.error) {
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const retryBtn = (
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<button
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className="flex items-center justify-center gap-3 self-center rounded-full border border-silver py-3 px-5 text-lg text-gray-500 transition-colors delay-100 hover:border-gray-500 disabled:cursor-not-allowed dark:text-bright-gray"
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disabled={status === 'loading'}
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onClick={() => {
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handleQuestion({
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question: queries[queries.length - 1].prompt,
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isRetry: true,
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});
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}}
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>
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<RetryIcon
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fill={isDarkTheme ? 'rgb(236 236 241)' : 'rgb(107 114 120)'}
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stroke={isDarkTheme ? 'rgb(236 236 241)' : 'rgb(107 114 120)'}
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/>
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Retry
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</button>
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);
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responseView = (
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<ConversationBubble
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ref={endMessageRef}
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className={`${index === queries.length - 1 ? 'mb-32' : 'mb-7'} `}
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key={`${index}ERROR`}
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message={query.error}
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type="ERROR"
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retryBtn={retryBtn}
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></ConversationBubble>
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);
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}
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return responseView;
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};
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@ -137,13 +195,13 @@ export default function Conversation() {
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<div
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onWheel={handleUserInterruption}
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onTouchMove={handleUserInterruption}
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className="flex h-[85vh] w-full justify-center overflow-y-auto p-4"
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className="flex h-[90%] w-full justify-center overflow-y-auto p-4 md:h-[84vh]"
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>
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{queries.length > 0 && !hasScrolledToLast && (
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<button
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onClick={scrollIntoView}
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aria-label="scroll to bottom"
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className="fixed bottom-32 right-14 z-10 flex h-7 w-7 items-center justify-center rounded-full border-[0.5px] border-gray-alpha bg-gray-100 bg-opacity-50 dark:bg-purple-taupe md:h-9 md:w-9 md:bg-opacity-100 "
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className="fixed bottom-40 right-14 z-10 flex h-7 w-7 items-center justify-center rounded-full border-[0.5px] border-gray-alpha bg-gray-100 bg-opacity-50 dark:bg-purple-taupe md:h-9 md:w-9 md:bg-opacity-100 "
|
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>
|
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<img
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src={ArrowDown}
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@ -165,16 +223,19 @@ export default function Conversation() {
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type="QUESTION"
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sources={query.sources}
|
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></ConversationBubble>
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|
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{prepResponseView(query, index)}
|
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</Fragment>
|
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);
|
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})}
|
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</div>
|
||||
)}
|
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|
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{queries.length === 0 && <Hero handleQuestion={handleQuestion} />}
|
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</div>
|
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<div className="bottom-0 flex w-11/12 flex-col items-end self-center bg-white pt-1 dark:bg-raisin-black sm:w-6/12 md:fixed">
|
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<div className="flex h-full w-full items-center rounded-full border border-silver">
|
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|
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<div className="bottom-safe fixed flex w-11/12 flex-col items-end self-center rounded-2xl bg-opacity-0 pb-1 sm:w-6/12">
|
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<div className="flex h-full w-full items-center rounded-full border border-silver bg-white dark:bg-raisin-black">
|
||||
<div
|
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id="inputbox"
|
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ref={inputRef}
|
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@ -186,34 +247,27 @@ export default function Conversation() {
|
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onKeyDown={(e) => {
|
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if (e.key === 'Enter' && !e.shiftKey) {
|
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e.preventDefault();
|
||||
if (inputRef.current?.textContent && status !== 'loading') {
|
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handleQuestion(inputRef.current.textContent);
|
||||
inputRef.current.textContent = '';
|
||||
}
|
||||
handleQuestionSubmission();
|
||||
}
|
||||
}}
|
||||
></div>
|
||||
{status === 'loading' ? (
|
||||
<img
|
||||
src={isDarkTheme ? SpinnerDark : Spinner}
|
||||
className="relative right-[38px] bottom-[15px] -mr-[30px] animate-spin cursor-pointer self-end bg-transparent"
|
||||
className="relative right-[38px] bottom-[24px] -mr-[30px] animate-spin cursor-pointer self-end bg-transparent"
|
||||
></img>
|
||||
) : (
|
||||
<div className="mx-1 cursor-pointer rounded-full p-4 text-center hover:bg-gray-3000">
|
||||
<img
|
||||
className="w-6 text-white "
|
||||
onClick={() => {
|
||||
if (inputRef.current?.textContent) {
|
||||
handleQuestion(inputRef.current.textContent);
|
||||
inputRef.current.textContent = '';
|
||||
}
|
||||
}}
|
||||
onClick={handleQuestionSubmission}
|
||||
src={isDarkTheme ? SendDark : Send}
|
||||
></img>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
<p className="text-gray-595959 hidden w-[100vw] self-center bg-white bg-transparent p-5 text-center text-xs dark:bg-raisin-black dark:text-bright-gray md:inline md:w-full">
|
||||
|
||||
<p className="text-gray-595959 hidden w-[100vw] self-center bg-white bg-transparent py-2 text-center text-xs dark:bg-raisin-black dark:text-bright-gray md:inline md:w-full">
|
||||
{t('tagline')}
|
||||
</p>
|
||||
</div>
|
||||
|
||||
@ -23,9 +23,10 @@ const ConversationBubble = forwardRef<
|
||||
feedback?: FEEDBACK;
|
||||
handleFeedback?: (feedback: FEEDBACK) => void;
|
||||
sources?: { title: string; text: string; source: string }[];
|
||||
retryBtn?: React.ReactElement;
|
||||
}
|
||||
>(function ConversationBubble(
|
||||
{ message, type, className, feedback, handleFeedback, sources },
|
||||
{ message, type, className, feedback, handleFeedback, sources, retryBtn },
|
||||
ref,
|
||||
) {
|
||||
const [openSource, setOpenSource] = useState<number | null>(null);
|
||||
@ -69,12 +70,17 @@ const ConversationBubble = forwardRef<
|
||||
<div
|
||||
className={`ml-2 mr-5 flex max-w-[90vw] rounded-3xl bg-gray-1000 p-3.5 dark:bg-gun-metal md:max-w-[70vw] lg:max-w-[50vw] ${
|
||||
type === 'ERROR'
|
||||
? 'flex-row items-center rounded-full border border-transparent bg-[#FFE7E7] p-2 py-5 text-sm font-normal text-red-3000 dark:border-red-2000 dark:text-white'
|
||||
? 'relative flex-row items-center rounded-full border border-transparent bg-[#FFE7E7] p-2 py-5 text-sm font-normal text-red-3000 dark:border-red-2000 dark:text-white'
|
||||
: 'flex-col rounded-3xl'
|
||||
}`}
|
||||
>
|
||||
{type === 'ERROR' && (
|
||||
<>
|
||||
<img src={Alert} alt="alert" className="mr-2 inline" />
|
||||
<div className="absolute -right-32 top-1/2 -translate-y-1/2">
|
||||
{retryBtn}
|
||||
</div>
|
||||
</>
|
||||
)}
|
||||
<ReactMarkdown
|
||||
className="whitespace-pre-wrap break-normal leading-normal"
|
||||
|
||||
@ -1,6 +1,5 @@
|
||||
import { Answer, FEEDBACK } from './conversationModels';
|
||||
import { Doc } from '../preferences/preferenceApi';
|
||||
import { selectTokenLimit } from '../preferences/preferenceSlice';
|
||||
|
||||
const apiHost = import.meta.env.VITE_API_HOST || 'https://docsapi.arc53.com';
|
||||
|
||||
|
||||
@ -408,3 +408,7 @@ template {
|
||||
::-webkit-scrollbar {
|
||||
width: 0;
|
||||
}
|
||||
|
||||
.bottom-safe {
|
||||
bottom: env(safe-area-inset-bottom, 0);
|
||||
}
|
||||
|
||||
@ -4,6 +4,7 @@ import { initReactI18next } from 'react-i18next';
|
||||
import en from './en.json'; //English
|
||||
import es from './es.json'; //Spanish
|
||||
import jp from './jp.json'; //Japanese
|
||||
import zh from './zh.json'; //Mandarin
|
||||
|
||||
i18n.use(initReactI18next).init({
|
||||
resources: {
|
||||
@ -16,6 +17,9 @@ i18n.use(initReactI18next).init({
|
||||
jp: {
|
||||
translation: jp,
|
||||
},
|
||||
zh: {
|
||||
translation: zh,
|
||||
},
|
||||
},
|
||||
});
|
||||
|
||||
|
||||
@ -106,4 +106,3 @@
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
109
frontend/src/locale/zh.json
Normal file
109
frontend/src/locale/zh.json
Normal file
@ -0,0 +1,109 @@
|
||||
{
|
||||
"language": "普通话",
|
||||
"chat": "聊天",
|
||||
"chats": "聊天",
|
||||
"newChat": "新聊天",
|
||||
"myPlan": "我的计划",
|
||||
"about": "关于",
|
||||
"inputPlaceholder": "在这里输入您的消息...",
|
||||
"tagline": "DocsGPT 使用 GenAI, 请使用来源审核关键信息.",
|
||||
"sourceDocs": "来源文档",
|
||||
"none": "无",
|
||||
"cancel":"取消",
|
||||
"demo": [
|
||||
{
|
||||
"header": "了解 DocsGPT",
|
||||
"query": "DocsGPT 是什么"
|
||||
},
|
||||
{
|
||||
"header": "总结文档",
|
||||
"query": "总结当前情况"
|
||||
},
|
||||
{
|
||||
"header": "编写代码",
|
||||
"query": "为 /api/answer API 请求编写代码"
|
||||
},
|
||||
{
|
||||
"header": "学习帮助",
|
||||
"query": "为背景写出潜在问题"
|
||||
}
|
||||
],
|
||||
"settings": {
|
||||
"label": "设置",
|
||||
"general": {
|
||||
"label": "般",
|
||||
"selectTheme": "选择主题",
|
||||
"light": "浅色",
|
||||
"dark": "暗色",
|
||||
"selectLanguage": "选择语言",
|
||||
"chunks": "每个查询处理的块",
|
||||
"prompt": "提示",
|
||||
"deleteAllLabel": "删除所有对话",
|
||||
"deleteAllBtn": "删除所有",
|
||||
"addNew": "添加新的",
|
||||
"convHistory":"对话历史",
|
||||
"none":"无",
|
||||
"low":"低",
|
||||
"medium":"中",
|
||||
"high":"高",
|
||||
"unlimited":"无限",
|
||||
"default":"默认"
|
||||
},
|
||||
"documents": {
|
||||
"label": "文件",
|
||||
"name": "文件名称",
|
||||
"date": "向量日期",
|
||||
"type": "类型",
|
||||
"tokenUsage": "令牌使用"
|
||||
},
|
||||
"apiKeys": {
|
||||
"label": "API 密钥",
|
||||
"name": "名称",
|
||||
"key": "API 密钥",
|
||||
"sourceDoc": "源文档",
|
||||
"createNew": "创建新的"
|
||||
}
|
||||
},
|
||||
"modals": {
|
||||
"uploadDoc": {
|
||||
"label": "上传新文档资料",
|
||||
"file": "从文件",
|
||||
"remote": "远程",
|
||||
"name": "名称",
|
||||
"choose": "选择文件",
|
||||
"info": "请上传 .pdf, .txt, .rst, .docx, .md, .zip 文件，限 25MB",
|
||||
"uploadedFiles": "已上传文件",
|
||||
"cancel": "取消",
|
||||
"train": "训练",
|
||||
"link": "链接",
|
||||
"urlLink": "URL 链接",
|
||||
"reddit": {
|
||||
"id": "客户端 ID",
|
||||
"secret": "客户端密钥",
|
||||
"agent": "用户代理",
|
||||
"searchQueries": "搜索查询",
|
||||
"numberOfPosts": "帖子数量"
|
||||
}
|
||||
},
|
||||
"createAPIKey": {
|
||||
"label": "创建新的 API 密钥",
|
||||
"apiKeyName": "API 密钥名称",
|
||||
"chunks": "每个查询处理的块",
|
||||
"prompt": "选择活动提示",
|
||||
"sourceDoc": "源文档",
|
||||
"create": "创建"
|
||||
},
|
||||
"saveKey": {
|
||||
"note": "请保存您的密钥",
|
||||
"disclaimer": "这是您的密钥唯一一次展示机会。",
|
||||
"copy": "复制",
|
||||
"copied": "已复制",
|
||||
"confirm": "我已保存密钥"
|
||||
},
|
||||
"deleteConv": {
|
||||
"confirm": "您确定要删除所有对话吗？",
|
||||
"delete": "删除"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -36,6 +36,10 @@ const General: React.FC = () => {
|
||||
label: 'Japanese',
|
||||
value: 'jp',
|
||||
},
|
||||
{
|
||||
label: 'Mandarin',
|
||||
value: 'zh',
|
||||
},
|
||||
];
|
||||
const chunks = ['0', '2', '4', '6', '8', '10'];
|
||||
const token_limits = new Map([
|
||||
|
||||
Loading…
Reference in New Issue
Block a user