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Merge branch 'arc53:main' into main

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This commit is contained in:
Siddhant Rai
2024-03-26 16:07:25 +05:30
committed by GitHub
parent f272d7121a 0e90febab2
commit 0c3970a266
9 changed files with 101 additions and 23 deletions
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46
application/api/answer/routes.py
View File

@@ -28,12 +28,15 @@ vectors_collection = db["vectors"]
prompts_collection = db["prompts"]
answer = Blueprint('answer', __name__)
if settings.LLM_NAME == "gpt4":
gpt_model = 'gpt-4'
gpt_model = ""
# to have some kind of default behaviour
if settings.LLM_NAME == "openai":
gpt_model = 'gpt-3.5-turbo'
elif settings.LLM_NAME == "anthropic":
gpt_model = 'claude-2'
else:
gpt_model = 'gpt-3.5-turbo'
if settings.MODEL_NAME: # in case there is particular model name configured
gpt_model = settings.MODEL_NAME
# load the prompts
current_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
@@ -95,7 +98,7 @@ def is_azure_configured():
return settings.OPENAI_API_BASE and settings.OPENAI_API_VERSION and settings.AZURE_DEPLOYMENT_NAME
def complete_stream(question, docsearch, chat_history, api_key, prompt_id, conversation_id):
def complete_stream(question, docsearch, chat_history, api_key, prompt_id, conversation_id, chunks=2):
llm = LLMCreator.create_llm(settings.LLM_NAME, api_key=api_key)
if prompt_id == 'default':
@@ -106,8 +109,11 @@ def complete_stream(question, docsearch, chat_history, api_key, prompt_id, conve
prompt = chat_combine_strict
else:
prompt = prompts_collection.find_one({"_id": ObjectId(prompt_id)})["content"]
docs = docsearch.search(question, k=2)
if chunks == 0:
docs = []
else:
docs = docsearch.search(question, k=chunks)
if settings.LLM_NAME == "llama.cpp":
docs = [docs[0]]
# join all page_content together with a newline
@@ -190,6 +196,10 @@ def stream():
prompt_id = data["prompt_id"]
else:
prompt_id = 'default'
if 'chunks' in data:
chunks = int(data["chunks"])
else:
chunks = 2
# check if active_docs is set
@@ -211,7 +221,8 @@ def stream():
complete_stream(question, docsearch,
chat_history=history, api_key=api_key,
prompt_id=prompt_id,
conversation_id=conversation_id), mimetype="text/event-stream"
conversation_id=conversation_id,
chunks=chunks), mimetype="text/event-stream"
)
@@ -237,6 +248,10 @@ def api_answer():
prompt_id = data["prompt_id"]
else:
prompt_id = 'default'
if 'chunks' in data:
chunks = int(data["chunks"])
else:
chunks = 2
if prompt_id == 'default':
prompt = chat_combine_template
@@ -260,7 +275,10 @@ def api_answer():
docs = docsearch.search(question, k=2)
if chunks == 0:
docs = []
else:
docs = docsearch.search(question, k=chunks)
# join all page_content together with a newline
docs_together = "\n".join([doc.page_content for doc in docs])
p_chat_combine = prompt.replace("{summaries}", docs_together)
@@ -359,9 +377,15 @@ def api_search():
vectorstore = get_vectorstore({"active_docs": data["active_docs"]})
else:
vectorstore = ""
if 'chunks' in data:
chunks = int(data["chunks"])
else:
chunks = 2
docsearch = VectorCreator.create_vectorstore(settings.VECTOR_STORE, vectorstore, embeddings_key)
docs = docsearch.search(question, k=2)
if chunks == 0:
docs = []
else:
docs = docsearch.search(question, k=chunks)
source_log_docs = []
for doc in docs:

1
application/core/settings.py
View File

@@ -9,6 +9,7 @@ current_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__
class Settings(BaseSettings):
LLM_NAME: str = "docsgpt"
MODEL_NAME: Optional[str] = None # when LLM_NAME is openai, MODEL_NAME can be e.g. gpt-4-turbo-preview or gpt-3.5-turbo
EMBEDDINGS_NAME: str = "huggingface_sentence-transformers/all-mpnet-base-v2"
CELERY_BROKER_URL: str = "redis://localhost:6379/0"
CELERY_RESULT_BACKEND: str = "redis://localhost:6379/1"

27
docs/package-lock.json generated
View File

@@ -7,7 +7,7 @@
"license": "MIT",
"dependencies": {
"@vercel/analytics": "^1.1.1",
"docsgpt": "^0.3.0",
"docsgpt": "^0.3.7",
"next": "^14.0.4",
"nextra": "^2.13.2",
"nextra-theme-docs": "^2.13.2",
@@ -422,6 +422,11 @@
"node": ">=6.9.0"
}
},
"node_modules/@bpmn-io/snarkdown": {
"version": "2.2.0",
"resolved": "https://registry.npmjs.org/@bpmn-io/snarkdown/-/snarkdown-2.2.0.tgz",
"integrity": "sha512-bVD7FIoaBDZeCJkMRgnBPDeptPlto87wt2qaCjf5t8iLaevDmTPaREd6FpBEGsHlUdHFFZWRk4qAoEC5So2M0Q=="
},
"node_modules/@braintree/sanitize-url": {
"version": "6.0.4",
"resolved": "https://registry.npmjs.org/@braintree/sanitize-url/-/sanitize-url-6.0.4.tgz",
@@ -4958,11 +4963,12 @@
}
},
"node_modules/docsgpt": {
"version": "0.3.0",
"resolved": "https://registry.npmjs.org/docsgpt/-/docsgpt-0.3.0.tgz",
"integrity": "sha512-0yT2m+HAlJ+289p278c3Zi07bu2wr6zULOT/bYXtJ/nb59V2Vpfdj2xFB49+lYLSeVe8H+Ij5fFSNZ6RkVRfMQ==",
"version": "0.3.7",
"resolved": "https://registry.npmjs.org/docsgpt/-/docsgpt-0.3.7.tgz",
"integrity": "sha512-VHrXXOEFtjNTcpA8Blf3IzpLlJxOMhm/S5CM4FDjQEkdK9WWhI8yXd/0Rs/FS8oz7YbFrNxO758mlP7OtQtBBw==",
"dependencies": {
"@babel/plugin-transform-flow-strip-types": "^7.23.3",
"@bpmn-io/snarkdown": "^2.2.0",
"@parcel/resolver-glob": "^2.12.0",
"@parcel/transformer-svg-react": "^2.12.0",
"@parcel/transformer-typescript-tsc": "^2.12.0",
@@ -4972,6 +4978,7 @@
"@types/react-dom": "^18.2.19",
"class-variance-authority": "^0.7.0",
"clsx": "^2.1.0",
"dompurify": "^3.0.9",
"flow-bin": "^0.229.2",
"i": "^0.3.7",
"install": "^0.13.0",
@@ -5029,9 +5036,9 @@
}
},
"node_modules/dompurify": {
"version": "3.0.7",
"resolved": "https://registry.npmjs.org/dompurify/-/dompurify-3.0.7.tgz",
"integrity": "sha512-BViYTZoqP3ak/ULKOc101y+CtHDUvBsVgSxIF1ku0HmK6BRf+C03MC+tArMvOPtVtZp83DDh5puywKDu4sbVjQ=="
"version": "3.0.11",
"resolved": "https://registry.npmjs.org/dompurify/-/dompurify-3.0.11.tgz",
"integrity": "sha512-Fan4uMuyB26gFV3ovPoEoQbxRRPfTu3CvImyZnhGq5fsIEO+gEFLp45ISFt+kQBWsK5ulDdT0oV28jS1UrwQLg=="
},
"node_modules/domutils": {
"version": "2.8.0",
@@ -6206,9 +6213,9 @@
"integrity": "sha512-gfFQZrcTc8CnKXp6Y4/CBT3fTc0OVuDofpre4aEeEpSBPV5X5v4+Vmx+8snU7RLPrNHPKSgLxGo9YuQzz20o+w=="
},
"node_modules/katex": {
"version": "0.16.9",
"resolved": "https://registry.npmjs.org/katex/-/katex-0.16.9.tgz",
"integrity": "sha512-fsSYjWS0EEOwvy81j3vRA8TEAhQhKiqO+FQaKWp0m39qwOzHVBgAUBIXWj1pB+O2W3fIpNa6Y9KSKCVbfPhyAQ==",
"version": "0.16.10",
"resolved": "https://registry.npmjs.org/katex/-/katex-0.16.10.tgz",
"integrity": "sha512-ZiqaC04tp2O5utMsl2TEZTXxa6WSC4yo0fv5ML++D3QZv/vx2Mct0mTlRx3O+uUkjfuAgOkzsCmq5MiUEsDDdA==",
"funding": [
"https://opencollective.com/katex",
"https://github.com/sponsors/katex"

17
frontend/src/Setting.tsx
View File

@@ -8,6 +8,8 @@ import {
setPrompt,
selectSourceDocs,
setSourceDocs,
setChunks,
selectChunks,
} from './preferences/preferenceSlice';
import { Doc } from './preferences/preferenceApi';
import { useDarkTheme } from './hooks';
@@ -193,10 +195,13 @@ const Setting: React.FC = () => {
const General: React.FC = () => {
const themes = ['Light', 'Dark'];
const languages = ['English'];
const chunks = ['0', '2', '4', '6', '8', '10'];
const selectedChunks = useSelector(selectChunks);
const [isDarkTheme, toggleTheme] = useDarkTheme();
const [selectedTheme, setSelectedTheme] = useState(
isDarkTheme ? 'Dark' : 'Light',
);
const dispatch = useDispatch();
const [selectedLanguage, setSelectedLanguage] = useState(languages[0]);
return (
<div className="mt-[59px]">
@@ -211,7 +216,7 @@ const General: React.FC = () => {
}}
/>
</div>
<div>
<div className="mb-4">
<p className="font-bold text-jet dark:text-bright-gray">
Select Language
</p>
@@ -221,6 +226,16 @@ const General: React.FC = () => {
onSelect={setSelectedLanguage}
/>
</div>
<div>
<p className="font-bold text-jet dark:text-bright-gray">
Chunks processed per query
</p>
<Dropdown
options={chunks}
selectedValue={selectedChunks}
onSelect={(value: string) => dispatch(setChunks(value))}
/>
</div>
</div>
);
};

5
frontend/src/conversation/ConversationBubble.tsx
View File

@@ -160,7 +160,10 @@ const ConversationBubble = forwardRef<
>
{message}
</ReactMarkdown>
{DisableSourceFE || type === 'ERROR' ? null : (
{DisableSourceFE ||
type === 'ERROR' ||
!sources ||
sources.length === 0 ? null : (
<>
<span className="mt-3 h-px w-full bg-[#DEDEDE]"></span>
<div className="mt-3 flex w-full flex-row flex-wrap items-center justify-start gap-2">

6
frontend/src/conversation/conversationApi.ts
View File

@@ -11,6 +11,7 @@ export function fetchAnswerApi(
history: Array<any> = [],
conversationId: string | null,
promptId: string | null,
chunks: string,
): Promise<
| {
result: any;
@@ -65,6 +66,7 @@ export function fetchAnswerApi(
active_docs: docPath,
conversation_id: conversationId,
prompt_id: promptId,
chunks: chunks,
}),
signal,
})
@@ -95,6 +97,7 @@ export function fetchAnswerSteaming(
history: Array<any> = [],
conversationId: string | null,
promptId: string | null,
chunks: string,
onEvent: (event: MessageEvent) => void,
): Promise<Answer> {
let namePath = selectedDocs.name;
@@ -130,6 +133,7 @@ export function fetchAnswerSteaming(
history: JSON.stringify(history),
conversation_id: conversationId,
prompt_id: promptId,
chunks: chunks,
};
fetch(apiHost + '/stream', {
method: 'POST',
@@ -192,6 +196,7 @@ export function searchEndpoint(
selectedDocs: Doc,
conversation_id: string | null,
history: Array<any> = [],
chunks: string,
) {
/*
"active_docs": "default",
@@ -223,6 +228,7 @@ export function searchEndpoint(
active_docs: docPath,
conversation_id,
history,
chunks: chunks,
};
return fetch(`${apiHost}/api/search`, {
method: 'POST',

3
frontend/src/conversation/conversationSlice.ts
View File

@@ -28,6 +28,7 @@ export const fetchAnswer = createAsyncThunk<Answer, { question: string }>(
state.conversation.queries,
state.conversation.conversationId,
state.preference.prompt.id,
state.preference.chunks,
(event) => {
const data = JSON.parse(event.data);
@@ -51,6 +52,7 @@ export const fetchAnswer = createAsyncThunk<Answer, { question: string }>(
state.preference.selectedDocs!,
state.conversation.conversationId,
state.conversation.queries,
state.preference.chunks,
).then((sources) => {
//dispatch streaming sources
dispatch(
@@ -86,6 +88,7 @@ export const fetchAnswer = createAsyncThunk<Answer, { question: string }>(
state.conversation.queries,
state.conversation.conversationId,
state.preference.prompt.id,
state.preference.chunks,
);
if (answer) {
let sourcesPrepped = [];

17
frontend/src/preferences/preferenceSlice.ts
View File

@@ -10,6 +10,7 @@ interface Preference {
apiKey: string;
prompt: { name: string; id: string; type: string };
selectedDocs: Doc | null;
chunks: string;
sourceDocs: Doc[] | null;
conversations: { name: string; id: string }[] | null;
}
@@ -17,6 +18,7 @@ interface Preference {
const initialState: Preference = {
apiKey: 'xxx',
prompt: { name: 'default', id: 'default', type: 'public' },
chunks: '2',
selectedDocs: {
name: 'default',
language: 'default',
@@ -51,6 +53,9 @@ export const prefSlice = createSlice({
setPrompt: (state, action) => {
state.prompt = action.payload;
},
setChunks: (state, action) => {
state.chunks = action.payload;
},
},
});
@@ -60,6 +65,7 @@ export const {
setSourceDocs,
setConversations,
setPrompt,
setChunks,
} = prefSlice.actions;
export default prefSlice.reducer;
@@ -91,6 +97,16 @@ prefListenerMiddleware.startListening({
},
});
prefListenerMiddleware.startListening({
matcher: isAnyOf(setChunks),
effect: (action, listenerApi) => {
localStorage.setItem(
'DocsGPTChunks',
JSON.stringify((listenerApi.getState() as RootState).preference.chunks),
);
},
});
export const selectApiKey = (state: RootState) => state.preference.apiKey;
export const selectApiKeyStatus = (state: RootState) =>
!!state.preference.apiKey;
@@ -105,3 +121,4 @@ export const selectConversations = (state: RootState) =>
export const selectConversationId = (state: RootState) =>
state.conversation.conversationId;
export const selectPrompt = (state: RootState) => state.preference.prompt;
export const selectChunks = (state: RootState) => state.preference.chunks;

2
frontend/src/store.ts
View File

@@ -8,11 +8,13 @@ import {
const key = localStorage.getItem('DocsGPTApiKey');
const prompt = localStorage.getItem('DocsGPTPrompt');
const doc = localStorage.getItem('DocsGPTRecentDocs');
const chunks = localStorage.getItem('DocsGPTChunks');
const store = configureStore({
preloadedState: {
preference: {
apiKey: key ?? '',
chunks: JSON.parse(chunks ?? '2').toString(),
selectedDocs: doc !== null ? JSON.parse(doc) : null,
prompt:
prompt !== null