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fix llama index example #97

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merged 2 commits into from Mar 29, 2024
Merged

fix llama index example #97

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99e8014
fix llama index example
willydouhard Mar 22, 2024
6dcc6a8
fix infinite rendering
willydouhard Mar 26, 2024
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8 changes: 4 additions & 4 deletions custom-frontend/frontend/package-lock.json
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2 changes: 1 addition & 1 deletion custom-frontend/frontend/package.json
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Expand Up @@ -10,7 +10,7 @@
"preview": "vite preview"
},
"dependencies": {
"@chainlit/react-client": "0.0.2",
"@chainlit/react-client": "0.0.6",
"@radix-ui/react-slot": "^1.0.2",
"class-variance-authority": "^0.7.0",
"clsx": "^2.0.0",
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31 changes: 18 additions & 13 deletions custom-frontend/frontend/src/App.tsx
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@@ -1,32 +1,37 @@
import { useEffect } from "react";

import { ChainlitAPI, sessionState, useChatSession } from "@chainlit/react-client";
import {
ChainlitAPI,
sessionState,
useChatSession,
} from "@chainlit/react-client";
import { Playground } from "./components/playground";
import { useRecoilValue } from "recoil";

const CHAINLIT_SERVER = "http://localhost:8000";
const userEnv = {};

const apiClient = new ChainlitAPI(CHAINLIT_SERVER);
const apiClient = new ChainlitAPI(CHAINLIT_SERVER, "app");

function App() {
const { connect } = useChatSession();
const session = useRecoilValue(sessionState);

useEffect(() => {
if (session?.socket.connected) {
return
return;
}
fetch(apiClient
.buildEndpoint("/custom-auth")).then((res) => {
fetch(apiClient.buildEndpoint("/custom-auth"))
.then((res) => {
return res.json();
}
).then((data) => {
connect({ client: apiClient, userEnv, accessToken: `Bearer: ${data.token}` });
}
)
}, [session, connect]);

})
.then((data) => {
connect({
client: apiClient,
userEnv,
accessToken: `Bearer: ${data.token}`,
});
});
}, [connect]);

return (
<>
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6 changes: 5 additions & 1 deletion llama-index/app.py
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Expand Up @@ -11,6 +11,9 @@
)
from llama_index.llms.openai import OpenAI
from llama_index.embeddings.openai import OpenAIEmbedding
from llama_index.core.query_engine.retriever_query_engine import RetrieverQueryEngine
from llama_index.core.callbacks import CallbackManager
from llama_index.core.service_context import ServiceContext

openai.api_key = os.environ.get("OPENAI_API_KEY")

Expand All @@ -33,7 +36,8 @@ async def start():
Settings.embed_model = OpenAIEmbedding(model="text-embedding-3-small")
Settings.context_window = 4096

query_engine = index.as_query_engine(streaming=True, similarity_top_k=2)
service_context = ServiceContext.from_defaults(callback_manager=CallbackManager([cl.LlamaIndexCallbackHandler()]))
query_engine = index.as_query_engine(streaming=True, similarity_top_k=2, service_context=service_context)
cl.user_session.set("query_engine", query_engine)

await cl.Message(
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