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default \"__VITE_ASSET__4e6ad5ae__\"","import { Outlet, NavLink, Link } from \"react-router-dom\";\nimport React, { HTMLProps } from 'react';\n\nimport github from \"../../assets/github.svg\";\n\nimport styles from \"./Layout.module.css\";\n\ninterface VideoProps extends HTMLProps {\n autoplay?: boolean;\n muted?: boolean;\n loop?: boolean;\n playsinline?: boolean;\n className?: string;\n}\nconst Layout = () => {\n return (\n
\n
\n
\n \n

DTDL CustomerCare

\n \n \n

DTDL-CustomerCare

\n
\n
\n \n \n \n
\n
\n\n \n
\n );\n};\n\nexport default Layout;\n","export const BACKEND_URI = 'https://dghx6mmczrmj4mk-api.lemoncoast-95e11f85.eastus.azurecontainerapps.io';\n","import { ChatAppResponse, ChatAppResponseOrError, ChatAppRequest,ClearChatAppRequest,SummaryAppRequest, Config } from \"./models\";\nimport { BACKEND_URI } from \"./BACKEND_URI\";\n\nfunction getHeaders(): Record {\n var headers: Record = {\n \"Content-Type\": \"application/json\"\n };\n return headers;\n}\n\nexport async function chatApi(request: ChatAppRequest): Promise {\n const body = JSON.stringify(request);\n return await fetch(`${BACKEND_URI}/ai`, {\n method: \"POST\",\n mode: \"cors\",\n headers: getHeaders(),\n body: body\n });\n}\n\nexport async function fetchSummary(request: SummaryAppRequest): Promise {\n const body = JSON.stringify(request);\n return await fetch(`${BACKEND_URI}/summary`, {\n method: \"POST\",\n mode: \"cors\",\n headers: getHeaders(),\n body: body\n });\n}\n\nexport const clearChatApi = async (request: ClearChatAppRequest): Promise => {\n const response = await fetch(`${BACKEND_URI}/clear`, {\n method: 'DELETE',\n headers: getHeaders(), \n body: JSON.stringify(request),\n });\n return response;\n};\n\nexport function getCitationFilePath(citation: string): string {\n return `${BACKEND_URI}/content/${citation}`;\n}\n","export const enum RetrievalMode {\n Hybrid = \"hybrid\",\n Vectors = \"vectors\",\n Text = \"text\"\n}\n\nexport const enum GPT4VInput {\n TextAndImages = \"textAndImages\",\n Images = \"images\",\n Texts = \"texts\"\n}\n\nexport const enum VectorFieldOptions {\n Embedding = \"embedding\",\n ImageEmbedding = \"imageEmbedding\",\n Both = \"both\"\n}\n\nexport type ChatAppRequestOverrides = {\n retrieval_mode?: RetrievalMode;\n semantic_ranker?: boolean;\n semantic_captions?: boolean;\n exclude_category?: string;\n top?: number;\n temperature?: number;\n prompt_template?: string;\n prompt_template_prefix?: string;\n prompt_template_suffix?: string;\n suggest_followup_questions?: boolean;\n use_oid_security_filter?: boolean;\n use_groups_security_filter?: boolean;\n use_gpt4v?: boolean;\n gpt4v_input?: GPT4VInput;\n vector_fields: VectorFieldOptions[];\n};\n\nexport type ResponseMessage = {\n content: string;\n role: string;\n};\n\nexport type Thoughts = {\n title: string;\n description: any; // It can be any output from the api\n props?: { [key: string]: string };\n};\n\nexport type ResponseContext = {\n data_points: string[];\n followup_questions: string[] | null;\n thoughts: Thoughts[];\n};\n\nexport type ResponseChoice = {\n index: number;\n message: ResponseMessage;\n context: ResponseContext;\n session_state: any;\n};\n\nexport type ChatAppResponseOrError = {\n choices?: ResponseChoice[];\n error?: string;\n};\n\nexport type ChatAppResponse = {\n message: string;\n};\n\nexport type SummaryResponse ={\n message: string;\n}\n\nexport type ChatAppRequestContext = {\n overrides?: ChatAppRequestOverrides;\n};\n\nexport type ChatAppRequest = {\n session_id: string;\n prompt: string;\n};\n\nexport type ClearChatAppRequest = {\n session_id: string; \n};\n\nexport type SummaryAppRequest = {\n session_id: string; \n};\n\nexport type Config = {\n showGPT4VOptions: boolean;\n};\n","import { renderToStaticMarkup } from \"react-dom/server\";\nimport { getCitationFilePath } from \"../../api\";\n\ntype HtmlParsedAnswer = {\n answerHtml: string;\n citations: string[];\n};\n\nexport function parseAnswerToHtml(answer: string, isStreaming: boolean, onCitationClicked: (citationFilePath: string) => void): HtmlParsedAnswer {\n const citations: string[] = [];\n\n // trim any whitespace from the end of the answer after removing follow-up questions\n let parsedAnswer = answer.trim();\n\n // Omit a citation that is still being typed during streaming\n if (isStreaming) {\n let lastIndex = parsedAnswer.length;\n for (let i = parsedAnswer.length - 1; i >= 0; i--) {\n if (parsedAnswer[i] === \"]\") {\n break;\n } else if (parsedAnswer[i] === \"[\") {\n lastIndex = i;\n break;\n }\n }\n const truncatedAnswer = parsedAnswer.substring(0, lastIndex);\n parsedAnswer = truncatedAnswer;\n }\n\n /* This parses out the citations, but for the dev guide we don't need this functionality currently.\n const parts = parsedAnswer.split(/\\[([^\\]]+)\\]/g);\n\n const fragments: string[] = parts.map((part, index) => {\n if (index % 2 === 0) {\n return part;\n } else {\n let citationIndex: number;\n if (citations.indexOf(part) !== -1) {\n citationIndex = citations.indexOf(part) + 1;\n } else {\n citations.push(part);\n citationIndex = citations.length;\n }\n\n const path = getCitationFilePath(part);\n\n return renderToStaticMarkup(\n onCitationClicked(path)}>\n {citationIndex}\n \n );\n }\n });\n */\n\n const fragments: string[] = [parsedAnswer];\n\n\n return {\n answerHtml: fragments.join(\"\"),\n citations\n };\n}\n","import { Sparkle28Filled } from \"@fluentui/react-icons\";\n\nexport const AnswerIcon = () => {\n return ;\n};\n","import { useMemo } from \"react\";\nimport { Stack, IconButton } from \"@fluentui/react\";\nimport DOMPurify from \"dompurify\";\n\nimport styles from \"./Answer.module.css\";\n\nimport { ChatAppResponse, getCitationFilePath } from \"../../api\";\nimport { parseAnswerToHtml } from \"./AnswerParser\";\nimport { AnswerIcon } from \"./AnswerIcon\";\n\ninterface Props {\n answer: ChatAppResponse;\n isSelected?: boolean;\n isStreaming: boolean;\n onCitationClicked: (filePath: string) => void;\n onThoughtProcessClicked: () => void;\n onSupportingContentClicked: () => void;\n onFollowupQuestionClicked?: (question: string) => void;\n showFollowupQuestions?: boolean;\n}\n\nexport const Answer = ({\n answer,\n isSelected,\n isStreaming,\n onCitationClicked,\n onThoughtProcessClicked,\n onSupportingContentClicked,\n onFollowupQuestionClicked,\n showFollowupQuestions\n}: Props) => {\n //const followupQuestions = answer.choices[0].context.followup_questions;\n const messageContent = answer.message; //answer.choices[0].message.content;\n const parsedAnswer = useMemo(() => parseAnswerToHtml(messageContent, isStreaming, onCitationClicked), [answer]);\n\n const sanitizedAnswerHtml = DOMPurify.sanitize(parsedAnswer.answerHtml).replace(/```json/g, \"
\").replace(/```/g, \"
\");\n\n return (\n \n \n \n \n
\n {/* onThoughtProcessClicked()}\n // disabled={!answer.choices[0].context.thoughts?.length}\n />\n onSupportingContentClicked()}\n // disabled={!answer.choices[0].context.data_points}\n /> */}\n
\n \n \n\n \n
\n \n\n {!!parsedAnswer.citations.length && (\n \n \n Citations:\n {parsedAnswer.citations.map((x, i) => {\n const path = getCitationFilePath(x);\n return (\n onCitationClicked(path)}>\n {`${++i}. ${x}`}\n \n );\n })}\n \n \n )}\n\n {/* {!!followupQuestions?.length && showFollowupQuestions && onFollowupQuestionClicked && (\n \n \n Follow-up questions:\n {followupQuestions.map((x, i) => {\n return (\n onFollowupQuestionClicked(x)}>\n {`${x}`}\n \n );\n })}\n \n \n )} */}\n \n );\n};\n","import { Stack } from \"@fluentui/react\";\nimport { animated, useSpring } from \"@react-spring/web\";\n\nimport styles from \"./Answer.module.css\";\nimport { AnswerIcon } from \"./AnswerIcon\";\n\nexport const AnswerLoading = () => {\n const animatedStyles = useSpring({\n from: { opacity: 0 },\n to: { opacity: 1 }\n });\n\n return (\n \n \n \n \n

\n Generating answer\n \n

\n \n \n \n );\n};\n","import { Stack, PrimaryButton } from \"@fluentui/react\";\nimport { ErrorCircle24Regular } from \"@fluentui/react-icons\";\n\nimport styles from \"./Answer.module.css\";\n\ninterface Props {\n error: string;\n onRetry: () => void;\n}\n\nexport const AnswerError = ({ error, onRetry }: Props) => {\n return (\n \n \n\n \n

An Error Occurred:

\n

{error}

\n \n\n \n \n );\n};\n","import { useEffect, useState } from \"react\";\nimport { useMsal } from \"@azure/msal-react\";\nimport { Stack, TextField } from \"@fluentui/react\";\nimport { Button, Tooltip, Field, Textarea } from \"@fluentui/react-components\";\nimport { Send28Filled } from \"@fluentui/react-icons\";\n\nimport styles from \"./QuestionInput.module.css\";\n\ninterface Props {\n onSend: (question: string) => void;\n disabled: boolean;\n initQuestion?: string;\n placeholder?: string;\n clearOnSend?: boolean;\n}\n\nexport const QuestionInput = ({ onSend, disabled, placeholder, clearOnSend, initQuestion }: Props) => {\n const [question, setQuestion] = useState(\"\");\n\n useEffect(() => {\n initQuestion && setQuestion(initQuestion);\n }, [initQuestion]);\n\n const sendQuestion = () => {\n if (disabled || !question.trim()) {\n return;\n }\n\n onSend(question);\n\n if (clearOnSend) {\n setQuestion(\"\");\n }\n };\n\n const onEnterPress = (ev: React.KeyboardEvent) => {\n if (ev.key === \"Enter\" && !ev.shiftKey) {\n ev.preventDefault();\n sendQuestion();\n }\n };\n\n const onQuestionChange = (_ev: React.FormEvent, newValue?: string) => {\n if (!newValue) {\n setQuestion(\"\");\n } else if (newValue.length <= 1000) {\n setQuestion(newValue);\n }\n };\n\n const { instance } = useMsal();\n const disableRequiredAccessControl = false; //requireAccessControl && !isLoggedIn(instance);\n const sendQuestionDisabled = disabled || !question.trim() || disableRequiredAccessControl;\n\n if (disableRequiredAccessControl) {\n placeholder = \"Please login to continue...\";\n }\n\n return (\n \n \n
\n \n
\n \n );\n};\n","import styles from \"./Example.module.css\";\n\ninterface Props {\n text: string;\n value: string;\n onClick: (value: string) => void;\n}\n\nexport const Example = ({ text, value, onClick }: Props) => {\n return (\n
onClick(value)}>\n

{text}

\n
\n );\n};\n","import { Example } from \"./Example\";\n\nimport styles from \"./Example.module.css\";\n\nconst DEFAULT_EXAMPLES: string[] = [\n \"What was the price of the product with sku `PH-TM30`?\",\n \"Can you compare the various TV packages available?\",\n \"Could you list the products available in the Mobile Phone category that are priced under 500 euros?\"\n];\n\nconst GPT4V_EXAMPLES: string[] = [\n \"Compare the impact of interest rates and GDP in financial markets.\",\n \"What is the expected trend for the S&P 500 index over the next five years? Compare it to the past S&P 500 performance\",\n \"Can you identify any correlation between oil prices and stock market trends?\"\n];\n\ninterface Props {\n onExampleClicked: (value: string) => void;\n useGPT4V?: boolean;\n}\n\nexport const ExampleList = ({ onExampleClicked, useGPT4V }: Props) => {\n return (\n
    \n {(useGPT4V ? GPT4V_EXAMPLES : DEFAULT_EXAMPLES).map((question, i) => (\n
  • \n \n
    • \n ))}\n
\n );\n};\n","import styles from \"./UserChatMessage.module.css\";\n\ninterface Props {\n message: string;\n}\n\nexport const UserChatMessage = ({ message }: Props) => {\n return (\n
\n
{message}
\n
\n );\n};\n","import { Delete24Regular } from \"@fluentui/react-icons\";\nimport { Button } from \"@fluentui/react-components\";\n\nimport styles from \"./ClearChatButton.module.css\";\n\ninterface Props {\n className?: string;\n onClick: () => void;\n disabled?: boolean;\n}\n\nexport const ClearChatButton = ({ className, disabled, onClick }: Props) => {\n return (\n
\n \n
\n );\n};\n","import { useEffect, useState } from \"react\";\nimport { ChoiceGroup, IChoiceGroupOption, Stack, IDropdownOption, Dropdown } from \"@fluentui/react\";\n\nimport styles from \"./VectorSettings.module.css\";\nimport { RetrievalMode, VectorFieldOptions } from \"../../api\";\n\ninterface Props {\n showImageOptions?: boolean;\n updateRetrievalMode: (retrievalMode: RetrievalMode) => void;\n updateVectorFields: (options: VectorFieldOptions[]) => void;\n}\n\nconst vectorFields: IChoiceGroupOption[] = [\n {\n key: VectorFieldOptions.Embedding,\n text: \"Text Embeddings\"\n },\n {\n key: VectorFieldOptions.ImageEmbedding,\n text: \"Image Embeddings\"\n },\n {\n key: VectorFieldOptions.Both,\n text: \"Text and Image embeddings\"\n }\n];\n\nexport const VectorSettings = ({ updateRetrievalMode, updateVectorFields, showImageOptions }: Props) => {\n const [retrievalMode, setRetrievalMode] = useState(RetrievalMode.Hybrid);\n const [vectorFieldOption, setVectorFieldOption] = useState();\n\n const onVectorFieldsChange = (_ev?: React.FormEvent, option?: IChoiceGroupOption) => {\n option && setVectorFieldOption(option.key);\n let list;\n if (option?.key === \"both\") {\n list = [VectorFieldOptions.Embedding, VectorFieldOptions.ImageEmbedding];\n } else {\n list = [option?.key as VectorFieldOptions];\n }\n updateVectorFields(list);\n };\n\n useEffect(() => {\n showImageOptions\n ? updateVectorFields([VectorFieldOptions.Embedding, VectorFieldOptions.ImageEmbedding])\n : updateVectorFields([VectorFieldOptions.Embedding]);\n }, [showImageOptions]);\n\n return (\n \n {showImageOptions && [RetrievalMode.Vectors, RetrievalMode.Hybrid].includes(retrievalMode) && (\n \n )}\n \n );\n};\n","import { useRef, useState, useEffect } from \"react\";\nimport { Checkbox, Panel, DefaultButton, TextField, SpinButton } from \"@fluentui/react\";\nimport { SparkleFilled } from \"@fluentui/react-icons\";\nimport readNDJSONStream from \"ndjson-readablestream\";\nimport { v4 as uuidv4 } from 'uuid';\n\n\nimport styles from \"./Chat.module.css\";\n\nimport {\n chatApi,\n clearChatApi,\n RetrievalMode,\n ChatAppResponse,\n ChatAppResponseOrError,\n ChatAppRequest,\n ClearChatAppRequest,\n ResponseMessage,\n VectorFieldOptions,\n GPT4VInput\n} from \"../../api\";\nimport { Answer, AnswerError, AnswerLoading } from \"../../components/Answer\";\nimport { QuestionInput } from \"../../components/QuestionInput\";\nimport { ExampleList } from \"../../components/Example\";\nimport { UserChatMessage } from \"../../components/UserChatMessage\";\nimport { ClearChatButton } from \"../../components/ClearChatButton\";\nimport { VectorSettings } from \"../../components/VectorSettings\";\n//import { useMsal } from \"@azure/msal-react\";\n\nconst Chat = () => {\n const [isConfigPanelOpen, setIsConfigPanelOpen] = useState(false);\n const [promptTemplate, setPromptTemplate] = useState(\"\");\n const [retrieveCount, setRetrieveCount] = useState(3);\n const [retrievalMode, setRetrievalMode] = useState(RetrievalMode.Hybrid);\n const [useSemanticRanker, setUseSemanticRanker] = useState(true);\n const [shouldStream, setShouldStream] = useState(true);\n const [useSemanticCaptions, setUseSemanticCaptions] = useState(false);\n const [excludeCategory, setExcludeCategory] = useState(\"\");\n const [useSuggestFollowupQuestions, setUseSuggestFollowupQuestions] = useState(false);\n const [vectorFieldList, setVectorFieldList] = useState([VectorFieldOptions.Embedding]);\n const [useOidSecurityFilter, setUseOidSecurityFilter] = useState(false);\n const [useGroupsSecurityFilter, setUseGroupsSecurityFilter] = useState(false);\n const [gpt4vInput, setGPT4VInput] = useState(GPT4VInput.TextAndImages);\n const [useGPT4V, setUseGPT4V] = useState(false);\n\n const lastQuestionRef = useRef(\"\");\n const chatMessageStreamEnd = useRef(null);\n\n const [isLoading, setIsLoading] = useState(false);\n const [isStreaming, setIsStreaming] = useState(false);\n const [error, setError] = useState();\n\n const [activeCitation, setActiveCitation] = useState();\n\n const [selectedAnswer, setSelectedAnswer] = useState(0);\n const [answers, setAnswers] = useState<[user: string, response: ChatAppResponse][]>([]);\n const [showGPT4VOptions, setShowGPT4VOptions] = useState(false);\n const [sessionId, setSessionId] = useState(uuidv4());\n\n\n const makeApiRequest = async (question: string) => {\n lastQuestionRef.current = question;\n\n error && setError(undefined);\n setIsLoading(true);\n setActiveCitation(undefined);\n\n try {\n const request: ChatAppRequest = {\n prompt: question,\n session_id: sessionId \n };\n\n const response = await chatApi(request);\n const contentType = response.headers.get(\"content-type\");\n if (!response.body) {\n throw Error(\"No response body\");\n } else if (contentType?.indexOf('text/html') !== -1 || contentType?.indexOf('text/plain') !== -1) {\n const bodyText = await response.text();\n console.error(`Chat Error: ${bodyText}`);\n setError(bodyText);\n } else {\n const parsedResponse: ChatAppResponse = await response.json();\n setAnswers([...answers, [question, parsedResponse]]);\n }\n // if (shouldStream) {\n // const parsedResponse: ChatAppResponse = await handleAsyncRequest(question, answers, setAnswers, response.body);\n // setAnswers([...answers, [question, parsedResponse]]);\n // } else {\n // const parsedResponse: ChatAppResponseOrError = await response.json();\n // if (response.status > 299 || !response.ok) {\n // throw Error(parsedResponse.error || \"Unknown error\");\n // }\n // setAnswers([...answers, [question, parsedResponse as ChatAppResponse]]);\n // }\n } catch (e) {\n console.error(`Chat Error: ${e}`);\n setError(e);\n } finally {\n setIsLoading(false);\n }\n };\n const clearChat = async () => {\n try {\n const request: ClearChatAppRequest = { \n session_id: sessionId \n };\n const response = await clearChatApi(request);\n if (!response.ok) {\n throw new Error(\"Failed to clear chat\");\n }\n // Clear the chat state\n lastQuestionRef.current = \"\";\n error && setError(undefined);\n setActiveCitation(undefined);\n setAnswers([]);\n setIsLoading(false);\n setIsStreaming(false);\n } catch (e) {\n console.error(`Clear Chat Error: ${e}`);\n setError(e);\n }\n };\n\n useEffect(() => chatMessageStreamEnd.current?.scrollIntoView({ behavior: \"smooth\" }), [isLoading]);\n //useEffect(() => chatMessageStreamEnd.current?.scrollIntoView({ behavior: \"auto\" }), [streamedAnswers]);\n // useEffect(() => {\n // getConfig();\n // }, []);\n\n const onPromptTemplateChange = (_ev?: React.FormEvent, newValue?: string) => {\n setPromptTemplate(newValue || \"\");\n };\n\n const onRetrieveCountChange = (_ev?: React.SyntheticEvent, newValue?: string) => {\n setRetrieveCount(parseInt(newValue || \"3\"));\n };\n\n const onUseSemanticRankerChange = (_ev?: React.FormEvent, checked?: boolean) => {\n setUseSemanticRanker(!!checked);\n };\n\n const onUseSemanticCaptionsChange = (_ev?: React.FormEvent, checked?: boolean) => {\n setUseSemanticCaptions(!!checked);\n };\n\n const onShouldStreamChange = (_ev?: React.FormEvent, checked?: boolean) => {\n setShouldStream(!!checked);\n };\n\n const onExcludeCategoryChanged = (_ev?: React.FormEvent, newValue?: string) => {\n setExcludeCategory(newValue || \"\");\n };\n\n const onUseSuggestFollowupQuestionsChange = (_ev?: React.FormEvent, checked?: boolean) => {\n setUseSuggestFollowupQuestions(!!checked);\n };\n\n const onUseOidSecurityFilterChange = (_ev?: React.FormEvent, checked?: boolean) => {\n setUseOidSecurityFilter(!!checked);\n };\n\n const onUseGroupsSecurityFilterChange = (_ev?: React.FormEvent, checked?: boolean) => {\n setUseGroupsSecurityFilter(!!checked);\n };\n\n const onExampleClicked = (example: string) => {\n makeApiRequest(example);\n };\n\n const onShowCitation = (citation: string, index: number) => {\n // if (activeCitation === citation && activeAnalysisPanelTab === AnalysisPanelTabs.CitationTab && selectedAnswer === index) {\n // setActiveAnalysisPanelTab(undefined);\n // } else {\n setActiveCitation(citation);\n // setActiveAnalysisPanelTab(AnalysisPanelTabs.CitationTab);\n //}\n\n setSelectedAnswer(index);\n };\n\n return (\n
\n
\n \n
\n
\n
\n {!lastQuestionRef.current ? (\n
\n
\n \"\"\n
\n

Customer Support

\n

Empowering Connections: Your Premier Deutsche Telekom Support Hub

\n \n
\n ) : (\n
\n {/* {isStreaming &&\n streamedAnswers.map((streamedAnswer, index) => (\n
\n \n
\n onShowCitation(c, index)}\n onThoughtProcessClicked={() => onToggleTab(AnalysisPanelTabs.ThoughtProcessTab, index)}\n onSupportingContentClicked={() => onToggleTab(AnalysisPanelTabs.SupportingContentTab, index)}\n onFollowupQuestionClicked={q => makeApiRequest(q)}\n showFollowupQuestions={useSuggestFollowupQuestions && answers.length - 1 === index}\n />\n
\n
\n ))} */}\n {!isStreaming &&\n answers.map((answer, index) => (\n
\n \n
\n onShowCitation(c, index)}\n onThoughtProcessClicked={() => {}} // {() => onToggleTab(AnalysisPanelTabs.ThoughtProcessTab, index)}\n onSupportingContentClicked={() => {}} // {() => onToggleTab(AnalysisPanelTabs.SupportingContentTab, index)}\n onFollowupQuestionClicked={q => makeApiRequest(q)}\n showFollowupQuestions={useSuggestFollowupQuestions && answers.length - 1 === index}\n />\n
\n
\n ))}\n {isLoading && (\n <>\n \n
\n \n
\n \n )}\n {error ? (\n <>\n \n
\n makeApiRequest(lastQuestionRef.current)} />\n
\n \n ) : null}\n
\n
\n )}\n\n
\n makeApiRequest(question)}\n />\n
\n
\n\n setIsConfigPanelOpen(false)}\n closeButtonAriaLabel=\"Close\"\n onRenderFooterContent={() => setIsConfigPanelOpen(false)}>Close}\n isFooterAtBottom={true}\n >\n \n\n \n \n \n \n \n\n setVectorFieldList(options)}\n updateRetrievalMode={(retrievalMode: RetrievalMode) => setRetrievalMode(retrievalMode)}\n />\n\n \n \n
\n
\n );\n};\n\nexport default Chat;\n","import React, { useEffect, useState } from 'react';\nimport Chat from '../chat/Chat';\nimport styles from './Agent.module.css';\nimport { SummaryAppRequest, SummaryResponse, fetchSummary } from '../../api';\nimport { useParams } from 'react-router-dom';\n\n\nconst AgentView = () => {\n const [summary, setSummary] = useState('');\n const { sessionId } = useParams<{ sessionId: any }>(); \n\n useEffect(() => {\n \n const getSummary = async () => {\n const request: SummaryAppRequest = { \n session_id: sessionId\n };\n\n const response = await fetchSummary(request); \n const contentType = response.headers.get(\"content-type\");\n if (!response.body) {\n throw Error(\"No response body\");\n } else if (contentType?.indexOf('text/html') !== -1 || contentType?.indexOf('text/plain') !== -1) {\n const bodyText = await response.text();\n console.error(`Chat Error: ${bodyText}`); \n }else {\n const parsedResponse: SummaryResponse = await response.json();\n const summaryData= parsedResponse.message;\n if (summaryData && Object.keys(summaryData).length > 0) { \n setSummary(summaryData);\n }\n }\n \n };\n\n getSummary();\n }, [sessionId]);\n\n return (\n
\n
\n \n
\n
\n \n {summary && Object.keys(summary).length > 0 && (\n <>\n

Conversation Summary

\n 
{summary}
{/* Using 
 to preserve newlines */}\n                    \n                )}\n
\n
\n );\n};\n\nexport default AgentView;\n","import React from \"react\";\nimport ReactDOM from \"react-dom/client\";\nimport { createHashRouter, RouterProvider } from \"react-router-dom\";\nimport { initializeIcons } from \"@fluentui/react\";\nimport { MsalProvider } from \"@azure/msal-react\";\n\nimport \"./index.css\";\n\nimport Layout from \"./pages/layout/Layout\";\nimport Chat from \"./pages/chat/Chat\";\nimport AgentView from \"./pages/agent/Agent\";\n\nvar layout;\n\nlayout = ;\n\ninitializeIcons();\n\nconst router = createHashRouter([\n {\n path: \"/\",\n element: layout,\n children: [\n {\n index: true,\n element: \n },\n {\n path: \"agent/:sessionId\",\n element: \n },\n {\n path: \"*\",\n lazy: () => import(\"./pages/NoPage\")\n }\n ]\n }\n]);\n\nReactDOM.createRoot(document.getElementById(\"root\") as HTMLElement).render(\n \n \n \n);\n"],"file":"assets/index-7fbd1275.js"}