From 8e39083d8cae03bde4612e4f729f0be4f8b3071b Mon Sep 17 00:00:00 2001 From: Eric Ciarla Date: Fri, 21 Jun 2024 15:40:46 -0400 Subject: [PATCH] Update examples section --- ...-data-contradiction-testing-using-llms.mdx | 0 .../local-website-chatbot/.env.local.example | 11 + .../local-website-chatbot}/.eslintrc.json | 0 .../local-website-chatbot/.gitignore | 38 + .../local-website-chatbot/.prettierrc.json | 1 + .../local-website-chatbot/LICENSE | 21 + .../local-website-chatbot/LICENSE.md | 7 + .../local-website-chatbot/README.md | 72 + .../local-website-chatbot/app/globals.css | 74 + .../local-website-chatbot/app/layout.tsx | 49 + .../local-website-chatbot/app/page.tsx | 7 + .../local-website-chatbot/app/worker.ts | 232 + .../components/ChatMessageBubble.tsx | 125 + .../components/ChatWindow.tsx | 422 ++ .../components/Navbar.tsx | 16 + .../local-website-chatbot/next.config.js | 39 + .../local-website-chatbot/package.json | 47 + .../local-website-chatbot/postcss.config.js | 6 + 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.../cluster-install}/redis.yaml | 0 .../cluster-install}/secret.yaml | 0 .../cluster-install}/worker.yaml | 0 .../.env.template | 11 + .../.prettierignore | 2 + .../README.md | 31 + .../airbnb_listings.json | 453 ++ .../airbnb_prices_chart.png | Bin 0 -> 20279 bytes .../codeInterpreter.ts | 26 + .../index.ts | 118 + .../model.ts | 33 + .../package-lock.json | 1035 +++ .../package.json | 26 + .../prettier.config.mjs | 11 + .../scraping.ts | 98 + .../claude-visualize-website-topics.ipynb | 277 + .../web-data-extraction-using-llms.mdx | 0 .../web-data-rag--with-llama3.mdx | 0 87 files changed, 8939 insertions(+) rename examples/{ => contradiction_testing}/web-data-contradiction-testing-using-llms.mdx (100%) create mode 100644 examples/example_web_apps/local-website-chatbot/.env.local.example rename examples/{roastmywebsite-example-app => example_web_apps/local-website-chatbot}/.eslintrc.json (100%) create mode 100644 examples/example_web_apps/local-website-chatbot/.gitignore create mode 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kubernetes/cluster-install}/configmap.yaml (100%) rename examples/{kubernetes-cluster-install => kubernetes/cluster-install}/playwright-service.yaml (100%) rename examples/{kubernetes-cluster-install => kubernetes/cluster-install}/redis.yaml (100%) rename examples/{kubernetes-cluster-install => kubernetes/cluster-install}/secret.yaml (100%) rename examples/{kubernetes-cluster-install => kubernetes/cluster-install}/worker.yaml (100%) create mode 100644 examples/scrape_and_analyze_airbnb_data_e2b/.env.template create mode 100644 examples/scrape_and_analyze_airbnb_data_e2b/.prettierignore create mode 100644 examples/scrape_and_analyze_airbnb_data_e2b/README.md create mode 100644 examples/scrape_and_analyze_airbnb_data_e2b/airbnb_listings.json create mode 100644 examples/scrape_and_analyze_airbnb_data_e2b/airbnb_prices_chart.png create mode 100644 examples/scrape_and_analyze_airbnb_data_e2b/codeInterpreter.ts create mode 100644 examples/scrape_and_analyze_airbnb_data_e2b/index.ts create mode 100644 examples/scrape_and_analyze_airbnb_data_e2b/model.ts create mode 100644 examples/scrape_and_analyze_airbnb_data_e2b/package-lock.json create mode 100644 examples/scrape_and_analyze_airbnb_data_e2b/package.json create mode 100644 examples/scrape_and_analyze_airbnb_data_e2b/prettier.config.mjs create mode 100644 examples/scrape_and_analyze_airbnb_data_e2b/scraping.ts create mode 100644 examples/visualize_website_topics_e2b/claude-visualize-website-topics.ipynb rename examples/{ => web_data_extraction}/web-data-extraction-using-llms.mdx (100%) rename examples/{ => web_data_rag_with_llama3}/web-data-rag--with-llama3.mdx (100%) diff --git a/examples/web-data-contradiction-testing-using-llms.mdx b/examples/contradiction_testing/web-data-contradiction-testing-using-llms.mdx similarity index 100% rename from examples/web-data-contradiction-testing-using-llms.mdx rename to examples/contradiction_testing/web-data-contradiction-testing-using-llms.mdx diff --git a/examples/example_web_apps/local-website-chatbot/.env.local.example b/examples/example_web_apps/local-website-chatbot/.env.local.example new file mode 100644 index 00000000..3aad1da9 --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/.env.local.example @@ -0,0 +1,11 @@ +# Required environment variables +FIRECRAWL_API_KEY= + +# Optional environment variables +# LangSmith tracing from the web worker. +# WARNING: FOR DEVELOPMENT ONLY. DO NOT DEPLOY A LIVE VERSION WITH THESE +# VARIABLES SET AS YOU WILL LEAK YOUR LANGCHAIN API KEY. +NEXT_PUBLIC_LANGCHAIN_TRACING_V2= +NEXT_PUBLIC_LANGCHAIN_API_KEY= +NEXT_PUBLIC_LANGCHAIN_PROJECT= + diff --git a/examples/roastmywebsite-example-app/.eslintrc.json b/examples/example_web_apps/local-website-chatbot/.eslintrc.json similarity index 100% rename from examples/roastmywebsite-example-app/.eslintrc.json rename to examples/example_web_apps/local-website-chatbot/.eslintrc.json diff --git a/examples/example_web_apps/local-website-chatbot/.gitignore b/examples/example_web_apps/local-website-chatbot/.gitignore new file mode 100644 index 00000000..fcea1de2 --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/.gitignore @@ -0,0 +1,38 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# local env files +.env*.local +.env + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts + +.yarn diff --git a/examples/example_web_apps/local-website-chatbot/.prettierrc.json b/examples/example_web_apps/local-website-chatbot/.prettierrc.json new file mode 100644 index 00000000..0967ef42 --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/.prettierrc.json @@ -0,0 +1 @@ +{} diff --git a/examples/example_web_apps/local-website-chatbot/LICENSE b/examples/example_web_apps/local-website-chatbot/LICENSE new file mode 100644 index 00000000..8bc18831 --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2023 Jacob Lee + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/examples/example_web_apps/local-website-chatbot/LICENSE.md b/examples/example_web_apps/local-website-chatbot/LICENSE.md new file mode 100644 index 00000000..2942df20 --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/LICENSE.md @@ -0,0 +1,7 @@ +Copyright + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. diff --git a/examples/example_web_apps/local-website-chatbot/README.md b/examples/example_web_apps/local-website-chatbot/README.md new file mode 100644 index 00000000..7d0bca05 --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/README.md @@ -0,0 +1,72 @@ +# Local Chat With Websites + +Welcome to the Local Web Chatbot! This is a direct fork of [Jacob Lee' fully local PDF chatbot](https://github.com/jacoblee93/fully-local-pdf-chatbot) replacing the chat with PDF functionality with chat with website support powered by [Firecrawl](https://www.firecrawl.dev/). It is a simple chatbot that allows you to ask questions about a website by embedding it and running queries against the vector store using a local LLM and embeddings. + +## 🦙 Ollama + +You can run more powerful, general models outside the browser using [Ollama's desktop app](https://ollama.ai). Users will need to download and set up then run the following commands to allow the site access to a locally running Mistral instance: + +### Mac/Linux + +```bash +$ OLLAMA_ORIGINS=https://webml-demo.vercel.app OLLAMA_HOST=127.0.0.1:11435 ollama serve +``` + +Then, in another terminal window: + +```bash +$ OLLAMA_HOST=127.0.0.1:11435 ollama pull mistral +``` + +### Windows + +```cmd +$ set OLLAMA_ORIGINS=https://webml-demo.vercel.app +set OLLAMA_HOST=127.0.0.1:11435 +ollama serve +``` + +Then, in another terminal window: + +```cmd +$ set OLLAMA_HOST=127.0.0.1:11435 +ollama pull mistral +``` + +## 🔥 Firecrawl + +Additionally, you will need a Firecrawl API key for website embedding. Signing up for [Firecrawl](https://www.firecrawl.dev/) is easy and you get 500 credits free. Enter your API key into the box below the URL in the embedding form. + +## ⚡ Stack + +It uses the following: + +- [Voy](https://github.com/tantaraio/voy) as the vector store, fully WASM in the browser. +- [Ollama](https://ollama.ai/). +- [LangChain.js](https://js.langchain.com) to call the models, perform retrieval, and generally orchestrate all the pieces. +- [Transformers.js](https://huggingface.co/docs/transformers.js/index) to run open source [Nomic](https://www.nomic.ai/) embeddings in the browser. + - For higher-quality embeddings, switch to `"nomic-ai/nomic-embed-text-v1"` in `app/worker.ts`. +- [Firecrawl](https://www.firecrawl.dev/) to scrape the webpages and deliver them in markdown format. + +## 🔱 Forking + +To run/deploy this yourself, simply fork this repo and install the required dependencies with `yarn`. + +There are no required environment variables, but you can optionally set up [LangSmith tracing](https://smith.langchain.com/) while developing locally to help debug the prompts and the chain. Copy the `.env.example` file into a `.env.local` file: + +```ini +# No environment variables required! + +# LangSmith tracing from the web worker. +# WARNING: FOR DEVELOPMENT ONLY. DO NOT DEPLOY A LIVE VERSION WITH THESE +# VARIABLES SET AS YOU WILL LEAK YOUR LANGCHAIN API KEY. +NEXT_PUBLIC_LANGCHAIN_TRACING_V2="true" +NEXT_PUBLIC_LANGCHAIN_API_KEY= +NEXT_PUBLIC_LANGCHAIN_PROJECT= +``` + +Just make sure you don't set this in production, as your LangChain API key will be public on the frontend! + +## 🙏 Thank you! + +Huge thanks to Jacob Lee and the other contributors of the repo for making this happen! Be sure to give him a follow on Twitter [@Hacubu](https://x.com/hacubu)! diff --git a/examples/example_web_apps/local-website-chatbot/app/globals.css b/examples/example_web_apps/local-website-chatbot/app/globals.css new file mode 100644 index 00000000..eb6619f1 --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/app/globals.css @@ -0,0 +1,74 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +body { + color: #f8f8f8; + background: #131318; +} + +body input, +body textarea { + color: black; +} + +a { + color: #5ba4f8; +} + +a:hover { + border-bottom: 1px solid; +} + +p { + margin: 8px 0; +} + +code, +pre { + color: #ffa500; +} + +pre { + background-color: black; + color: #39ff14; +} + +li { + padding: 4px; +} + +@layer base { + label { + @apply h-6 relative inline-block; + } + + [type="checkbox"] { + @apply w-11 h-0 cursor-pointer inline-block; + @apply focus:outline-0 dark:focus:outline-0; + @apply border-0 dark:border-0; + @apply focus:ring-offset-transparent dark:focus:ring-offset-transparent; + @apply focus:ring-transparent dark:focus:ring-transparent; + @apply focus-within:ring-0 dark:focus-within:ring-0; + @apply focus:shadow-none dark:focus:shadow-none; + + @apply after:absolute before:absolute; + @apply after:top-0 before:top-0; + @apply after:block before:inline-block; + @apply before:rounded-full after:rounded-full; + + @apply after:content-[''] after:w-5 after:h-5 after:mt-0.5 after:ml-0.5; + @apply after:shadow-md after:duration-100; + + @apply before:content-[''] before:w-10 before:h-full; + @apply before:shadow-[inset_0_0_#000]; + + @apply after:bg-white dark:after:bg-gray-50; + @apply before:bg-gray-300 dark:before:bg-gray-600; + @apply before:checked:bg-lime-500 dark:before:checked:bg-lime-500; + @apply checked:after:duration-300 checked:after:translate-x-4; + + @apply disabled:after:bg-opacity-75 disabled:cursor-not-allowed; + @apply disabled:checked:before:bg-opacity-40; + } +} diff --git a/examples/example_web_apps/local-website-chatbot/app/layout.tsx b/examples/example_web_apps/local-website-chatbot/app/layout.tsx new file mode 100644 index 00000000..3476d56d --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/app/layout.tsx @@ -0,0 +1,49 @@ +import "./globals.css"; +import { Public_Sans } from "next/font/google"; + +import { Navbar } from "@/components/Navbar"; + +const publicSans = Public_Sans({ subsets: ["latin"] }); + +export default function RootLayout({ + children, +}: { + children: React.ReactNode; +}) { + return ( + + + Fully In-Browser Chat Over Documents + + + + + + + + + + + + + +
{children}
+ + + ); +} diff --git a/examples/example_web_apps/local-website-chatbot/app/page.tsx b/examples/example_web_apps/local-website-chatbot/app/page.tsx new file mode 100644 index 00000000..ba8529c8 --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/app/page.tsx @@ -0,0 +1,7 @@ +import { ChatWindow } from "@/components/ChatWindow"; + +export default function Home() { + return ( + + ); +} diff --git a/examples/example_web_apps/local-website-chatbot/app/worker.ts b/examples/example_web_apps/local-website-chatbot/app/worker.ts new file mode 100644 index 00000000..50e5f3f0 --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/app/worker.ts @@ -0,0 +1,232 @@ +import { ChatWindowMessage } from "@/schema/ChatWindowMessage"; + +import { Voy as VoyClient } from "voy-search"; + +import { createRetrievalChain } from "langchain/chains/retrieval"; +import { createStuffDocumentsChain } from "langchain/chains/combine_documents"; +import { createHistoryAwareRetriever } from "langchain/chains/history_aware_retriever"; + +import { FireCrawlLoader } from "@langchain/community/document_loaders/web/firecrawl"; + +import { HuggingFaceTransformersEmbeddings } from "@langchain/community/embeddings/hf_transformers"; +import { VoyVectorStore } from "@langchain/community/vectorstores/voy"; +import { + ChatPromptTemplate, + MessagesPlaceholder, + PromptTemplate, +} from "@langchain/core/prompts"; +import { RunnableSequence, RunnablePick } from "@langchain/core/runnables"; +import { + AIMessage, + type BaseMessage, + HumanMessage, +} from "@langchain/core/messages"; +import { RecursiveCharacterTextSplitter } from "langchain/text_splitter"; +import type { BaseChatModel } from "@langchain/core/language_models/chat_models"; +import type { LanguageModelLike } from "@langchain/core/language_models/base"; + +import { LangChainTracer } from "@langchain/core/tracers/tracer_langchain"; +import { Client } from "langsmith"; + +import { ChatOllama } from "@langchain/community/chat_models/ollama"; + +const embeddings = new HuggingFaceTransformersEmbeddings({ + modelName: "Xenova/all-MiniLM-L6-v2", +}); + +const voyClient = new VoyClient(); +const vectorstore = new VoyVectorStore(voyClient, embeddings); + +const OLLAMA_RESPONSE_SYSTEM_TEMPLATE = `You are an experienced researcher, expert at interpreting and answering questions based on provided sources. Using the provided context, answer the user's question to the best of your ability using the resources provided. +Generate a concise answer for a given question based solely on the provided search results. You must only use information from the provided search results. Use an unbiased and journalistic tone. Combine search results together into a coherent answer. Do not repeat text. +If there is nothing in the context relevant to the question at hand, just say "Hmm, I'm not sure." Don't try to make up an answer. +Anything between the following \`context\` html blocks is retrieved from a knowledge bank, not part of the conversation with the user. + +{context} + + +REMEMBER: If there is no relevant information within the context, just say "Hmm, I'm not sure." Don't try to make up an answer. Anything between the preceding 'context' html blocks is retrieved from a knowledge bank, not part of the conversation with the user.`; + +const _formatChatHistoryAsMessages = async ( + chatHistory: ChatWindowMessage[], +) => { + return chatHistory.map((chatMessage) => { + if (chatMessage.role === "human") { + return new HumanMessage(chatMessage.content); + } else { + return new AIMessage(chatMessage.content); + } + }); +}; + +const embedWebsite = async (url: string, firecrawlApiKey: string) => { + + const webLoader = new FireCrawlLoader({ + url: url, + apiKey: firecrawlApiKey, + mode: "scrape", + }); + + const docs = await webLoader.load(); + + const splitter = new RecursiveCharacterTextSplitter({ + chunkSize: 500, + chunkOverlap: 50, + }); + + const splitDocs = await splitter.splitDocuments(docs); + + self.postMessage({ + type: "log", + data: splitDocs, + }); + + await vectorstore.addDocuments(splitDocs); +}; + +const queryVectorStore = async ( + messages: ChatWindowMessage[], + { + chatModel, + modelProvider, + devModeTracer, + }: { + chatModel: LanguageModelLike; + modelProvider: "ollama"; + devModeTracer?: LangChainTracer; + }, +) => { + const text = messages[messages.length - 1].content; + const chatHistory = await _formatChatHistoryAsMessages(messages.slice(0, -1)); + + const responseChainPrompt = ChatPromptTemplate.fromMessages<{ + context: string; + chat_history: BaseMessage[]; + question: string; + }>([ + ["system", OLLAMA_RESPONSE_SYSTEM_TEMPLATE], + new MessagesPlaceholder("chat_history"), + ["user", `{input}`], + ]); + + const documentChain = await createStuffDocumentsChain({ + llm: chatModel, + prompt: responseChainPrompt, + documentPrompt: PromptTemplate.fromTemplate( + `\n{page_content}\n`, + ), + }); + + const historyAwarePrompt = ChatPromptTemplate.fromMessages([ + new MessagesPlaceholder("chat_history"), + ["user", "{input}"], + [ + "user", + "Given the above conversation, generate a natural language search query to look up in order to get information relevant to the conversation. Do not respond with anything except the query.", + ], + ]); + + const historyAwareRetrieverChain = await createHistoryAwareRetriever({ + llm: chatModel, + retriever: vectorstore.asRetriever(), + rephrasePrompt: historyAwarePrompt, + }); + + const retrievalChain = await createRetrievalChain({ + combineDocsChain: documentChain, + retriever: historyAwareRetrieverChain, + }); + + const fullChain = RunnableSequence.from([ + retrievalChain, + new RunnablePick("answer"), + ]); + + const stream = await fullChain.stream( + { + input: text, + chat_history: chatHistory, + }, + { + callbacks: devModeTracer !== undefined ? [devModeTracer] : [], + }, + ); + + for await (const chunk of stream) { + if (chunk) { + self.postMessage({ + type: "chunk", + data: chunk, + }); + } + } + + self.postMessage({ + type: "complete", + data: "OK", + }); +}; + +// Listen for messages from the main thread +self.addEventListener("message", async (event: { data: any }) => { + self.postMessage({ + type: "log", + data: `Received data!`, + }); + + let devModeTracer; + if ( + event.data.DEV_LANGCHAIN_TRACING !== undefined && + typeof event.data.DEV_LANGCHAIN_TRACING === "object" + ) { + devModeTracer = new LangChainTracer({ + projectName: event.data.DEV_LANGCHAIN_TRACING.LANGCHAIN_PROJECT, + client: new Client({ + apiKey: event.data.DEV_LANGCHAIN_TRACING.LANGCHAIN_API_KEY, + }), + }); + } + + if (event.data.url) { + try { + self.postMessage({ + type: "log", + data: `Embedding website now: ${event.data.url} with Firecrawl API Key: ${event.data.firecrawlApiKey}`, + }); + await embedWebsite(event.data.url, event.data.firecrawlApiKey); + self.postMessage({ + type: "log", + data: `Embedded website: ${event.data.url} complete`, + }); + } catch (e: any) { + self.postMessage({ + type: "error", + error: e.message, + }); + throw e; + } + } else { + const modelProvider = event.data.modelProvider; + const modelConfig = event.data.modelConfig; + let chatModel: BaseChatModel | LanguageModelLike; + chatModel = new ChatOllama(modelConfig); + try { + await queryVectorStore(event.data.messages, { + devModeTracer, + modelProvider, + chatModel, + }); + } catch (e: any) { + self.postMessage({ + type: "error", + error: `${e.message}. Make sure you are running Ollama.`, + }); + throw e; + } + } + + self.postMessage({ + type: "complete", + data: "OK", + }); +}); diff --git a/examples/example_web_apps/local-website-chatbot/components/ChatMessageBubble.tsx b/examples/example_web_apps/local-website-chatbot/components/ChatMessageBubble.tsx new file mode 100644 index 00000000..38935bd5 --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/components/ChatMessageBubble.tsx @@ -0,0 +1,125 @@ +"use client"; + +import { toast } from 'react-toastify'; +import 'react-toastify/dist/ReactToastify.css'; + +import { ChatWindowMessage } from '@/schema/ChatWindowMessage'; + +import { useState, type FormEvent } from "react"; +import { Feedback } from 'langsmith'; + +export function ChatMessageBubble(props: { + message: ChatWindowMessage; + aiEmoji?: string; + onRemovePressed?: () => void; +}) { + const { role, content, runId } = props.message; + + const colorClassName = + role === "human" ? "bg-sky-600" : "bg-slate-50 text-black"; + const alignmentClassName = + role === "human" ? "ml-auto" : "mr-auto"; + const prefix = role === "human" ? "🧑" : props.aiEmoji; + + const [isLoading, setIsLoading] = useState(false); + const [feedback, setFeedback] = useState(null); + const [comment, setComment] = useState(""); + const [showCommentForm, setShowCommentForm] = useState(false); + + async function handleScoreButtonPress(e: React.MouseEvent, score: number) { + e.preventDefault(); + setComment(""); + await sendFeedback(score); + } + + async function handleCommentSubmission(e: FormEvent) { + e.preventDefault(); + const score = typeof feedback?.score === "number" ? feedback.score : 0; + await sendFeedback(score); + } + + async function sendFeedback(score: number) { + if (isLoading) { + return; + } + + setIsLoading(true); + + const response = await fetch("api/feedback", { + method: feedback?.id ? "PUT" : "POST", + body: JSON.stringify({ + id: feedback?.id, + run_id: runId, + score, + comment, + }) + }); + + const json = await response.json(); + + if (json.error) { + toast(json.error, { + theme: "dark" + }); + return; + } else if (feedback?.id && comment) { + toast("Response recorded! Go to https://smith.langchain.com and check it out in under your run's \"Feedback\" pane.", { + theme: "dark", + autoClose: 3000, + }); + setComment(""); + setShowCommentForm(false); + } else { + setShowCommentForm(true); + } + + if (json.feedback) { + setFeedback(json.feedback); + } + + setIsLoading(false); + } + return ( +
+
+
+ {prefix} +
+
+ {/* TODO: Remove. Hacky fix, stop sequences don't seem to work with WebLLM yet. */} + {content.trim().split("\nInstruct:")[0].split("\nInstruction:")[0]} +
+
+ ✖️ +
+
+
+ + +
+
+
+ setComment(e.target.value)} + /> +
+ + Loading... +
+
+
+
+ ); +} \ No newline at end of file diff --git a/examples/example_web_apps/local-website-chatbot/components/ChatWindow.tsx b/examples/example_web_apps/local-website-chatbot/components/ChatWindow.tsx new file mode 100644 index 00000000..730db030 --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/components/ChatWindow.tsx @@ -0,0 +1,422 @@ +"use client"; + +import { Id, ToastContainer, toast } from "react-toastify"; +import "react-toastify/dist/ReactToastify.css"; + +import { useRef, useState, useEffect } from "react"; +import type { FormEvent } from "react"; + +import { ChatMessageBubble } from "@/components/ChatMessageBubble"; +import { ChatWindowMessage } from "@/schema/ChatWindowMessage"; + +export function ChatWindow(props: { placeholder?: string }) { + const { placeholder } = props; + const [messages, setMessages] = useState([]); + const [input, setInput] = useState(""); + const [isLoading, setIsLoading] = useState(true); + + const [selectedURL, setSelectedURL] = useState(null); + const [firecrawlApiKey, setFirecrawlApiKey] = useState(""); + const [readyToChat, setReadyToChat] = useState(false); + const initProgressToastId = useRef(null); + const titleText = "Local Chat With Websites"; + const emoji = "🔥"; + + const worker = useRef(null); + + async function queryStore(messages: ChatWindowMessage[]) { + if (!worker.current) { + throw new Error("Worker is not ready."); + } + return new ReadableStream({ + start(controller) { + if (!worker.current) { + controller.close(); + return; + } + const ollamaConfig = { + baseUrl: "http://localhost:11435", + temperature: 0.3, + model: "mistral", + }; + const payload: Record = { + messages, + modelProvider: "ollama", + modelConfig: ollamaConfig, + }; + if ( + process.env.NEXT_PUBLIC_LANGCHAIN_TRACING_V2 === "true" && + process.env.NEXT_PUBLIC_LANGCHAIN_API_KEY !== undefined + ) { + console.warn( + "[WARNING]: You have set your LangChain API key publicly. This should only be done in local devlopment - remember to remove it before deploying!", + ); + payload.DEV_LANGCHAIN_TRACING = { + LANGCHAIN_TRACING_V2: "true", + LANGCHAIN_API_KEY: process.env.NEXT_PUBLIC_LANGCHAIN_API_KEY, + LANGCHAIN_PROJECT: process.env.NEXT_PUBLIC_LANGCHAIN_PROJECT, + }; + } + worker.current?.postMessage(payload); + const onMessageReceived = async (e: any) => { + switch (e.data.type) { + case "log": + console.log(e.data); + break; + case "init_progress": + if (initProgressToastId.current === null) { + initProgressToastId.current = toast( + "Loading model weights... This may take a while", + { + progress: e.data.data.progress || 0.01, + theme: "dark", + }, + ); + } else { + if (e.data.data.progress === 1) { + await new Promise((resolve) => setTimeout(resolve, 2000)); + } + toast.update(initProgressToastId.current, { + progress: e.data.data.progress || 0.01, + }); + } + break; + case "chunk": + controller.enqueue(e.data.data); + break; + case "error": + worker.current?.removeEventListener("message", onMessageReceived); + console.log(e.data.error); + const error = new Error(e.data.error); + controller.error(error); + break; + case "complete": + worker.current?.removeEventListener("message", onMessageReceived); + controller.close(); + break; + } + }; + worker.current?.addEventListener("message", onMessageReceived); + }, + }); + } + + async function sendMessage(e: FormEvent) { + e.preventDefault(); + + if (isLoading || !input) { + return; + } + + const initialInput = input; + const initialMessages = [...messages]; + const newMessages = [ + ...initialMessages, + { role: "human" as const, content: input }, + ]; + + setMessages(newMessages); + setIsLoading(true); + setInput(""); + + try { + const stream = await queryStore(newMessages); + const reader = stream.getReader(); + + let chunk = await reader.read(); + + const aiResponseMessage: ChatWindowMessage = { + content: "", + role: "ai" as const, + }; + + setMessages([...newMessages, aiResponseMessage]); + + while (!chunk.done) { + aiResponseMessage.content = aiResponseMessage.content + chunk.value; + setMessages([...newMessages, aiResponseMessage]); + chunk = await reader.read(); + } + + setIsLoading(false); + } catch (e: any) { + setMessages(initialMessages); + setIsLoading(false); + setInput(initialInput); + toast(`There was an issue with querying your website: ${e.message}`, { + theme: "dark", + }); + } + } + + // We use the `useEffect` hook to set up the worker as soon as the `App` component is mounted. + useEffect(() => { + if (!worker.current) { + // Create the worker if it does not yet exist. + worker.current = new Worker( + new URL("../app/worker.ts", import.meta.url), + { + type: "module", + }, + ); + setIsLoading(false); + } + }, []); + + async function embedWebsite(e: FormEvent) { + console.log(e); + console.log(selectedURL); + console.log(firecrawlApiKey); + e.preventDefault(); + // const reader = new FileReader(); + if (selectedURL === null) { + toast(`You must enter a URL to embed.`, { + theme: "dark", + }); + return; + } + setIsLoading(true); + worker.current?.postMessage({ + url: selectedURL, + firecrawlApiKey: firecrawlApiKey, + }); + const onMessageReceived = (e: any) => { + switch (e.data.type) { + case "log": + console.log(e.data); + break; + case "error": + worker.current?.removeEventListener("message", onMessageReceived); + setIsLoading(false); + console.log(e.data.error); + toast(`There was an issue embedding your website: ${e.data.error}`, { + theme: "dark", + }); + break; + case "complete": + worker.current?.removeEventListener("message", onMessageReceived); + setIsLoading(false); + setReadyToChat(true); + toast( + `Embedding successful! Now try asking a question about your website.`, + { + theme: "dark", + }, + ); + break; + } + }; + worker.current?.addEventListener("message", onMessageReceived); + } + + const chooseDataComponent = ( + <> +
+

+ {emoji} Local Chat With Websites {emoji} +

+
    +
  • + 🏡 + + Welcome to the Local Web Chatbot! +

    +

    + This is a direct fork of{" "} + + Jacob Lee's fully local PDF chatbot + {" "} + replacing the chat with PDF functionality with website support. It + is a simple chatbot that allows you to ask questions about a + website by embedding it and running queries against the vector + store using a local LLM and embeddings. +
    +
  • +
  • + ⚙️ + + The default LLM is Mistral-7B run locally by Ollama. You'll + need to install{" "} + + the Ollama desktop app + {" "} + and run the following commands to give this site access to the + locally running model: +
    +
    +                $ OLLAMA_ORIGINS=https://webml-demo.vercel.app
    +                OLLAMA_HOST=127.0.0.1:11435 ollama serve
    +              
    +
    + Then, in another window: +
    +
    +                $ OLLAMA_HOST=127.0.0.1:11435 ollama pull mistral
    +              
    +
    + Additionally, you will need a Firecrawl API key for website + embedding. Signing up at{" "} + + firecrawl.dev + {" "} + is easy and you get 500 credits free. Enter your API key into the + box below the URL in the embedding form. +
    +
  • + +
  • + 🐙 + + Both this template and Jacob Lee's template are open source - + you can see the source code and deploy your own version{" "} + + from the GitHub repo + + or Jacob's{" "} + + original GitHub repo + + ! + +
  • +
  • + 👇 + + Try embedding a website below, then asking questions! You can even + turn off your WiFi after the website is scraped. + +
  • +
+
+ +
+ setSelectedURL(e.target.value)} + > + setFirecrawlApiKey(e.target.value)} + > + +
+ + ); + + const chatInterfaceComponent = ( + <> +
+ {messages.length > 0 + ? [...messages].reverse().map((m, i) => ( + + setMessages((previousMessages) => { + const displayOrderedMessages = previousMessages.reverse(); + return [ + ...displayOrderedMessages.slice(0, i), + ...displayOrderedMessages.slice(i + 1), + ].reverse(); + }) + } + > + )) + : ""} +
+ +
+
+ setInput(e.target.value)} + /> + +
+
+ + ); + + return ( +
+

+ {emoji} {titleText} +

+ {readyToChat ? chatInterfaceComponent : chooseDataComponent} + +
+ ); +} diff --git a/examples/example_web_apps/local-website-chatbot/components/Navbar.tsx b/examples/example_web_apps/local-website-chatbot/components/Navbar.tsx new file mode 100644 index 00000000..58acbae6 --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/components/Navbar.tsx @@ -0,0 +1,16 @@ +"use client"; + +import { usePathname } from 'next/navigation'; + +export function Navbar() { + const pathname = usePathname(); + return ( + + ); +} \ No newline at end of file diff --git a/examples/example_web_apps/local-website-chatbot/next.config.js b/examples/example_web_apps/local-website-chatbot/next.config.js new file mode 100644 index 00000000..98fd4383 --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/next.config.js @@ -0,0 +1,39 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + // (Optional) Export as a static site + // See https://nextjs.org/docs/pages/building-your-application/deploying/static-exports#configuration + output: 'export', // Feel free to modify/remove this option + + // Override the default webpack configuration + webpack: (config, { isServer }) => { + // See https://webpack.js.org/configuration/resolve/#resolvealias + config.resolve.alias = { + ...config.resolve.alias, + "sharp$": false, + "onnxruntime-node$": false, + } + config.experiments = { + ...config.experiments, + topLevelAwait: true, + asyncWebAssembly: true, + }; + config.module.rules.push({ + test: /\.md$/i, + use: "raw-loader", + }); + // Fixes npm packages that depend on `fs` module + if (!isServer) { + config.resolve.fallback = { + ...config.resolve.fallback, // if you miss it, all the other options in fallback, specified + // by next.js will be dropped. Doesn't make much sense, but how it is + fs: false, // the solution + "node:fs/promises": false, + module: false, + perf_hooks: false, + }; + } + return config; + }, +} + +module.exports = nextConfig \ No newline at end of file diff --git a/examples/example_web_apps/local-website-chatbot/package.json b/examples/example_web_apps/local-website-chatbot/package.json new file mode 100644 index 00000000..252e6b5f --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/package.json @@ -0,0 +1,47 @@ +{ + "name": "local-website-chatbot", + "version": "0.0.0", + "private": true, + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "next lint", + "format": "prettier --write \"app\"" + }, + "engines": { + "node": ">=18" + }, + "dependencies": { + "@langchain/community": "^0.2.9", + "@langchain/weaviate": "^0.0.4", + "@mendable/firecrawl-js": "^0.0.26", + "@mlc-ai/web-llm": "^0.2.42", + "@types/node": "20.4.5", + "@types/react": "18.2.17", + "@types/react-dom": "18.2.7", + "@xenova/transformers": "^2.16.0", + "autoprefixer": "10.4.14", + "encoding": "^0.1.13", + "eslint": "8.46.0", + "eslint-config-next": "13.4.12", + "jest": "^29.7.0", + "langchain": "^0.2.5", + "next": "13.4.12", + "pdf-parse": "^1.1.1", + "postcss": "8.4.27", + "react": "18.2.0", + "react-dom": "18.2.0", + "react-toastify": "^10.0.5", + "tailwindcss": "3.3.3", + "ts-node": "^10.9.2", + "typescript": "^5.4.5", + "voy-search": "^0.6.3" + }, + "devDependencies": { + "prettier": "3.0.0" + }, + "resolutions": { + "@langchain/core": "0.2.6" + } +} diff --git a/examples/example_web_apps/local-website-chatbot/postcss.config.js b/examples/example_web_apps/local-website-chatbot/postcss.config.js new file mode 100644 index 00000000..33ad091d --- /dev/null +++ b/examples/example_web_apps/local-website-chatbot/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git 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