diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000000000000000000000000000000000000..d600b6c76dd93f7b2472160d42b2797cae50c8e5 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,25 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? + diff --git a/.editorconfig b/.editorconfig new file mode 100644 index 0000000000000000000000000000000000000000..a78447ebf932f1bb3a5b124b472bea8b3a86f80f --- /dev/null +++ b/.editorconfig @@ -0,0 +1,7 @@ +[*] +charset = utf-8 +insert_final_newline = true +end_of_line = lf +indent_style = space +indent_size = 2 +max_line_length = 80 \ No newline at end of file diff --git a/.env.example b/.env.example new file mode 100644 index 0000000000000000000000000000000000000000..5040bb9f113aa1c22a2aacfbcece438f970ed5be --- /dev/null +++ b/.env.example @@ -0,0 +1,29 @@ +# A comma-separated list of access keys. Example: `ACCESS_KEYS="ABC123,JUD71F,HUWE3"`. Leave blank for unrestricted access. +ACCESS_KEYS="" + +# The timeout in hours for access key validation. Set to 0 to require validation on every page load. +ACCESS_KEY_TIMEOUT_HOURS="24" + +# The default model ID for WebLLM with F16 shaders. +WEBLLM_DEFAULT_F16_MODEL_ID="Qwen2.5-0.5B-Instruct-q4f16_1-MLC" + +# The default model ID for WebLLM with F32 shaders. +WEBLLM_DEFAULT_F32_MODEL_ID="Qwen2.5-0.5B-Instruct-q4f32_1-MLC" + +# The default model ID for Wllama. +WLLAMA_DEFAULT_MODEL_ID="qwen-2.5-0.5b" + +# The base URL for the internal OpenAI compatible API. Example: `INTERNAL_OPENAI_COMPATIBLE_API_BASE_URL="https://api.openai.com/v1"`. Leave blank to disable internal OpenAI compatible API. +INTERNAL_OPENAI_COMPATIBLE_API_BASE_URL="" + +# The access key for the internal OpenAI compatible API. +INTERNAL_OPENAI_COMPATIBLE_API_KEY="" + +# The model for the internal OpenAI compatible API. +INTERNAL_OPENAI_COMPATIBLE_API_MODEL="" + +# The name of the internal OpenAI compatible API, displayed in the UI. +INTERNAL_OPENAI_COMPATIBLE_API_NAME="Internal API" + +# The type of inference to use by default. Options: "browser" (browser-based), "openai" (OpenAI-compatible API), "internal" (internal API). +DEFAULT_INFERENCE_TYPE="browser" diff --git a/.github/workflows/on-pull-request-to-main.yml b/.github/workflows/on-pull-request-to-main.yml new file mode 100644 index 0000000000000000000000000000000000000000..1132d0b744fd9440ba8c00900f02790a3fc0438d --- /dev/null +++ b/.github/workflows/on-pull-request-to-main.yml @@ -0,0 +1,7 @@ +name: On Pull Request To Main +on: + pull_request: + branches: ["main"] +jobs: + test-lint-ping: + uses: ./.github/workflows/reusable-test-lint-ping.yml diff --git a/.github/workflows/on-push-to-main.yml b/.github/workflows/on-push-to-main.yml new file mode 100644 index 0000000000000000000000000000000000000000..cc884e452f5eeeac557e4b92f90ba22cd0a859ae --- /dev/null +++ b/.github/workflows/on-push-to-main.yml @@ -0,0 +1,56 @@ +name: On Push To Main +on: + push: + branches: ["main"] +jobs: + test-lint-ping: + uses: ./.github/workflows/reusable-test-lint-ping.yml + build-and-push-image: + needs: [test-lint-ping] + name: Publish Docker image to GitHub Packages + runs-on: ubuntu-latest + env: + REGISTRY: ghcr.io + IMAGE_NAME: ${{ github.repository }} + permissions: + contents: read + packages: write + steps: + - name: Checkout repository + uses: actions/checkout@v4 + - name: Log in to the Container registry + uses: docker/login-action@v3 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + - name: Extract metadata (tags, labels) for Docker + id: meta + uses: docker/metadata-action@v5 + with: + images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }} + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + - name: Build and push Docker image + uses: docker/build-push-action@v6 + with: + context: . + push: true + tags: ${{ steps.meta.outputs.tags }} + labels: ${{ steps.meta.outputs.labels }} + platforms: linux/amd64,linux/arm64 + sync-to-hf: + needs: [test-lint-ping] + name: Sync to HuggingFace Spaces + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + with: + lfs: true + - uses: JacobLinCool/huggingface-sync@v1 + with: + github: ${{ secrets.GITHUB_TOKEN }} + user: ${{ vars.HF_SPACE_OWNER }} + space: ${{ vars.HF_SPACE_NAME }} + token: ${{ secrets.HF_TOKEN }} + configuration: "hf-space-config.yml" diff --git a/.github/workflows/reusable-test-lint-ping.yml b/.github/workflows/reusable-test-lint-ping.yml new file mode 100644 index 0000000000000000000000000000000000000000..63c8e7c09f4a8598702dd4a30cd4a920d770043d --- /dev/null +++ b/.github/workflows/reusable-test-lint-ping.yml @@ -0,0 +1,25 @@ +on: + workflow_call: +jobs: + check-code-quality: + name: Check Code Quality + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-node@v4 + with: + node-version: 20 + cache: "npm" + - run: npm ci --ignore-scripts + - run: npm test + - run: npm run lint + check-docker-container: + needs: [check-code-quality] + name: Check Docker Container + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - run: docker compose -f docker-compose.production.yml up -d + - name: Check if main page is available + run: until curl -s -o /dev/null -w "%{http_code}" localhost:7860 | grep 200; do sleep 1; done + - run: docker compose -f docker-compose.production.yml down diff --git a/.github/workflows/update-searxng-docker-image.yml b/.github/workflows/update-searxng-docker-image.yml new file mode 100644 index 0000000000000000000000000000000000000000..50261a76e8453bc473fa6e487d81a45cebe7cd1a --- /dev/null +++ b/.github/workflows/update-searxng-docker-image.yml @@ -0,0 +1,44 @@ +name: Update SearXNG Docker Image + +on: + schedule: + - cron: "0 14 * * *" + workflow_dispatch: + +permissions: + contents: write + +jobs: + update-searxng-image: + runs-on: ubuntu-latest + steps: + - name: Checkout code + uses: actions/checkout@v4 + with: + token: ${{ secrets.GITHUB_TOKEN }} + + - name: Get latest SearXNG image tag + id: get_latest_tag + run: | + LATEST_TAG=$(curl -s "https://hub.docker.com/v2/repositories/searxng/searxng/tags/?page_size=3&ordering=last_updated" | jq -r '.results[] | select(.name != "latest-build-cache" and .name != "latest") | .name' | head -n 1) + echo "LATEST_TAG=${LATEST_TAG}" >> $GITHUB_OUTPUT + + - name: Update Dockerfile + run: | + sed -i 's|FROM searxng/searxng:.*|FROM searxng/searxng:${{ steps.get_latest_tag.outputs.LATEST_TAG }}|' Dockerfile + + - name: Check for changes + id: git_status + run: | + git diff --exit-code || echo "changes=true" >> $GITHUB_OUTPUT + + - name: Commit and push if changed + if: steps.git_status.outputs.changes == 'true' + run: | + git config --local user.email "github-actions[bot]@users.noreply.github.com" + git config --local user.name "github-actions[bot]" + git add Dockerfile + git commit -m "Update SearXNG Docker image to tag ${{ steps.get_latest_tag.outputs.LATEST_TAG }}" + git push + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..f1b26f1ea73cad18af0078381a02bbc532714a0a --- /dev/null +++ b/.gitignore @@ -0,0 +1,7 @@ +node_modules +.DS_Store +/client/dist +/server/models +.vscode +/vite-build-stats.html +.env diff --git a/.npmrc b/.npmrc new file mode 100644 index 0000000000000000000000000000000000000000..80bcbed90c4f2b3d895d5086dc775e1bd8b32b43 --- /dev/null +++ b/.npmrc @@ -0,0 +1 @@ +legacy-peer-deps = true diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..3f662e8ea80654912fe5c914a73a972845bc9cf3 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,82 @@ +# Use the SearXNG image as the base +FROM searxng/searxng:2024.10.23-b14d885f2 + +# Set the default port to 7860 if not provided +ENV PORT=7860 + +# Expose the port specified by the PORT environment variable +EXPOSE $PORT + +# Install necessary packages using Alpine's package manager +RUN apk add --update \ + nodejs \ + npm \ + git \ + build-base \ + cmake \ + ccache + +# Set the SearXNG settings folder path +ARG SEARXNG_SETTINGS_FOLDER=/etc/searxng + +# Modify SearXNG configuration: +# 1. Change output format from HTML to JSON +# 2. Remove user switching in the entrypoint script +# 3. Create and set permissions for the settings folder +RUN sed -i 's/- html/- json/' /usr/local/searxng/searx/settings.yml \ + && sed -i 's/su-exec searxng:searxng //' /usr/local/searxng/dockerfiles/docker-entrypoint.sh \ + && mkdir -p ${SEARXNG_SETTINGS_FOLDER} \ + && chmod 777 ${SEARXNG_SETTINGS_FOLDER} + +# Set up user and directory structure +ARG USERNAME=user +ARG HOME_DIR=/home/${USERNAME} +ARG APP_DIR=${HOME_DIR}/app + +# Create a non-root user and set up the application directory +RUN adduser -D -u 1000 ${USERNAME} \ + && mkdir -p ${APP_DIR} \ + && chown -R ${USERNAME}:${USERNAME} ${HOME_DIR} + +# Switch to the non-root user +USER ${USERNAME} + +# Set the working directory to the application directory +WORKDIR ${APP_DIR} + +# Define environment variables that can be passed to the container during build. +# This approach allows for dynamic configuration without relying on a `.env` file, +# which might not be suitable for all deployment scenarios. +ARG ACCESS_KEYS +ARG ACCESS_KEY_TIMEOUT_HOURS +ARG WEBLLM_DEFAULT_F16_MODEL_ID +ARG WEBLLM_DEFAULT_F32_MODEL_ID +ARG WLLAMA_DEFAULT_MODEL_ID +ARG INTERNAL_OPENAI_COMPATIBLE_API_BASE_URL +ARG INTERNAL_OPENAI_COMPATIBLE_API_KEY +ARG INTERNAL_OPENAI_COMPATIBLE_API_MODEL +ARG INTERNAL_OPENAI_COMPATIBLE_API_NAME +ARG DEFAULT_INFERENCE_TYPE + +# Copy package.json, package-lock.json, and .npmrc files +COPY --chown=${USERNAME}:${USERNAME} ./package.json ./package.json +COPY --chown=${USERNAME}:${USERNAME} ./package-lock.json ./package-lock.json +COPY --chown=${USERNAME}:${USERNAME} ./.npmrc ./.npmrc + +# Install Node.js dependencies +RUN npm ci + +# Copy the rest of the application files +COPY --chown=${USERNAME}:${USERNAME} . . + +# Configure Git to treat the app directory as safe +RUN git config --global --add safe.directory ${APP_DIR} + +# Build the application +RUN npm run build + +# Set the entrypoint to use a shell +ENTRYPOINT [ "/bin/sh", "-c" ] + +# Run SearXNG in the background and start the Node.js application using PM2 +CMD [ "(/usr/local/searxng/dockerfiles/docker-entrypoint.sh -f > /dev/null 2>&1) & (npx pm2 start ecosystem.config.cjs && npx pm2 logs production-server)" ] diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..8663733578ab3a007a39abb748692b0ccb363357 --- /dev/null +++ b/README.md @@ -0,0 +1,121 @@ +--- +title: MiniSearch +emoji: 👌🔍 +colorFrom: yellow +colorTo: yellow +sdk: docker +short_description: Minimalist web-searching app with browser-based AI assistant +pinned: true +custom_headers: + cross-origin-embedder-policy: require-corp + cross-origin-opener-policy: same-origin + cross-origin-resource-policy: cross-origin +--- + +# MiniSearch + +A minimalist web-searching app with an AI assistant that runs directly from your browser. + +Live demo: https://felladrin-minisearch.hf.space + +## Screenshot + +![MiniSearch Screenshot](https://github.com/user-attachments/assets/f8d72a8e-a725-42e9-9358-e6ebade2acb2) + +## Features + +- **Privacy-focused**: [No tracking, no ads, no data collection](https://docs.searxng.org/own-instance.html#how-does-searxng-protect-privacy) +- **Easy to use**: Minimalist yet intuitive interface for all users +- **Cross-platform**: Models run inside the browser, both on desktop and mobile +- **Integrated**: Search from the browser address bar by setting it as the default search engine +- **Efficient**: Models are loaded and cached only when needed +- **Customizable**: Tweakable settings for search results and text generation +- **Open-source**: [The code is available for inspection and contribution at GitHub](https://github.com/felladrin/MiniSearch) + +## Prerequisites + +- [Docker](https://docs.docker.com/get-docker/) + +## Getting started + +There are two ways to get started with MiniSearch. Pick one that suits you best. + +**Option 1** - Use [MiniSearch's Docker Image](https://github.com/felladrin/MiniSearch/pkgs/container/minisearch) by running: + +```bash +docker run -p 7860:7860 ghcr.io/felladrin/minisearch:main +``` + +**Option 2** - Build from source by [downloading the repository files](https://github.com/felladrin/MiniSearch/archive/refs/heads/main.zip) and running: + +```bash +docker compose -f docker-compose.production.yml up --build +``` + +Then, open http://localhost:7860 in your browser and start searching! + +## Frequently asked questions + +
+ How do I search via the browser's address bar? +

+ You can set MiniSearch as your browser's address-bar search engine using the pattern http://localhost:7860/?q=%s, in which your search term replaces %s. +

+
+ +
+ Can I use custom models via OpenAI-Compatible API? +

+ Yes! For this, open the Menu and change the "AI Processing Location" to Remote server (API). Then configure the Base URL, and optionally set an API Key and a Model to use. +

+
+ +
+ How do I restrict the access to my MiniSearch instance via password? +

+ Create a .env file and set a value for ACCESS_KEYS. Then reset the MiniSearch docker container. +

+

+ For example, if you to set the password to PepperoniPizza, then this is what you should add to your .env:
+ ACCESS_KEYS="PepperoniPizza" +

+

+ You can find more examples in the .env.example file. +

+
+ +
+ I want to serve MiniSearch to other users, allowing them to use my own OpenAI-Compatible API key, but without revealing it to them. Is it possible? +

Yes! In MiniSearch, we call this text-generation feature "Internal OpenAI-Compatible API". To use this it:

+
    +
  1. Set up your OpenAI-Compatible API endpoint by configuring the following environment variables in your .env file: +
      +
    • INTERNAL_OPENAI_COMPATIBLE_API_BASE_URL: The base URL for your API
      • +
    • INTERNAL_OPENAI_COMPATIBLE_API_KEY: Your API access key
      • +
    • INTERNAL_OPENAI_COMPATIBLE_API_MODEL: The model to use
      • +
    • INTERNAL_OPENAI_COMPATIBLE_API_NAME: The name to display in the UI
      • +
    +
    2. +
  2. Restart MiniSearch server.
    3. +
  3. In the MiniSearch menu, select the new option (named as per your INTERNAL_OPENAI_COMPATIBLE_API_NAME setting) from the "AI Processing Location" dropdown.
    4. +
+
+ +
+ How can I contribute to the development of this tool? +

Fork this repository and clone it. Then, start the development server by running the following command:

+

docker compose up

+

Make your changes, push them to your fork, and open a pull request! All contributions are welcome!

+
+ +
+ Why is MiniSearch built upon SearXNG's Docker Image and using a single image instead of composing it from multiple services? +

There are a few reasons for this:

+ +
diff --git a/client/components/AiResponse/AiModelDownloadAllowanceContent.tsx b/client/components/AiResponse/AiModelDownloadAllowanceContent.tsx new file mode 100644 index 0000000000000000000000000000000000000000..eb09e4865f74cd51518a9c3243d1f6c70451e814 --- /dev/null +++ b/client/components/AiResponse/AiModelDownloadAllowanceContent.tsx @@ -0,0 +1,62 @@ +import { Alert, Button, Group, Text } from "@mantine/core"; +import { IconCheck, IconInfoCircle, IconX } from "@tabler/icons-react"; +import { usePubSub } from "create-pubsub/react"; +import { settingsPubSub } from "../../modules/pubSub"; +import { useState } from "react"; +import { addLogEntry } from "../../modules/logEntries"; + +export default function AiModelDownloadAllowanceContent() { + const [settings, setSettings] = usePubSub(settingsPubSub); + const [hasDeniedDownload, setDeniedDownload] = useState(false); + + const handleAccept = () => { + setSettings({ + ...settings, + allowAiModelDownload: true, + }); + addLogEntry("User allowed the AI model download"); + }; + + const handleDecline = () => { + setDeniedDownload(true); + addLogEntry("User denied the AI model download"); + }; + + return hasDeniedDownload ? null : ( + } + > + + To obtain AI responses, a language model needs to be downloaded to your + browser. Enabling this option lets the app store it and load it + instantly on subsequent uses. + + + Please note that the download size ranges from 100 MB to 4 GB, depending + on the model you select in the Menu, so it's best to avoid using mobile + data for this. + + + + + + + ); +} diff --git a/client/components/AiResponse/AiResponseContent.tsx b/client/components/AiResponse/AiResponseContent.tsx new file mode 100644 index 0000000000000000000000000000000000000000..feffe248ce8f3a55e8a3f3428017ccbad28dd223 --- /dev/null +++ b/client/components/AiResponse/AiResponseContent.tsx @@ -0,0 +1,145 @@ +import { + ActionIcon, + Alert, + Badge, + Box, + Card, + CopyButton, + Group, + ScrollArea, + Text, + Tooltip, +} from "@mantine/core"; +import { + IconArrowsMaximize, + IconCheck, + IconCopy, + IconHandStop, + IconInfoCircle, +} from "@tabler/icons-react"; +import { PublishFunction } from "create-pubsub"; +import { lazy, ReactNode, Suspense, useMemo, useState } from "react"; +import { match } from "ts-pattern"; + +const FormattedMarkdown = lazy(() => import("./FormattedMarkdown")); + +export default function AiResponseContent({ + textGenerationState, + response, + setTextGenerationState, +}: { + textGenerationState: string; + response: string; + setTextGenerationState: PublishFunction< + | "failed" + | "awaitingSearchResults" + | "preparingToGenerate" + | "idle" + | "loadingModel" + | "generating" + | "interrupted" + | "completed" + >; +}) { + const [isScrollAreaEnabled, setScrollAreaEnabled] = useState(true); + + const ConditionalScrollArea = useMemo( + () => + ({ children }: { children: ReactNode }) => { + return isScrollAreaEnabled ? ( + + {children} + + ) : ( + {children} + ); + }, + [isScrollAreaEnabled], + ); + + return ( + + + + + + {match(textGenerationState) + .with("generating", () => "Generating AI Response...") + .otherwise(() => "AI Response")} + + {match(textGenerationState) + .with("interrupted", () => ( + + Interrupted + + )) + .otherwise(() => null)} + + + {match(textGenerationState) + .with("generating", () => ( + + setTextGenerationState("interrupted")} + variant="subtle" + color="gray" + > + + + + )) + .otherwise(() => null)} + {isScrollAreaEnabled && ( + + setScrollAreaEnabled(false)} + variant="subtle" + color="gray" + > + + + + )} + + {({ copied, copy }) => ( + + + {copied ? : } + + + )} + + + + + + + + {response} + + + {match(textGenerationState) + .with("failed", () => ( + } + > + Could not generate response. It's possible that your browser or + your system is out of memory. + + )) + .otherwise(() => null)} + + + ); +} diff --git a/client/components/AiResponse/AiResponseSection.tsx b/client/components/AiResponse/AiResponseSection.tsx new file mode 100644 index 0000000000000000000000000000000000000000..dcd868d238ea2762bb7e9deeaf6a550a33b76345 --- /dev/null +++ b/client/components/AiResponse/AiResponseSection.tsx @@ -0,0 +1,88 @@ +import { usePubSub } from "create-pubsub/react"; +import { lazy, Suspense, useMemo } from "react"; +import { match, Pattern } from "ts-pattern"; +import { + modelLoadingProgressPubSub, + responsePubSub, + settingsPubSub, + queryPubSub, + textGenerationStatePubSub, +} from "../../modules/pubSub"; + +const AiResponseContent = lazy(() => import("./AiResponseContent")); +const PreparingContent = lazy(() => import("./PreparingContent")); +const LoadingModelContent = lazy(() => import("./LoadingModelContent")); +const ChatInterface = lazy(() => import("./ChatInterface")); +const AiModelDownloadAllowanceContent = lazy( + () => import("./AiModelDownloadAllowanceContent"), +); + +export default function AiResponseSection() { + const [query] = usePubSub(queryPubSub); + const [response] = usePubSub(responsePubSub); + const [textGenerationState, setTextGenerationState] = usePubSub( + textGenerationStatePubSub, + ); + const [modelLoadingProgress] = usePubSub(modelLoadingProgressPubSub); + const [settings] = usePubSub(settingsPubSub); + + return useMemo( + () => + match([settings.enableAiResponse, textGenerationState]) + .with([true, Pattern.not("idle").select()], (textGenerationState) => + match(textGenerationState) + .with( + Pattern.union("generating", "interrupted", "completed", "failed"), + (textGenerationState) => ( + <> + + + + {textGenerationState === "completed" && ( + + + + )} + + ), + ) + .with("awaitingModelDownloadAllowance", () => ( + + + + )) + .with("loadingModel", () => ( + + + + )) + .with( + Pattern.union("awaitingSearchResults", "preparingToGenerate"), + (textGenerationState) => ( + + + + ), + ) + .exhaustive(), + ) + .otherwise(() => null), + [ + settings, + textGenerationState, + setTextGenerationState, + modelLoadingProgress, + response, + query, + ], + ); +} diff --git a/client/components/AiResponse/ChatInterface.tsx b/client/components/AiResponse/ChatInterface.tsx new file mode 100644 index 0000000000000000000000000000000000000000..d39d7fd1dea98c5dc812f0b3b283d9e8529fd33c --- /dev/null +++ b/client/components/AiResponse/ChatInterface.tsx @@ -0,0 +1,173 @@ +import { + useState, + useEffect, + lazy, + Suspense, + useRef, + KeyboardEvent, +} from "react"; +import { + Card, + Text, + Textarea, + Button, + Stack, + Group, + Paper, +} from "@mantine/core"; +import { IconSend } from "@tabler/icons-react"; +import { + ChatMessage, + generateChatResponse, +} from "../../modules/textGeneration"; +import { addLogEntry } from "../../modules/logEntries"; +import { usePubSub } from "create-pubsub/react"; +import { settingsPubSub } from "../../modules/pubSub"; +import { match } from "ts-pattern"; + +const FormattedMarkdown = lazy(() => import("./FormattedMarkdown")); + +export default function ChatInterface({ + initialQuery, + initialResponse, +}: { + initialQuery: string; + initialResponse: string; +}) { + const [messages, setMessages] = useState([]); + const [input, setInput] = useState(""); + const [isGenerating, setIsGenerating] = useState(false); + const [streamedResponse, setStreamedResponse] = useState(""); + const latestResponseRef = useRef(""); + const [settings] = usePubSub(settingsPubSub); + + useEffect(() => { + setMessages([ + { role: "user", content: initialQuery }, + { role: "assistant", content: initialResponse }, + ]); + }, [initialQuery, initialResponse]); + + const handleSend = async () => { + if (input.trim() === "" || isGenerating) return; + + const newMessages = [...messages, { role: "user", content: input }]; + setMessages(newMessages); + setInput(""); + setIsGenerating(true); + setStreamedResponse(""); + latestResponseRef.current = ""; + + try { + addLogEntry("User sent a follow-up question"); + await generateChatResponse(newMessages, (partialResponse) => { + setStreamedResponse(partialResponse); + latestResponseRef.current = partialResponse; + }); + setMessages((prevMessages) => [ + ...prevMessages, + { role: "assistant", content: latestResponseRef.current }, + ]); + addLogEntry("AI responded to follow-up question"); + } catch (error) { + addLogEntry(`Error generating chat response: ${error}`); + setMessages((prevMessages) => [ + ...prevMessages, + { + role: "assistant", + content: "Sorry, I encountered an error while generating a response.", + }, + ]); + } finally { + setIsGenerating(false); + setStreamedResponse(""); + } + }; + + const handleKeyDown = (event: KeyboardEvent) => { + match([event, settings.enterToSubmit]) + .with([{ code: "Enter", shiftKey: false }, true], () => { + event.preventDefault(); + handleSend(); + }) + .with([{ code: "Enter", shiftKey: true }, false], () => { + event.preventDefault(); + handleSend(); + }) + .otherwise(() => undefined); + }; + + return ( + + + Follow-up questions + + + {messages.slice(2).length > 0 && ( + + {messages.slice(2).map((message, index) => ( + + + {message.content} + + + ))} + {isGenerating && streamedResponse.length > 0 && ( + + + {streamedResponse} + + + )} + + )} + +