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..c56d875694b48331939a8946dc1c8b956fca0e0d --- /dev/null +++ b/.env.example @@ -0,0 +1,33 @@ +# 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="Qwen3-1.7B-q4f16_1-MLC" + +# The default model ID for WebLLM with F32 shaders. +WEBLLM_DEFAULT_F32_MODEL_ID="Qwen3-1.7B-q4f32_1-MLC" + +# The default model ID for Wllama. +WLLAMA_DEFAULT_MODEL_ID="qwen-3-0.6b" + +# 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. The possible values are: +# "browser" -> In the browser (Private) +# "openai" -> Remote Server (API) +# "horde" -> AI Horde (Pre-configured) +# "internal" -> $INTERNAL_OPENAI_COMPATIBLE_API_NAME +DEFAULT_INFERENCE_TYPE="browser" diff --git a/.github/hf-space-config.yml b/.github/hf-space-config.yml new file mode 100644 index 0000000000000000000000000000000000000000..6d9d5b00160bb6ad09b8a92ab74ab6cd0a360b3b --- /dev/null +++ b/.github/hf-space-config.yml @@ -0,0 +1,11 @@ +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 diff --git a/.github/workflows/ai-review.yml b/.github/workflows/ai-review.yml new file mode 100644 index 0000000000000000000000000000000000000000..3ea93f7fd75468eac5a545dd6d98aa66bf543e6f --- /dev/null +++ b/.github/workflows/ai-review.yml @@ -0,0 +1,136 @@ +name: Review Pull Request with AI + +on: + pull_request: + types: [opened, synchronize, reopened] + branches: ["main"] + +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} + cancel-in-progress: true + +jobs: + ai-review: + if: ${{ !contains(github.event.pull_request.labels.*.name, 'skip-ai-review') }} + continue-on-error: true + runs-on: ubuntu-latest + name: AI Review + permissions: + pull-requests: write + contents: read + timeout-minutes: 30 + steps: + - name: Checkout Repository + uses: actions/checkout@v4 + + - name: Create temporary directory + run: mkdir -p /tmp/pr_review + + - name: Process PR description + id: process_pr + run: | + PR_BODY_ESCAPED=$(cat << 'EOF' + ${{ github.event.pull_request.body }} + EOF + ) + PROCESSED_BODY=$(echo "$PR_BODY_ESCAPED" | sed -E 's/\[(.*?)\]\(.*?\)/\1/g') + echo "$PROCESSED_BODY" > /tmp/pr_review/processed_body.txt + + - name: Fetch branches and output the diff + run: | + git fetch origin main:main + git fetch origin pull/${{ github.event.pull_request.number }}/head:pr-branch + git diff main..pr-branch > /tmp/pr_review/diff.txt + + - name: Prepare review request + id: prepare_request + run: | + PR_TITLE=$(echo "${{ github.event.pull_request.title }}" | sed 's/[()]/\\&/g') + DIFF_CONTENT=$(cat /tmp/pr_review/diff.txt) + PROCESSED_BODY=$(cat /tmp/pr_review/processed_body.txt) + + jq -n \ + --arg model "${{ vars.OPENROUTER_MODEL }}" \ + --arg http_referer "${{ github.event.repository.html_url }}" \ + --arg title "${{ github.event.repository.name }}" \ + --arg system "You are an experienced developer reviewing a Pull Request. You focus only on what matters and provide concise, actionable feedback. + + Review Context: + Repository Name: \"${{ github.event.repository.name }}\" + Repository Description: \"${{ github.event.repository.description }}\" + Branch: \"${{ github.event.pull_request.head.ref }}\" + PR Title: \"$PR_TITLE\" + + Guidelines: + 1. Only comment on issues that: + - Could cause bugs or security issues + - Significantly impact performance + - Make the code harder to maintain + - Violate critical best practices + + 2. For each issue: + - Point to the specific line/file + - Explain why it's a problem + - Suggest a concrete fix + + 3. Praise exceptional solutions briefly, only if truly innovative + + 4. Skip commenting on: + - Minor style issues + - Obvious changes + - Working code that could be marginally improved + - Things that are just personal preference + + Remember: + Less is more. If the code is good and working, just say so, with a short message." \ + --arg user "This is the description of the pull request: + \`\`\`markdown + $PROCESSED_BODY + \`\`\` + + And here is the diff of the changes, for you to review: + \`\`\`diff + $DIFF_CONTENT + \`\`\`" \ + '{ + "model": $model, + "messages": [ + {"role": "system", "content": $system}, + {"role": "user", "content": $user} + ], + "temperature": 0.7, + "top_p": 0.9, + "min_p": 0.1, + "extra_headers": { + "HTTP-Referer": $http_referer, + "X-Title": $title + } + }' > /tmp/pr_review/request.json + + - name: Get AI Review + id: ai_review + run: | + RESPONSE=$(curl -s https://openrouter.ai/api/v1/chat/completions \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer ${{ secrets.OPENROUTER_API_KEY }}" \ + -d @/tmp/pr_review/request.json) + + echo "### Review" > /tmp/pr_review/response.txt + echo "" >> /tmp/pr_review/response.txt + echo "$RESPONSE" | jq -r '.choices[0].message.content' >> /tmp/pr_review/response.txt + + - name: Find Comment + uses: peter-evans/find-comment@v3 + id: find_comment + with: + issue-number: ${{ github.event.pull_request.number }} + comment-author: "github-actions[bot]" + body-includes: "### Review" + + - name: Post or Update PR Review + uses: peter-evans/create-or-update-comment@v4 + with: + comment-id: ${{ steps.find_comment.outputs.comment-id }} + issue-number: ${{ github.event.pull_request.number }} + body-path: /tmp/pr_review/response.txt + edit-mode: replace diff --git a/.github/workflows/deploy-to-hugging-face.yml b/.github/workflows/deploy-to-hugging-face.yml new file mode 100644 index 0000000000000000000000000000000000000000..43ff49b9d2f372d55da2a3c408f40b3ca0bca5fa --- /dev/null +++ b/.github/workflows/deploy-to-hugging-face.yml @@ -0,0 +1,20 @@ +name: Deploy to Hugging Face + +on: + workflow_dispatch: + +jobs: + sync-to-hf: + name: Sync to Hugging Face 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: ".github/hf-space-config.yml" 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..6eae98e615c1c1f2c899a9a5f1d785dd3883ff62 --- /dev/null +++ b/.github/workflows/on-pull-request-to-main.yml @@ -0,0 +1,9 @@ +name: On Pull Request To Main +on: + pull_request: + types: [opened, synchronize, reopened] + branches: ["main"] +jobs: + test-lint-ping: + if: ${{ !contains(github.event.pull_request.labels.*.name, 'skip-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..8ce693215c4351bab8b54ccac302345e1202ba03 --- /dev/null +++ b/.github/workflows/on-push-to-main.yml @@ -0,0 +1,7 @@ +name: On Push To Main +on: + push: + branches: ["main"] +jobs: + test-lint-ping: + uses: ./.github/workflows/reusable-test-lint-ping.yml diff --git a/.github/workflows/publish-docker-image.yml b/.github/workflows/publish-docker-image.yml new file mode 100644 index 0000000000000000000000000000000000000000..d9b2b4a3d7a51a316c5a72e8a2243ec20181c248 --- /dev/null +++ b/.github/workflows/publish-docker-image.yml @@ -0,0 +1,39 @@ +name: Publish Docker Image + +on: + workflow_dispatch: + +jobs: + build-and-push-image: + 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 diff --git a/.github/workflows/reusable-test-lint-ping.yml b/.github/workflows/reusable-test-lint-ping.yml new file mode 100644 index 0000000000000000000000000000000000000000..9fdf4da857b8756180e2540d110b9d3fabe3369b --- /dev/null +++ b/.github/workflows/reusable-test-lint-ping.yml @@ -0,0 +1,26 @@ +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 + timeout-minutes: 1 + - run: docker compose -f docker-compose.production.yml down 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/.husky/pre-commit b/.husky/pre-commit new file mode 100644 index 0000000000000000000000000000000000000000..2312dc587f61186ccf0d627d678d851b9eef7b82 --- /dev/null +++ b/.husky/pre-commit @@ -0,0 +1 @@ +npx lint-staged 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..bc736b4098848a063a966af24b48a04b93b5f18e --- /dev/null +++ b/Dockerfile @@ -0,0 +1,95 @@ +FROM node:lts AS llama-builder + +ARG LLAMA_CPP_RELEASE_TAG="b5595" + +RUN apt-get update && apt-get install -y \ + build-essential \ + cmake \ + ccache \ + git \ + curl + +RUN cd /tmp && \ + git clone https://github.com/ggerganov/llama.cpp.git && \ + cd llama.cpp && \ + git checkout $LLAMA_CPP_RELEASE_TAG && \ + cmake -B build -DGGML_NATIVE=OFF -DLLAMA_CURL=OFF && \ + cmake --build build --config Release -j --target llama-server && \ + mkdir -p /usr/local/lib/llama && \ + find build -type f \( -name "libllama.so" -o -name "libmtmd.so" -o -name "libggml.so" -o -name "libggml-base.so" -o -name "libggml-cpu.so" \) -exec cp {} /usr/local/lib/llama/ \; + +FROM node:lts + +ENV PORT=7860 +EXPOSE $PORT + +ARG USERNAME=node +ARG HOME_DIR=/home/${USERNAME} +ARG APP_DIR=${HOME_DIR}/app + +RUN apt-get update && \ + apt-get install -y --no-install-recommends \ + python3 \ + python3-venv && \ + apt-get clean && \ + rm -rf /var/lib/apt/lists/* + +RUN mkdir -p /usr/local/searxng /etc/searxng && \ + chown -R ${USERNAME}:${USERNAME} /usr/local/searxng /etc/searxng && \ + chmod 755 /etc/searxng + +WORKDIR /usr/local/searxng +RUN python3 -m venv searxng-venv && \ + chown -R ${USERNAME}:${USERNAME} /usr/local/searxng/searxng-venv && \ + /usr/local/searxng/searxng-venv/bin/pip install --upgrade pip && \ + /usr/local/searxng/searxng-venv/bin/pip install wheel setuptools pyyaml lxml + +RUN git clone https://github.com/searxng/searxng.git /usr/local/searxng/searxng-src && \ + chown -R ${USERNAME}:${USERNAME} /usr/local/searxng/searxng-src + +ARG SEARXNG_SETTINGS_PATH="/etc/searxng/settings.yml" + +WORKDIR /usr/local/searxng/searxng-src +RUN cp searx/settings.yml $SEARXNG_SETTINGS_PATH && \ + chown ${USERNAME}:${USERNAME} $SEARXNG_SETTINGS_PATH && \ + chmod 644 $SEARXNG_SETTINGS_PATH && \ + sed -i 's/ultrasecretkey/'$(openssl rand -hex 32)'/g' $SEARXNG_SETTINGS_PATH && \ + sed -i 's/- html/- json/' $SEARXNG_SETTINGS_PATH && \ + /usr/local/searxng/searxng-venv/bin/pip install -e . + +COPY --from=llama-builder /tmp/llama.cpp/build/bin/llama-server /usr/local/bin/ +COPY --from=llama-builder /usr/local/lib/llama/* /usr/local/lib/ +RUN ldconfig /usr/local/lib + +USER ${USERNAME} + +WORKDIR ${APP_DIR} + +ARG ACCESS_KEYS +ARG ACCESS_KEY_TIMEOUT_HOURS +ARG WEBLLM_DEFAULT_F16_MODEL_ID +ARG WEBLLM_DEFAULT_F32_MODEL_ID +ARG WLLAMA_DEFAULT_MODEL_ID +ARG INTERNAL_OPENAI_COMPATIBLE_API_BASE_URL +ARG INTERNAL_OPENAI_COMPATIBLE_API_KEY +ARG INTERNAL_OPENAI_COMPATIBLE_API_MODEL +ARG INTERNAL_OPENAI_COMPATIBLE_API_NAME +ARG DEFAULT_INFERENCE_TYPE +ARG HOST +ARG HMR_PORT +ARG ALLOWED_HOSTS + +COPY --chown=${USERNAME}:${USERNAME} ./package.json ./package-lock.json ./.npmrc ./ + +RUN npm ci + +COPY --chown=${USERNAME}:${USERNAME} . . + +RUN git config --global --add safe.directory ${APP_DIR} && \ + npm run build + +HEALTHCHECK --interval=5m CMD curl -f http://localhost:7860/status || exit 1 + +ENTRYPOINT [ "/bin/sh", "-c" ] + +CMD ["(cd /usr/local/searxng/searxng-src && /usr/local/searxng/searxng-venv/bin/python -m searx.webapp > /dev/null 2>&1) & (npx pm2 start ecosystem.config.cjs && npx pm2 logs)" ] diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..ac717fad69617c9d3f443a1d035bfea6d574c18e --- /dev/null +++ b/README.md @@ -0,0 +1,127 @@ +--- +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 + +Here are the easiest ways to get started with MiniSearch. Pick the one that suits you best. + +**Option 1** - Use [MiniSearch's Docker Image](https://github.com/felladrin/MiniSearch/pkgs/container/minisearch) by running in your terminal: + +```bash +docker run -p 7860:7860 ghcr.io/felladrin/minisearch:main +``` + +**Option 2** - Add MiniSearch's Docker Image to your existing Docker Compose file: + +```yaml +services: + minisearch: + image: ghcr.io/felladrin/minisearch:main + ports: + - "7860:7860" +``` + +**Option 3** - 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 +``` + +Once the container is running, 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. +

+
+ +
+ How do I search via Raycast? +

+ You can add this Quicklink to Raycast, so typing your query will open MiniSearch with the search results. You can also edit it to point to your own domain. +

+ image +
+ +
+ 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!

+
diff --git a/biome.json b/biome.json new file mode 100644 index 0000000000000000000000000000000000000000..adaa75db32e7a7e5bf6eb2ae2df5a99cdd4352bf --- /dev/null +++ b/biome.json @@ -0,0 +1,30 @@ +{ + "$schema": "https://biomejs.dev/schemas/1.9.4/schema.json", + "vcs": { + "enabled": false, + "clientKind": "git", + "useIgnoreFile": false + }, + "files": { + "ignoreUnknown": false, + "ignore": [] + }, + "formatter": { + "enabled": true, + "indentStyle": "space" + }, + "organizeImports": { + "enabled": true + }, + "linter": { + "enabled": true, + "rules": { + "recommended": true + } + }, + "javascript": { + "formatter": { + "quoteStyle": "double" + } + } +} diff --git a/client/components/AiResponse/AiModelDownloadAllowanceContent.tsx b/client/components/AiResponse/AiModelDownloadAllowanceContent.tsx new file mode 100644 index 0000000000000000000000000000000000000000..227cec2d8152fb4ddcb9a4e91e4c8e3034b0feba --- /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 { useState } from "react"; +import { addLogEntry } from "../../modules/logEntries"; +import { settingsPubSub } from "../../modules/pubSub"; + +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..2ae870753fcca4bd33acb9669c5845bd04dfeaf4 --- /dev/null +++ b/client/components/AiResponse/AiResponseContent.tsx @@ -0,0 +1,209 @@ +import { + ActionIcon, + Alert, + Badge, + Box, + Card, + Group, + ScrollArea, + Text, + Tooltip, +} from "@mantine/core"; +import { + IconArrowsMaximize, + IconArrowsMinimize, + IconHandStop, + IconInfoCircle, + IconRefresh, + IconVolume2, +} from "@tabler/icons-react"; +import type { PublishFunction } from "create-pubsub"; +import { usePubSub } from "create-pubsub/react"; +import { type ReactNode, Suspense, lazy, useMemo, useState } from "react"; +import { addLogEntry } from "../../modules/logEntries"; +import { settingsPubSub } from "../../modules/pubSub"; +import { searchAndRespond } from "../../modules/textGeneration"; + +const FormattedMarkdown = lazy(() => import("./FormattedMarkdown")); +const CopyIconButton = lazy(() => import("./CopyIconButton")); + +export default function AiResponseContent({ + textGenerationState, + response, + setTextGenerationState, +}: { + textGenerationState: string; + response: string; + setTextGenerationState: PublishFunction< + | "failed" + | "awaitingSearchResults" + | "preparingToGenerate" + | "idle" + | "loadingModel" + | "generating" + | "interrupted" + | "completed" + >; +}) { + const [settings, setSettings] = usePubSub(settingsPubSub); + const [isSpeaking, setIsSpeaking] = useState(false); + + const ConditionalScrollArea = useMemo( + () => + ({ children }: { children: ReactNode }) => { + return settings.enableAiResponseScrolling ? ( + + {children} + + ) : ( + {children} + ); + }, + [settings.enableAiResponseScrolling], + ); + + function speakResponse(text: string) { + if (isSpeaking) { + self.speechSynthesis.cancel(); + setIsSpeaking(false); + return; + } + + const prepareTextForSpeech = (textToClean: string) => { + const withoutLinks = textToClean.replace(/\[([^\]]+)\]\([^)]+\)/g, ""); + const withoutMarkdown = withoutLinks.replace(/[#*`_~\[\]]/g, ""); + return withoutMarkdown; + }; + + const utterance = new SpeechSynthesisUtterance(prepareTextForSpeech(text)); + + const voices = self.speechSynthesis.getVoices(); + + if (voices.length > 0 && settings.selectedVoiceId) { + const voice = voices.find( + (voice) => voice.voiceURI === settings.selectedVoiceId, + ); + + if (voice) { + utterance.voice = voice; + utterance.lang = voice.lang; + } + } + + utterance.onerror = () => { + addLogEntry("Failed to speak response"); + setIsSpeaking(false); + }; + + utterance.onend = () => setIsSpeaking(false); + + setIsSpeaking(true); + self.speechSynthesis.speak(utterance); + } + + return ( + + + + + + {textGenerationState === "generating" + ? "Generating AI Response..." + : "AI Response"} + + {textGenerationState === "interrupted" && ( + + Interrupted + + )} + + + {textGenerationState === "generating" ? ( + + setTextGenerationState("interrupted")} + variant="subtle" + color="gray" + > + + + + ) : ( + + searchAndRespond()} + variant="subtle" + color="gray" + > + + + + )} + + speakResponse(response)} + variant="subtle" + color={isSpeaking ? "blue" : "gray"} + > + + + + {settings.enableAiResponseScrolling ? ( + + { + setSettings({ + ...settings, + enableAiResponseScrolling: false, + }); + }} + variant="subtle" + color="gray" + > + + + + ) : ( + + { + setSettings({ + ...settings, + enableAiResponseScrolling: true, + }); + }} + variant="subtle" + color="gray" + > + + + + )} + + + + + + + + + + {response} + + + {textGenerationState === "failed" && ( + } + > + Could not generate response. Please try refreshing the page. + + )} + + + ); +} diff --git a/client/components/AiResponse/AiResponseSection.tsx b/client/components/AiResponse/AiResponseSection.tsx new file mode 100644 index 0000000000000000000000000000000000000000..3a6097c9f8cf61fbd38a6ba3d0dea5920015d2e4 --- /dev/null +++ b/client/components/AiResponse/AiResponseSection.tsx @@ -0,0 +1,108 @@ +import { CodeHighlightAdapterProvider } from "@mantine/code-highlight"; +import { usePubSub } from "create-pubsub/react"; +import { Suspense, lazy, useMemo } from "react"; +import { + modelLoadingProgressPubSub, + modelSizeInMegabytesPubSub, + queryPubSub, + responsePubSub, + settingsPubSub, + textGenerationStatePubSub, +} from "../../modules/pubSub"; +import { shikiAdapter } from "../../modules/shiki"; +import "@mantine/code-highlight/styles.css"; + +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); + const [modelSizeInMegabytes] = usePubSub(modelSizeInMegabytesPubSub); + + return useMemo(() => { + if (!settings.enableAiResponse || textGenerationState === "idle") { + return null; + } + + const generatingStates = [ + "generating", + "interrupted", + "completed", + "failed", + ]; + if (generatingStates.includes(textGenerationState)) { + return ( + + + + + {textGenerationState === "completed" && ( + + + + )} + + ); + } + + if (textGenerationState === "loadingModel") { + return ( + + + + ); + } + + if (textGenerationState === "preparingToGenerate") { + return ( + + + + ); + } + + if (textGenerationState === "awaitingSearchResults") { + return ( + + + + ); + } + + if (textGenerationState === "awaitingModelDownloadAllowance") { + return ( + + + + ); + } + + return null; + }, [ + settings.enableAiResponse, + textGenerationState, + response, + query, + modelLoadingProgress, + modelSizeInMegabytes, + setTextGenerationState, + ]); +} diff --git a/client/components/AiResponse/ChatHeader.tsx b/client/components/AiResponse/ChatHeader.tsx new file mode 100644 index 0000000000000000000000000000000000000000..05d06a23b106abf45d660111d53ba2be791a7de9 --- /dev/null +++ b/client/components/AiResponse/ChatHeader.tsx @@ -0,0 +1,37 @@ +import { Group, Text } from "@mantine/core"; +import type { ChatMessage } from "gpt-tokenizer/GptEncoding"; +import { Suspense, lazy } from "react"; + +const CopyIconButton = lazy(() => import("./CopyIconButton")); + +interface ChatHeaderProps { + messages: ChatMessage[]; +} + +function ChatHeader({ messages }: ChatHeaderProps) { + const getChatContent = () => { + return messages + .slice(2) + .map( + (msg, index) => + `${index + 1}. ${msg.role?.toUpperCase()}\n\n${msg.content}`, + ) + .join("\n\n"); + }; + + return ( + + Follow-up questions + {messages.length > 2 && ( + Loading...}> + + + )} + + ); +} + +export default ChatHeader; diff --git a/client/components/AiResponse/ChatInputArea.tsx b/client/components/AiResponse/ChatInputArea.tsx new file mode 100644 index 0000000000000000000000000000000000000000..949f2df9f943f54a9e9cde0db47781f205935464 --- /dev/null +++ b/client/components/AiResponse/ChatInputArea.tsx @@ -0,0 +1,96 @@ +import { Button, Group, Textarea } from "@mantine/core"; +import { usePubSub } from "create-pubsub/react"; +import { Suspense, lazy } from "react"; +import { + chatGenerationStatePubSub, + chatInputPubSub, + followUpQuestionPubSub, +} from "../../modules/pubSub"; + +const IconSend = lazy(() => + import("@tabler/icons-react").then((module) => ({ + default: module.IconSend, + })), +); + +interface ChatInputAreaProps { + onKeyDown: (event: React.KeyboardEvent) => void; + handleSend: (textToSend?: string) => void; +} + +function ChatInputArea({ onKeyDown, handleSend }: ChatInputAreaProps) { + const [input, setInput] = usePubSub(chatInputPubSub); + const [generationState] = usePubSub(chatGenerationStatePubSub); + const [followUpQuestion] = usePubSub(followUpQuestionPubSub); + + const isGenerating = + generationState.isGeneratingResponse && + !generationState.isGeneratingFollowUpQuestion; + + const placeholder = + followUpQuestion || "Anything else you would like to know?"; + + const onChange = (event: React.ChangeEvent) => { + setInput(event.target.value); + }; + const handleKeyDownWithPlaceholder = ( + event: React.KeyboardEvent, + ) => { + if (input.trim() === "" && followUpQuestion) { + if (event.key === "Enter" && !event.shiftKey) { + event.preventDefault(); + handleSend(followUpQuestion); + return; + } + } + + onKeyDown(event); + }; + + const handleSendWithPlaceholder = () => { + if (input.trim() === "" && followUpQuestion) { + handleSend(followUpQuestion); + } else { + handleSend(); + } + }; + + return ( + +