Spaces:

huggingchat
/

chat-ui

Running

+# Use .env.local to change these variables
+# DO NOT EDIT THIS FILE WITH SENSITIVE DATA
+MONGODB_URL=#your mongodb URL here
+MONGODB_DB_NAME=chat-ui
+MONGODB_DIRECT_CONNECTION=false
+COOKIE_NAME=hf-chat
+HF_ACCESS_TOKEN=#hf_<token> from from https://huggingface.co/settings/token
+HF_API_ROOT=https://api-inference.huggingface.co/models
+OPENAI_API_KEY=#your openai api key here
+# used to activate search with web functionality. disabled if none are defined. choose one of the following:
+YDC_API_KEY=#your docs.you.com api key here
+SERPER_API_KEY=#your serper.dev api key here
+SERPAPI_KEY=#your serpapi key here
+USE_LOCAL_WEBSEARCH=#set to true to parse google results yourself, overrides other API keys
+# Parameters to enable open id login
+OPENID_CONFIG=`{
+  "PROVIDER_URL": "",
+  "CLIENT_ID": "",
+  "CLIENT_SECRET": "",
+  "SCOPES": ""
+}`
+# /!\ legacy openid settings, prefer the config above
+OPENID_CLIENT_ID=
+OPENID_CLIENT_SECRET=
+OPENID_SCOPES="openid profile" # Add "email" for some providers like Google that do not provide preferred_username
+OPENID_PROVIDER_URL=https://huggingface.co # for Google, use https://accounts.google.com
+OPENID_TOLERANCE=
+OPENID_RESOURCE=
+# Parameters to enable a global mTLS context for client fetch requests
+USE_CLIENT_CERTIFICATE=false
+CERT_PATH=#
+KEY_PATH=#
+CA_PATH=#
+CLIENT_KEY_PASSWORD=#
+REJECT_UNAUTHORIZED=true
+# 'name', 'userMessageToken', 'assistantMessageToken' are required
+MODELS=`[
+  {
+    "name": "OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5",
+    "datasetName": "OpenAssistant/oasst1",
+    "description": "A good alternative to ChatGPT",
+    "websiteUrl": "https://open-assistant.io",
+    "userMessageToken": "<|prompter|>",
+    "assistantMessageToken": "<|assistant|>",
+    "messageEndToken": "</s>",
+    "preprompt": "Below are a series of dialogues between various people and an AI assistant. The AI tries to be helpful, polite, honest, sophisticated, emotionally aware, and humble-but-knowledgeable. The assistant is happy to help with almost anything, and will do its best to understand exactly what is needed. It also tries to avoid giving false or misleading information, and it caveats when it isn't entirely sure about the right answer. That said, the assistant is practical and really does its best, and doesn't let caution get too much in the way of being useful.\n-----\n",
+    "promptExamples": [
+      {
+        "title": "Write an email from bullet list",
+        "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)"
+      }, {
+        "title": "Code a snake game",
+        "prompt": "Code a basic snake game in python, give explanations for each step."
+      }, {
+        "title": "Assist in a task",
+        "prompt": "How do I make a delicious lemon cheesecake?"
+      }
+    ],
+    "parameters": {
+      "temperature": 0.9,
+      "top_p": 0.95,
+      "repetition_penalty": 1.2,
+      "top_k": 50,
+      "truncate": 1000,
+      "max_new_tokens": 1024
+    }
+  }
+]`
+OLD_MODELS=`[]`# any removed models, `{ name: string, displayName?: string, id?: string }`
+TASK_MODEL='' # name of the model used for tasks such as summarizing title, creating query, etc.
+PUBLIC_ORIGIN=#https://huggingface.co
+PUBLIC_SHARE_PREFIX=#https://hf.co/chat
+PUBLIC_GOOGLE_ANALYTICS_ID=#G-XXXXXXXX / Leave empty to disable
+PUBLIC_ANNOUNCEMENT_BANNERS=`[
+    {
+    "title": "Llama v2 is live on HuggingChat! 🦙",
+    "linkTitle": "Announcement",
+    "linkHref": "https://huggingface.co/blog/llama2"
+  }
+]`
+PARQUET_EXPORT_DATASET=
+PARQUET_EXPORT_HF_TOKEN=
+PARQUET_EXPORT_SECRET=
+RATE_LIMIT= # requests per minute
+MESSAGES_BEFORE_LOGIN=# how many messages a user can send in a conversation before having to login. set to 0 to force login right away
+PUBLIC_APP_NAME=ChatUI # name used as title throughout the app
+PUBLIC_APP_ASSETS=chatui # used to find logos & favicons in static/$PUBLIC_APP_ASSETS
+PUBLIC_APP_COLOR=blue # can be any of tailwind colors: https://tailwindcss.com/docs/customizing-colors#default-color-palette
+PUBLIC_APP_DESCRIPTION=# description used throughout the app (if not set, a default one will be used)
+PUBLIC_APP_DATA_SHARING=#set to 1 to enable options & text regarding data sharing
+PUBLIC_APP_DISCLAIMER=#set to 1 to show a disclaimer on login page
+LLM_SUMMERIZATION=true
+# PUBLIC_APP_NAME=HuggingChat
+# PUBLIC_APP_ASSETS=huggingchat
+# PUBLIC_APP_COLOR=yellow
+# PUBLIC_APP_DESCRIPTION="Making the community's best AI chat models available to everyone."
+# PUBLIC_APP_DATA_SHARING=1
+# PUBLIC_APP_DISCLAIMER=1

.env.template ADDED Viewed

	@@ -0,0 +1,180 @@

+# template used in production for HuggingChat.
+MODELS=`[
+    {
+      "name": "meta-llama/Llama-2-70b-chat-hf",
+      "description": "The latest and biggest model from Meta, fine-tuned for chat.",
+      "websiteUrl": "https://ai.meta.com/llama/",
+      "userMessageToken": "",
+      "userMessageEndToken": " [/INST] ",
+      "assistantMessageToken": "",
+      "assistantMessageEndToken": " </s><s>[INST] ",
+      "preprompt": " ",
+      "chatPromptTemplate" : "<s>[INST] <<SYS>>\n{{preprompt}}\n<</SYS>>\n\n{{#each messages}}{{#ifUser}}{{content}} [/INST] {{/ifUser}}{{#ifAssistant}}{{content}} </s><s>[INST] {{/ifAssistant}}{{/each}}",
+      "promptExamples": [
+        {
+          "title": "Write an email from bullet list",
+          "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)"
+        }, {
+          "title": "Code a snake game",
+          "prompt": "Code a basic snake game in python, give explanations for each step."
+        }, {
+          "title": "Assist in a task",
+          "prompt": "How do I make a delicious lemon cheesecake?"
+        }
+      ],
+      "parameters": {
+        "temperature": 0.1,
+        "top_p": 0.95,
+        "repetition_penalty": 1.2,
+        "top_k": 50,
+        "truncate": 3072,
+        "max_new_tokens": 1024
+      }
+    },
+    {
+      "name": "codellama/CodeLlama-34b-Instruct-hf",
+      "displayName": "codellama/CodeLlama-34b-Instruct-hf",
+      "description": "Code Llama, a state of the art code model from Meta.",
+      "websiteUrl": "https://about.fb.com/news/2023/08/code-llama-ai-for-coding/",
+      "userMessageToken": "",
+      "userMessageEndToken": " [/INST] ",
+      "assistantMessageToken": "",
+      "assistantMessageEndToken": " </s><s>[INST] ",
+      "preprompt": " ",
+      "chatPromptTemplate" : "<s>[INST] <<SYS>>\n{{preprompt}}\n<</SYS>>\n\n{{#each messages}}{{#ifUser}}{{content}} [/INST] {{/ifUser}}{{#ifAssistant}}{{content}} </s><s>[INST] {{/ifAssistant}}{{/each}}",
+      "promptExamples": [
+        {
+          "title": "Fibonacci in Python",
+          "prompt": "Write a python function to calculate the nth fibonacci number."
+        }, {
+          "title": "JavaScript promises",
+          "prompt": "How can I wait for multiple JavaScript promises to fulfill before doing something with their values?"
+        }, {
+          "title": "Rust filesystem",
+          "prompt": "How can I load a file from disk in Rust?"
+        }
+      ],
+      "parameters": {
+        "temperature": 0.1,
+        "top_p": 0.95,
+        "repetition_penalty": 1.2,
+        "top_k": 50,
+        "truncate": 4096,
+        "max_new_tokens": 4096
+      }
+      },
+      {
+        "name": "tiiuae/falcon-180B-chat",
+        "displayName": "tiiuae/falcon-180B-chat",
+        "description": "Falcon-180B is a 180B parameters causal decoder-only model built by TII and trained on 3,500B tokens.",
+        "websiteUrl": "https://www.tii.ae/news/technology-innovation-institute-introduces-worlds-most-powerful-open-llm-falcon-180b",
+        "preprompt": " ",
+        "chatPromptTemplate": "System: {{preprompt}}\nUser:{{#each messages}}{{#ifUser}}{{content}}\nFalcon:{{/ifUser}}{{#ifAssistant}}{{content}}\nUser:{{/ifAssistant}}{{/each}}",
+        "parameters": {
+          "temperature": 0.1,
+          "top_p": 0.95,
+          "repetition_penalty": 1.2,
+          "top_k": 50,
+          "truncate": 1024,
+          "max_new_tokens": 1024,
+          "stop": ["User:"]
+      },
+          "promptExamples": [
+        {
+          "title": "Write an email from bullet list",
+          "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)"
+        }, {
+          "title": "Code a snake game",
+          "prompt": "Code a basic snake game in python, give explanations for each step."
+        }, {
+          "title": "Assist in a task",
+          "prompt": "How do I make a delicious lemon cheesecake?"
+        }
+      ]
+    },
+    {
+      "name": "mistralai/Mistral-7B-Instruct-v0.1",
+      "displayName": "mistralai/Mistral-7B-Instruct-v0.1",
+      "description": "Mistral 7B is a new Apache 2.0 model, released by Mistral AI that outperforms Llama2 13B in benchmarks.",
+      "websiteUrl": "https://mistral.ai/news/announcing-mistral-7b/",
+      "preprompt": "",
+      "chatPromptTemplate" : "<s>{{#each messages}}{{#ifUser}}[INST] {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}}{{content}} [/INST]{{/ifUser}}{{#ifAssistant}}{{content}}</s>{{/ifAssistant}}{{/each}}",
+      "parameters": {
+        "temperature": 0.1,
+        "top_p": 0.95,
+        "repetition_penalty": 1.2,
+        "top_k": 50,
+        "truncate": 3072,
+        "max_new_tokens": 1024,
+        "stop": ["</s>"]
+      },
+      "promptExamples": [
+        {
+          "title": "Write an email from bullet list",
+          "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)"
+        }, {
+          "title": "Code a snake game",
+          "prompt": "Code a basic snake game in python, give explanations for each step."
+        }, {
+          "title": "Assist in a task",
+          "prompt": "How do I make a delicious lemon cheesecake?"
+        }
+      ]
+    },
+      {
+    "name": "openchat/openchat_3.5",
+    "displayName": "openchat/openchat_3.5",
+    "description": "OpenChat 3.5 is the #1 model on MT-Bench, with only 7B parameters.",
+    "websiteUrl": "https://huggingface.co/openchat/openchat_3.5",
+    "preprompt": "",
+    "chatPromptTemplate" : "<s>{{#each messages}}{{#ifUser}}GPT4 Correct User: {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}}{{content}}<|end_of_turn|>GPT4 Correct Assistant:{{/ifUser}}{{#ifAssistant}}{{content}}<|end_of_turn|>{{/ifAssistant}}{{/each}}",
+    "parameters": {
+      "temperature": 0.6,
+      "top_p": 0.95,
+      "repetition_penalty": 1.2,
+      "top_k": 50,
+      "truncate": 6016,
+      "max_new_tokens": 2048,
+      "stop": ["<|end_of_turn|>"]
+    },
+    "promptExamples": [
+      {
+        "title": "Write an email from bullet list",
+        "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)"
+      }, {
+        "title": "Code a snake game",
+        "prompt": "Code a basic snake game in python, give explanations for each step."
+      }, {
+        "title": "Assist in a task",
+        "prompt": "How do I make a delicious lemon cheesecake?"
+      }
+    ]
+  }
+]`
+OLD_MODELS=`[{"name":"bigcode/starcoder"}, {"name":"OpenAssistant/oasst-sft-6-llama-30b-xor"}, {"name":"HuggingFaceH4/zephyr-7b-alpha"}]`
+TASK_MODEL='mistralai/Mistral-7B-Instruct-v0.1'
+APP_BASE="/chat"
+PUBLIC_ORIGIN=https://huggingface.co
+PUBLIC_SHARE_PREFIX=https://hf.co/chat
+PUBLIC_ANNOUNCEMENT_BANNERS=`[]`
+PUBLIC_APP_NAME=HuggingChat
+PUBLIC_APP_ASSETS=huggingchat
+PUBLIC_APP_COLOR=yellow
+PUBLIC_APP_DESCRIPTION="Making the community's best AI chat models available to everyone."
+PUBLIC_APP_DATA_SHARING=1
+PUBLIC_APP_DISCLAIMER=1
+RATE_LIMIT=16
+MESSAGES_BEFORE_LOGIN=5# how many messages a user can send in a conversation before having to login. set to 0 to force login right away
+PUBLIC_GOOGLE_ANALYTICS_ID=G-8Q63TH4CSL
+# Not part of the .env but set as other variables in the space
+# ADDRESS_HEADER=X-Forwarded-For
+# XFF_DEPTH=2

.eslintignore ADDED Viewed

	@@ -0,0 +1,13 @@

+.DS_Store
+node_modules
+/build
+/.svelte-kit
+/package
+.env
+.env.*
+!.env.example
+# Ignore files for PNPM, NPM and YARN
+pnpm-lock.yaml
+package-lock.json
+yarn.lock

.eslintrc.cjs ADDED Viewed

	@@ -0,0 +1,43 @@

+module.exports = {
+	root: true,
+	parser: "@typescript-eslint/parser",
+	extends: [
+		"eslint:recommended",
+		"plugin:@typescript-eslint/recommended",
+		"plugin:svelte/recommended",
+		"prettier",
+	],
+	plugins: ["@typescript-eslint"],
+	ignorePatterns: ["*.cjs"],
+	overrides: [
+		{
+			files: ["*.svelte"],
+			parser: "svelte-eslint-parser",
+			parserOptions: {
+				parser: "@typescript-eslint/parser",
+			},
+		},
+	],
+	parserOptions: {
+		sourceType: "module",
+		ecmaVersion: 2020,
+		extraFileExtensions: [".svelte"],
+	},
+	rules: {
+		"no-shadow": ["error"],
+		"@typescript-eslint/no-explicit-any": "error",
+		"@typescript-eslint/no-non-null-assertion": "error",
+		"@typescript-eslint/no-unused-vars": [
+			// prevent variables with a _ prefix from being marked as unused
+			"error",
+			{
+				argsIgnorePattern: "^_",
+			},
+		],
+	},
+	env: {
+		browser: true,
+		es2017: true,
+		node: true,
+	},
+};

.github/workflows/deploy-release.yml ADDED Viewed

	@@ -0,0 +1,43 @@

+name: Deploy to production
+on:
+  release:
+    types: [released]
+  # to run this workflow manually from the Actions tab
+  workflow_dispatch:
+jobs:
+  update-env:
+    runs-on: ubuntu-latest
+    timeout-minutes: 10
+    steps:
+      - uses: actions/checkout@v3
+      - uses: actions/setup-node@v3
+        with:
+          node-version: "20"
+          cache: "npm"
+      - run: npm install ci
+      - name: "Update DOTENV_LOCAL in prod"
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+          SERPER_API_KEY: ${{ secrets.SERPER_API_KEY }}
+          OPENID_CONFIG: ${{ secrets.OPENID_CONFIG }}
+          MONGODB_URL: ${{ secrets.MONGODB_URL }}
+          HF_ACCESS_TOKEN: ${{ secrets.HF_ACCESS_TOKEN }}
+        run: npm run updateProdEnv
+  sync-to-hub:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check large files
+        uses: ActionsDesk/[email protected]
+        with:
+          filesizelimit: 10485760 # this is 10MB so we can sync to HF Spaces
+      - uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+          lfs: true
+      - name: Push to hub
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: git push https://nsarrazin:[email protected]/spaces/huggingchat/chat-ui main

.github/workflows/deploy-staging.yml ADDED Viewed

	@@ -0,0 +1,24 @@

+name: Deploy to staging environment
+on:
+  push:
+    branches: [main]
+  # to run this workflow manually from the Actions tab
+  workflow_dispatch:
+jobs:
+  sync-to-hub:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check large files
+        uses: ActionsDesk/[email protected]
+        with:
+          filesizelimit: 10485760 # this is 10MB so we can sync to HF Spaces
+      - uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+          lfs: true
+      - name: Push to hub
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: git push https://nsarrazin:[email protected]/spaces/huggingchat/chat-ui-staging main

.github/workflows/lint-and-test.yml ADDED Viewed

	@@ -0,0 +1,56 @@

+name: Lint and test
+on:
+  pull_request:
+  push:
+    branches:
+      - main
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+    timeout-minutes: 10
+    steps:
+      - uses: actions/checkout@v3
+      - uses: actions/setup-node@v3
+        with:
+          node-version: "20"
+          cache: "npm"
+      - run: |
+          npm install ci
+      - name: "Checking lint/format errors"
+        run: |
+          npm run lint
+      - name: "Checking type errors"
+        run: |
+          npm run check
+  test:
+    runs-on: ubuntu-latest
+    timeout-minutes: 10
+    services:
+      mongodb:
+        image: mongo:6.0.5
+        ports:
+          - 27017:27017
+    steps:
+      - uses: actions/checkout@v3
+      - uses: actions/setup-node@v3
+        with:
+          node-version: "20"
+          cache: "npm"
+      - run: |
+          npm ci
+      - name: "Tests"
+        run: |
+          npm run test
+  build-check:
+    runs-on: ubuntu-latest
+    timeout-minutes: 10
+    steps:
+      - uses: actions/checkout@v3
+      - name: Build Docker image
+        run: docker build --secret id=DOTENV_LOCAL,src=conf/.env.ci -t chat-ui:latest .

.gitignore ADDED Viewed

	@@ -0,0 +1,14 @@

+.DS_Store
+node_modules
+/build
+/.svelte-kit
+/package
+.env
+.env.*
+!.env.example
+!.env.template
+vite.config.js.timestamp-*
+vite.config.ts.timestamp-*
+SECRET_CONFIG
+.idea
+!conf/.env.ci

.npmrc ADDED Viewed

	@@ -0,0 +1 @@


1	+ engine-strict=true

.prettierignore ADDED Viewed

	@@ -0,0 +1,13 @@

+.DS_Store
+node_modules
+/build
+/.svelte-kit
+/package
+.env
+.env.*
+!.env.example
+# Ignore files for PNPM, NPM and YARN
+pnpm-lock.yaml
+package-lock.json
+yarn.lock

.prettierrc ADDED Viewed

	@@ -0,0 +1,8 @@

+{
+	"useTabs": true,
+	"trailingComma": "es5",
+	"printWidth": 100,
+	"plugins": ["prettier-plugin-svelte", "prettier-plugin-tailwindcss"],
+	"pluginSearchDirs": ["."],
+	"overrides": [{ "files": "*.svelte", "options": { "parser": "svelte" } }]
+}

.vscode/settings.json ADDED Viewed

	@@ -0,0 +1,8 @@

+{
+	"editor.formatOnSave": true,
+	"editor.defaultFormatter": "esbenp.prettier-vscode",
+	"editor.codeActionsOnSave": {
+		"source.fixAll": true
+	},
+	"eslint.validate": ["javascript", "svelte"]
+}

Dockerfile ADDED Viewed

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+# syntax=docker/dockerfile:1
+# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
+# you will also find guides on how best to write your Dockerfile
+FROM node:19 as builder-production
+WORKDIR /app
+COPY --link --chown=1000 package-lock.json package.json ./
+RUN --mount=type=cache,target=/app/.npm \
+        npm set cache /app/.npm && \
+        npm ci --omit=dev
+FROM builder-production as builder
+RUN --mount=type=cache,target=/app/.npm \
+        npm set cache /app/.npm && \
+        npm ci
+COPY --link --chown=1000 . .
+RUN --mount=type=secret,id=DOTENV_LOCAL,dst=.env.local \
+    npm run build
+FROM node:19-slim
+RUN npm install -g pm2
+COPY --from=builder-production /app/node_modules /app/node_modules
+COPY --link --chown=1000 package.json /app/package.json
+COPY --from=builder /app/build /app/build
+CMD pm2 start /app/build/index.js -i $CPU_CORES --no-daemon

LICENSE ADDED Viewed

	@@ -0,0 +1,203 @@

+Copyright 2018- The Hugging Face team. All rights reserved.
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+   1. Definitions.
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
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PRIVACY.md ADDED Viewed

	@@ -0,0 +1,36 @@

+## Privacy
+> Last updated: October 4, 2023
+Users of HuggingChat are authenticated through their HF user account.
+By default, your conversations may be shared with the respective models' authors to improve their training data and model over time. Model authors are the custodians of the data collected by their model, even if it's hosted on our platform.
+If you disable data sharing in your settings, your conversations will not be used for any downstream usage (including for research or model training purposes), and they will only be stored to let you access past conversations. You can click on the Delete icon to delete any past conversation at any moment.
+🗓 Please also consult huggingface.co's main privacy policy at <https://huggingface.co/privacy>. To exercise any of your legal privacy rights, please send an email to <[email protected]>.
+## About available LLMs
+The goal of this app is to showcase that it is now possible to build an open source alternative to ChatGPT. 💪
+For now (October 2023), it's running:
+- [Llama 2 70B](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf)
+- [CodeLlama 35B](https://about.fb.com/news/2023/08/code-llama-ai-for-coding/)
+- [Falcon 180B](https://www.tii.ae/news/technology-innovation-institute-introduces-worlds-most-powerful-open-llm-falcon-180b)
+- [Mistral 7B](https://mistral.ai/news/announcing-mistral-7b/)
+## Technical details
+This app is running in a [Space](https://huggingface.co/docs/hub/spaces-overview), which entails that the code for this UI is publicly visible [inside the Space repo](https://huggingface.co/spaces/huggingchat/chat-ui/tree/main).
+**Further development takes place on the [huggingface/chat-ui GitHub repo](https://github.com/huggingface/chat-ui).**
+The inference backend is running the optimized [text-generation-inference](https://github.com/huggingface/text-generation-inference) on HuggingFace's Inference API infrastructure.
+It is therefore possible to deploy a copy of this app to a Space and customize it (swap model, add some UI elements, or store user messages according to your own Terms and conditions). You can also 1-click deploy your own instance using the [Chat UI Spaces Docker template](https://huggingface.co/new-space?template=huggingchat/chat-ui-template).
+We welcome any feedback on this app: please participate to the public discussion at <https://huggingface.co/spaces/huggingchat/chat-ui/discussions>
+<a target="_blank" href="https://huggingface.co/spaces/huggingchat/chat-ui/discussions"><img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-a-discussion-xl.svg" title="open a discussion"></a>

PROMPTS.md ADDED Viewed

	@@ -0,0 +1,45 @@

+# Prompt templates
+These are the templates used to format the conversation history for different models used in HuggingChat. Set them in your `.env.local` [like so](https://github.com/huggingface/chat-ui#chatprompttemplate).
+## Llama 2
+```env
+<s>[INST] <<SYS>>\n{{preprompt}}\n<</SYS>>\n\n{{#each messages}}{{#ifUser}}{{content}} [/INST] {{/ifUser}}{{#ifAssistant}}{{content}} </s><s>[INST] {{/ifAssistant}}{{/each}}
+```
+## CodeLlama
+```env
+<s>[INST] <<SYS>>\n{{preprompt}}\n<</SYS>>\n\n{{#each messages}}{{#ifUser}}{{content}} [/INST] {{/ifUser}}{{#ifAssistant}}{{content}} </s><s>[INST] {{/ifAssistant}}{{/each}}
+```
+## Falcon
+```env
+System: {{preprompt}}\nUser:{{#each messages}}{{#ifUser}}{{content}}\nFalcon:{{/ifUser}}{{#ifAssistant}}{{content}}\nUser:{{/ifAssistant}}{{/each}}
+```
+## Mistral
+```env
+<s>{{#each messages}}{{#ifUser}}[INST] {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}} {{content}} [/INST]{{/ifUser}}{{#ifAssistant}}{{content}}</s> {{/ifAssistant}}{{/each}}
+```
+## Zephyr
+```env
+<|system|>\n{{preprompt}}</s>\n{{#each messages}}{{#ifUser}}<|user|>\n{{content}}</s>\n<|assistant|>\n{{/ifUser}}{{#ifAssistant}}{{content}}</s>\n{{/ifAssistant}}{{/each}}
+```
+## IDEFICS
+```env
+{{#each messages}}{{#ifUser}}User: {{content}}{{/ifUser}}<end_of_utterance>\nAssistant: {{#ifAssistant}}{{content}}\n{{/ifAssistant}}{{/each}}
+```
+## OpenChat
+```env
+<s>{{#each messages}}{{#ifUser}}GPT4 User: {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}}{{content}}<|end_of_turn|>GPT4 Assistant: {{/ifUser}}{{#ifAssistant}}{{content}}<|end_of_turn|>{{/ifAssistant}}{{/each}}
+```

README.md CHANGED Viewed

@@ -3,5 +3,438 @@ title: chat-ui
 emoji: 🔥
 colorFrom: purple
 colorTo: purple
-sdk: static
 ---

 emoji: 🔥
 colorFrom: purple
 colorTo: purple
+sdk: docker
+pinned: false
+license: apache-2.0
+base_path: /chat
+app_port: 3000
 ---
+# Chat UI
+![Chat UI repository thumbnail](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/chatui-websearch.png)
+A chat interface using open source models, eg OpenAssistant or Llama. It is a SvelteKit app and it powers the [HuggingChat app on hf.co/chat](https://huggingface.co/chat).
+0. [No Setup Deploy](#no-setup-deploy)
+1. [Setup](#setup)
+2. [Launch](#launch)
+3. [Web Search](#web-search)
+4. [Extra parameters](#extra-parameters)
+5. [Deploying to a HF Space](#deploying-to-a-hf-space)
+6. [Building](#building)
+##  No Setup Deploy
+If you don't want to configure, setup, and launch your own Chat UI yourself, you can use this option as a fast deploy alternative.
+You can deploy your own customized Chat UI instance with any supported [LLM](https://huggingface.co/models?pipeline_tag=text-generation&sort=trending) of your choice on [Hugging Face Spaces](https://huggingface.co/spaces). To do so, use the chat-ui template [available here](https://huggingface.co/new-space?template=huggingchat/chat-ui-template).
+Set `HUGGING_FACE_HUB_TOKEN` in [Space secrets](https://huggingface.co/docs/hub/spaces-overview#managing-secrets-and-environment-variables) to deploy a model with gated access or a model in a private repository. It's also compatible with [Inference for PROs](https://huggingface.co/blog/inference-pro) curated list of powerful models with higher rate limits. Make sure to create your personal token first in your [User Access Tokens settings](https://huggingface.co/settings/tokens).
+Read the full tutorial [here](https://huggingface.co/docs/hub/spaces-sdks-docker-chatui#chatui-on-spaces).
+## Setup
+The default config for Chat UI is stored in the `.env` file. You will need to override some values to get Chat UI to run locally. This is done in `.env.local`.
+Start by creating a `.env.local` file in the root of the repository. The bare minimum config you need to get Chat UI to run locally is the following:
+```env
+MONGODB_URL=<the URL to your MongoDB instance>
+HF_ACCESS_TOKEN=<your access token>
+```
+### Database
+The chat history is stored in a MongoDB instance, and having a DB instance available is needed for Chat UI to work.
+You can use a local MongoDB instance. The easiest way is to spin one up using docker:
+```bash
+docker run -d -p 27017:27017 --name mongo-chatui mongo:latest
+```
+In which case the url of your DB will be `MONGODB_URL=mongodb://localhost:27017`.
+Alternatively, you can use a [free MongoDB Atlas](https://www.mongodb.com/pricing) instance for this, Chat UI should fit comfortably within their free tier. After which you can set the `MONGODB_URL` variable in `.env.local` to match your instance.
+### Hugging Face Access Token
+If you use a remote inference endpoint, you will need a Hugging Face access token to run Chat UI locally. You can get one from [your Hugging Face profile](https://huggingface.co/settings/tokens).
+## Launch
+After you're done with the `.env.local` file you can run Chat UI locally with:
+```bash
+npm install
+npm run dev
+```
+## Web Search
+Chat UI features a powerful Web Search feature. It works by:
+1. Generating an appropriate search query from the user prompt.
+2. Performing web search and extracting content from webpages.
+3. Creating embeddings from texts using [transformers.js](https://huggingface.co/docs/transformers.js). Specifically, using [Xenova/gte-small](https://huggingface.co/Xenova/gte-small) model.
+4. From these embeddings, find the ones that are closest to the user query using a vector similarity search. Specifically, we use `inner product` distance.
+5. Get the corresponding texts to those closest embeddings and perform [Retrieval-Augmented Generation](https://huggingface.co/papers/2005.11401) (i.e. expand user prompt by adding those texts so that an LLM can use this information).
+## Extra parameters
+### OpenID connect
+The login feature is disabled by default and users are attributed a unique ID based on their browser. But if you want to use OpenID to authenticate your users, you can add the following to your `.env.local` file:
+```env
+OPENID_CONFIG=`{
+  PROVIDER_URL: "<your OIDC issuer>",
+  CLIENT_ID: "<your OIDC client ID>",
+  CLIENT_SECRET: "<your OIDC client secret>",
+  SCOPES: "openid profile",
+  TOLERANCE: // optional
+  RESOURCE: // optional
+}`
+```
+These variables will enable the openID sign-in modal for users.
+### Theming
+You can use a few environment variables to customize the look and feel of chat-ui. These are by default:
+```env
+PUBLIC_APP_NAME=ChatUI
+PUBLIC_APP_ASSETS=chatui
+PUBLIC_APP_COLOR=blue
+PUBLIC_APP_DESCRIPTION="Making the community's best AI chat models available to everyone."
+PUBLIC_APP_DATA_SHARING=
+PUBLIC_APP_DISCLAIMER=
+```
+- `PUBLIC_APP_NAME` The name used as a title throughout the app.
+- `PUBLIC_APP_ASSETS` Is used to find logos & favicons in `static/$PUBLIC_APP_ASSETS`, current options are `chatui` and `huggingchat`.
+- `PUBLIC_APP_COLOR` Can be any of the [tailwind colors](https://tailwindcss.com/docs/customizing-colors#default-color-palette).
+- `PUBLIC_APP_DATA_SHARING` Can be set to 1 to add a toggle in the user settings that lets your users opt-in to data sharing with models creator.
+- `PUBLIC_APP_DISCLAIMER` If set to 1, we show a disclaimer about generated outputs on login.
+### Web Search config
+You can enable the web search through an API by adding `YDC_API_KEY` ([docs.you.com](https://docs.you.com)) or `SERPER_API_KEY` ([serper.dev](https://serper.dev/)) or `SERPAPI_KEY` ([serpapi.com](https://serpapi.com/)) to your `.env.local`.
+You can also simply enable the local websearch by setting `USE_LOCAL_WEBSEARCH=true` in your `.env.local`.
+### Custom models
+You can customize the parameters passed to the model or even use a new model by updating the `MODELS` variable in your `.env.local`. The default one can be found in `.env` and looks like this :
+```env
+MODELS=`[
+  {
+    "name": "OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5",
+    "datasetName": "OpenAssistant/oasst1",
+    "description": "A good alternative to ChatGPT",
+    "websiteUrl": "https://open-assistant.io",
+    "userMessageToken": "<|prompter|>", # This does not need to be a token, can be any string
+    "assistantMessageToken": "<|assistant|>", # This does not need to be a token, can be any string
+    "userMessageEndToken": "<|endoftext|>", # Applies only to user messages. Can be any string.
+    "assistantMessageEndToken": "<|endoftext|>", # Applies only to assistant messages. Can be any string.
+    "preprompt": "Below are a series of dialogues between various people and an AI assistant. The AI tries to be helpful, polite, honest, sophisticated, emotionally aware, and humble but knowledgeable. The assistant is happy to help with almost anything and will do its best to understand exactly what is needed. It also tries to avoid giving false or misleading information, and it caveats when it isn't entirely sure about the right answer. That said, the assistant is practical and really does its best, and doesn't let caution get too much in the way of being useful.\n-----\n",
+    "promptExamples": [
+      {
+        "title": "Write an email from bullet list",
+        "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)"
+      }, {
+        "title": "Code a snake game",
+        "prompt": "Code a basic snake game in python and give explanations for each step."
+      }, {
+        "title": "Assist in a task",
+        "prompt": "How do I make a delicious lemon cheesecake?"
+      }
+    ],
+    "parameters": {
+      "temperature": 0.9,
+      "top_p": 0.95,
+      "repetition_penalty": 1.2,
+      "top_k": 50,
+      "truncate": 1000,
+      "max_new_tokens": 1024,
+      "stop": ["<|endoftext|>"]  # This does not need to be tokens, can be any list of strings
+    }
+  }
+]`
+```
+You can change things like the parameters, or customize the preprompt to better suit your needs. You can also add more models by adding more objects to the array, with different preprompts for example.
+#### chatPromptTemplate
+When querying the model for a chat response, the `chatPromptTemplate` template is used. `messages` is an array of chat messages, it has the format `[{ content: string }, ...]`. To identify if a message is a user message or an assistant message the `ifUser` and `ifAssistant` block helpers can be used.
+The following is the default `chatPromptTemplate`, although newlines and indentiation have been added for readability. You can find the prompts used in production for HuggingChat [here](https://github.com/huggingface/chat-ui/blob/main/PROMPTS.md).
+```prompt
+{{preprompt}}
+{{#each messages}}
+  {{#ifUser}}{{@root.userMessageToken}}{{content}}{{@root.userMessageEndToken}}{{/ifUser}}
+  {{#ifAssistant}}{{@root.assistantMessageToken}}{{content}}{{@root.assistantMessageEndToken}}{{/ifAssistant}}
+{{/each}}
+{{assistantMessageToken}}
+```
+#### Multi modal model
+We currently only support IDEFICS as a multimodal model, hosted on TGI. You can enable it by using the followin config (if you have a PRO HF Api token):
+```env
+    {
+      "name": "HuggingFaceM4/idefics-80b-instruct",
+      "multimodal" : true,
+      "description": "IDEFICS is the new multimodal model by Hugging Face.",
+      "preprompt": "",
+      "chatPromptTemplate" : "{{#each messages}}{{#ifUser}}User: {{content}}{{/ifUser}}<end_of_utterance>\nAssistant: {{#ifAssistant}}{{content}}\n{{/ifAssistant}}{{/each}}",
+      "parameters": {
+        "temperature": 0.1,
+        "top_p": 0.95,
+        "repetition_penalty": 1.2,
+        "top_k": 12,
+        "truncate": 1000,
+        "max_new_tokens": 1024,
+        "stop": ["<end_of_utterance>", "User:", "\nUser:"]
+      }
+    }
+```
+#### Running your own models using a custom endpoint
+If you want to, instead of hitting models on the Hugging Face Inference API, you can run your own models locally.
+A good option is to hit a [text-generation-inference](https://github.com/huggingface/text-generation-inference) endpoint. This is what is done in the official [Chat UI Spaces Docker template](https://huggingface.co/new-space?template=huggingchat/chat-ui-template) for instance: both this app and a text-generation-inference server run inside the same container.
+To do this, you can add your own endpoints to the `MODELS` variable in `.env.local`, by adding an `"endpoints"` key for each model in `MODELS`.
+```env
+{
+// rest of the model config here
+"endpoints": [{
+  "type" : "tgi",
+  "url": "https://HOST:PORT",
+  }]
+}
+```
+If `endpoints` are left unspecified, ChatUI will look for the model on the hosted Hugging Face inference API using the model name.
+##### OpenAI API compatible models
+Chat UI can be used with any API server that supports OpenAI API compatibility, for example [text-generation-webui](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/openai), [LocalAI](https://github.com/go-skynet/LocalAI), [FastChat](https://github.com/lm-sys/FastChat/blob/main/docs/openai_api.md), [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), and [ialacol](https://github.com/chenhunghan/ialacol).
+The following example config makes Chat UI works with [text-generation-webui](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/openai), the `endpoint.baseUrl` is the url of the OpenAI API compatible server, this overrides the baseUrl to be used by OpenAI instance. The `endpoint.completion` determine which endpoint to be used, default is `chat_completions` which uses `v1/chat/completions`, change to `endpoint.completion` to `completions` to use the `v1/completions` endpoint.
+```
+MODELS=`[
+  {
+    "name": "text-generation-webui",
+    "id": "text-generation-webui",
+    "parameters": {
+      "temperature": 0.9,
+      "top_p": 0.95,
+      "repetition_penalty": 1.2,
+      "top_k": 50,
+      "truncate": 1000,
+      "max_new_tokens": 1024,
+      "stop": []
+    },
+    "endpoints": [{
+      "type" : "openai",
+      "baseURL": "http://localhost:8000/v1"
+    }]
+  }
+]`
+```
+The `openai` type includes official OpenAI models. You can add, for example, GPT4/GPT3.5 as a "openai" model:
+```
+OPENAI_API_KEY=#your openai api key here
+MODELS=`[{
+      "name": "gpt-4",
+      "displayName": "GPT 4",
+      "endpoints" : [{
+        "type": "openai"
+      }]
+},
+      {
+      "name": "gpt-3.5-turbo",
+      "displayName": "GPT 3.5 Turbo",
+      "endpoints" : [{
+        "type": "openai"
+      }]
+}]`
+```
+##### Llama.cpp API server
+chat-ui also supports the llama.cpp API server directly without the need for an adapter. You can do this using the `llamacpp` endpoint type.
+If you want to run chat-ui with llama.cpp, you can do the following, using Zephyr as an example model:
+1. Get [the weights](https://huggingface.co/TheBloke/zephyr-7B-beta-GGUF/tree/main) from the hub
+2. Run the server with the following command: `./server -m models/zephyr-7b-beta.Q4_K_M.gguf -c 2048 -np 3`
+3. Add the following to your `.env.local`:
+```env
+MODELS=[
+  {
+      "name": "Local Zephyr",
+      "chatPromptTemplate": "<|system|>\n{{preprompt}}</s>\n{{#each messages}}{{#ifUser}}<|user|>\n{{content}}</s>\n<|assistant|>\n{{/ifUser}}{{#ifAssistant}}{{content}}</s>\n{{/ifAssistant}}{{/each}}",
+      "parameters": {
+        "temperature": 0.1,
+        "top_p": 0.95,
+        "repetition_penalty": 1.2,
+        "top_k": 50,
+        "truncate": 1000,
+        "max_new_tokens": 2048,
+        "stop": ["</s>"]
+      },
+      "endpoints": [
+        {
+         "url": "http://127.0.0.1:8080",
+         "type": "llamacpp"
+        }
+      ]
+  }
+]
+```
+Start chat-ui with `npm run dev` and you should be able to chat with Zephyr locally.
+#### Ollama
+We also support the Ollama inference server. Spin up a model with
+```cli
+ollama run mistral
+```
+Then specify the endpoints like so:
+```env
+MODELS=[
+  {
+      "name": "Ollama Mistral",
+      "chatPromptTemplate": "<s>{{#each messages}}{{#ifUser}}[INST] {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}} {{content}} [/INST]{{/ifUser}}{{#ifAssistant}}{{content}}</s> {{/ifAssistant}}{{/each}}",
+      "parameters": {
+        "temperature": 0.1,
+        "top_p": 0.95,
+        "repetition_penalty": 1.2,
+        "top_k": 50,
+        "truncate": 3072,
+        "max_new_tokens": 1024,
+        "stop": ["</s>"]
+      },
+      "endpoints": [
+        {
+         "type": "ollama",
+         "url" : "http://127.0.0.1:11434",
+         "ollamaName" : "mistral"
+        }
+      ]
+  }
+]
+```
+#### Amazon
+You can also specify your Amazon SageMaker instance as an endpoint for chat-ui. The config goes like this:
+```env
+"endpoints": [
+    {
+      "type" : "aws",
+      "service" : "sagemaker"
+      "url": "",
+      "accessKey": "",
+      "secretKey" : "",
+      "sessionToken": "",
+      "region": "",
+      "weight": 1
+    }
+]
+```
+You can also set `"service" : "lambda"` to use a lambda instance.
+You can get the `accessKey` and `secretKey` from your AWS user, under programmatic access.
+### Custom endpoint authorization
+#### Basic and Bearer
+Custom endpoints may require authorization, depending on how you configure them. Authentication will usually be set either with `Basic` or `Bearer`.
+For `Basic` we will need to generate a base64 encoding of the username and password.
+`echo -n "USER:PASS" | base64`
+> VVNFUjpQQVNT
+For `Bearer` you can use a token, which can be grabbed from [here](https://huggingface.co/settings/tokens).
+You can then add the generated information and the `authorization` parameter to your `.env.local`.
+```env
+"endpoints": [
+{
+"url": "https://HOST:PORT",
+"authorization": "Basic VVNFUjpQQVNT",
+}
+]
+```
+#### Models hosted on multiple custom endpoints
+If the model being hosted will be available on multiple servers/instances add the `weight` parameter to your `.env.local`. The `weight` will be used to determine the probability of requesting a particular endpoint.
+```env
+"endpoints": [
+{
+"url": "https://HOST:PORT",
+"weight": 1
+}
+{
+"url": "https://HOST:PORT",
+"weight": 2
+}
+...
+]
+```
+#### Client Certificate Authentication (mTLS)
+Custom endpoints may require client certificate authentication, depending on how you configure them. To enable mTLS between Chat UI and your custom endpoint, you will need to set the `USE_CLIENT_CERTIFICATE` to `true`, and add the `CERT_PATH` and `KEY_PATH` parameters to your `.env.local`. These parameters should point to the location of the certificate and key files on your local machine. The certificate and key files should be in PEM format. The key file can be encrypted with a passphrase, in which case you will also need to add the `CLIENT_KEY_PASSWORD` parameter to your `.env.local`.
+If you're using a certificate signed by a private CA, you will also need to add the `CA_PATH` parameter to your `.env.local`. This parameter should point to the location of the CA certificate file on your local machine.
+If you're using a self-signed certificate, e.g. for testing or development purposes, you can set the `REJECT_UNAUTHORIZED` parameter to `false` in your `.env.local`. This will disable certificate validation, and allow Chat UI to connect to your custom endpoint.
+## Deploying to a HF Space
+Create a `DOTENV_LOCAL` secret to your HF space with the content of your .env.local, and they will be picked up automatically when you run.
+## Building
+To create a production version of your app:
+```bash
+npm run build
+```
+You can preview the production build with `npm run preview`.
+> To deploy your app, you may need to install an [adapter](https://kit.svelte.dev/docs/adapters) for your target environment.

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2	- import{s as V,d as B,o as U,e as A,t as j}from"../chunks/scheduler.CtbWrGNo.js";import{S as W,i as z,s as F,o as h,f as G,g as k,n as p,p as L,m as g,d as w,e as H,c as J,a as K,l as q,q as d,t as Q,b as X,j as Y,r as S,u as E,v as y,w as D,x as R,y as P}from"../chunks/index.C4D7lu78.js";const Z="modulepreload",M=function(a,e){return new URL(a,e).href},I={},C=function(e,n,i){let s=Promise.resolve();if(n&&n.length>0){const u=document.getElementsByTagName("link"),t=document.querySelector("meta[property=csp-nonce]"),r=(t==null?void 0:t.nonce)\|\|(t==null?void 0:t.getAttribute("nonce"));s=Promise.all(n.map(o=>{if(o=M(o,i),o in I)return;I[o]=!0;const f=o.endsWith(".css"),l=f?'[rel="stylesheet"]':"";if(!!i)for(let b=u.length-1;b>=0;b--){const v=u[b];if(v.href===o&&(!f\|\|v.rel==="stylesheet"))return}else if(document.querySelector(`link[href="${o}"]${l}`))return;const 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s&&(e=E(s,u(a)),a[10](e)),{c(){e&&y(e.$$.fragment),n=h()},l(t){e&&D(e.$$.fragment,t),n=h()},m(t,r){e&&R(e,t,r),k(t,n,r),i=!0},p(t,r){if(r&2&&s!==(s=t[1][1])){if(e){S();const o=e;p(o.$$.fragment,1,0,()=>{P(o,1)}),L()}s?(e=E(s,u(t)),t[10](e),y(e.$$.fragment),g(e.$$.fragment,1),R(e,n.parentNode,n)):e=null}else if(s){const o={};r&16&&(o.data=t[4]),r&4&&(o.form=t[2]),e.$set(o)}},i(t){i\|\|(e&&g(e.$$.fragment,t),i=!0)},o(t){e&&p(e.$$.fragment,t),i=!1},d(t){t&&w(n),a[10](null),e&&P(e,t)}}}function N(a){let e,n=a[6]&&O(a);return{c(){e=H("div"),n&&n.c(),this.h()},l(i){e=J(i,"DIV",{id:!0,"aria-live":!0,"aria-atomic":!0,style:!0});var s=K(e);n&&n.l(s),s.forEach(w),this.h()},h(){q(e,"id","svelte-announcer"),q(e,"aria-live","assertive"),q(e,"aria-atomic","true"),d(e,"position","absolute"),d(e,"left","0"),d(e,"top","0"),d(e,"clip","rect(0 0 0 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ne(a,e,n){let{stores:i}=e,{page:s}=e,{constructors:u}=e,{components:t=[]}=e,{form:r}=e,{data_0:o=null}=e,{data_1:f=null}=e;B(i.page.notify);let l=!1,m=!1,_=null;U(()=>{const c=i.page.subscribe(()=>{l&&(n(6,m=!0),j().then(()=>{n(7,_=document.title\|\|"untitled page")}))});return n(5,l=!0),c});function b(c){A[c?"unshift":"push"](()=>{t[1]=c,n(0,t)})}function v(c){A[c?"unshift":"push"](()=>{t[0]=c,n(0,t)})}function T(c){A[c?"unshift":"push"](()=>{t[0]=c,n(0,t)})}return a.$$set=c=>{"stores"in c&&n(8,i=c.stores),"page"in c&&n(9,s=c.page),"constructors"in c&&n(1,u=c.constructors),"components"in c&&n(0,t=c.components),"form"in c&&n(2,r=c.form),"data_0"in c&&n(3,o=c.data_0),"data_1"in c&&n(4,f=c.data_1)},a.$$.update=()=>{a.$$.dirty&768&&i.page.set(s)},[t,u,r,o,f,l,m,_,i,s,b,v,T]}class oe extends W{constructor(e){super(),z(this,e,ne,te,V,{stores:8,page:9,constructors:1,components:0,form:2,data_0:3,data_1:4})}}const ae=[()=>C(()=>import("../nodes/0.dPy0WIMN.js"),__vite__mapDeps([0,1,2,3]),import.meta.url),()=>C(()=>import("../nodes/1.BADQ-P6Z.js"),__vite__mapDeps([4,1,2,5]),import.meta.url),()=>C(()=>import("../nodes/2.C-zSEB19.js"),__vite__mapDeps([6,1,2,7]),import.meta.url)],le=[],fe={"/":[2]},ce={handleError:({error:a})=>{console.error(a)},reroute:()=>{}};export{fe as dictionary,ce as hooks,re as matchers,ae as nodes,oe as root,le as server_loads};

_app/immutable/entry/start.BZni4wHA.js DELETED Viewed

	@@ -1 +0,0 @@
1	- import{a as t}from"../chunks/entry.CsquK5o6.js";export{t as start};

_app/immutable/nodes/0.dPy0WIMN.js DELETED Viewed

@@ -1 +0,0 @@

- import{s as l,a as r,u as i,g as u,b as _}from"../chunks/scheduler.CtbWrGNo.js";import{S as f,i as c,m as p,n as m}from"../chunks/index.C4D7lu78.js";const d=!0,S=Object.freeze(Object.defineProperty({__proto__:null,prerender:d},Symbol.toStringTag,{value:"Module"}));function $(n){let s;const a=n[1].default,t=r(a,n,n[0],null);return{c(){t&&t.c()},l(e){t&&t.l(e)},m(e,o){t&&t.m(e,o),s=!0},p(e,[o]){t&&t.p&&(!s||o&1)&&i(t,a,e,e[0],s?_(a,e[0],o,null):u(e[0]),null)},i(e){s||(p(t,e),s=!0)},o(e){m(t,e),s=!1},d(e){t&&t.d(e)}}}function g(n,s,a){let{$$slots:t={},$$scope:e}=s;return n.$$set=o=>{"$$scope"in o&&a(0,e=o.$$scope)},[e,t]}class v extends f{constructor(s){super(),c(this,s,g,$,l,{})}}export{v as component,S as universal};

_app/immutable/nodes/1.BADQ-P6Z.js DELETED Viewed

@@ -1 +0,0 @@

- import{s as S,n as _,c as x}from"../chunks/scheduler.CtbWrGNo.js";import{S as j,i as q,e as f,t as d,s as y,c as g,a as h,b as v,d as u,f as C,g as m,h as $,j as E}from"../chunks/index.C4D7lu78.js";import{s as H}from"../chunks/entry.CsquK5o6.js";const P=()=>{const s=H;return{page:{subscribe:s.page.subscribe},navigating:{subscribe:s.navigating.subscribe},updated:s.updated}},k={subscribe(s){return P().page.subscribe(s)}};function w(s){var b;let t,r=s[0].status+"",o,n,i,c=((b=s[0].error)==null?void 0:b.message)+"",l;return{c(){t=f("h1"),o=d(r),n=y(),i=f("p"),l=d(c)},l(e){t=g(e,"H1",{});var a=h(t);o=v(a,r),a.forEach(u),n=C(e),i=g(e,"P",{});var p=h(i);l=v(p,c),p.forEach(u)},m(e,a){m(e,t,a),$(t,o),m(e,n,a),m(e,i,a),$(i,l)},p(e,[a]){var p;a&1&&r!==(r=e[0].status+"")&&E(o,r),a&1&&c!==(c=((p=e[0].error)==null?void 0:p.message)+"")&&E(l,c)},i:_,o:_,d(e){e&&(u(t),u(n),u(i))}}}function z(s,t,r){let o;return x(s,k,n=>r(0,o=n)),[o]}let F=class extends j{constructor(t){super(),q(this,t,z,w,S,{})}};export{F as component};

_app/immutable/nodes/2.C-zSEB19.js DELETED Viewed

@@ -1,3 +0,0 @@
-import{s as l,n as a}from"../chunks/scheduler.CtbWrGNo.js";import{S as i,i as c,e as o,c as h,k as g,l as m,g as u,d as f}from"../chunks/index.C4D7lu78.js";function d(r){let e,s=`<article class="mx-4 max-w-4xl text-gray-300"><a href="https://huggingface.co/chat" target="_blank" rel="noreferrer" class="mx-auto mb-12 flex w-fit items-center justify-center gap-2 rounded-lg border border-gray-200 p-4 text-xl font-bold !text-white transition-all hover:-translate-y-0.5 hover:border-gray-300 hover:bg-gray-800">Try
-			<h3 class="svelte-1hc9mw2"><img src="/logo.svg" alt="HuggingChat" class="inline w-10"/>
-				HuggingChat</h3></a> <p class="svelte-1hc9mw2">HuggingChat is now available at <a class="link svelte-1hc9mw2" href="https://huggingface.co/chat" target="_blank" rel="noreferrer">hf.co/chat</a> and is no longer hosted as a space.</p> <p class="svelte-1hc9mw2">You can still interact with the community and give feedback in the <a class="link svelte-1hc9mw2" href="https://huggingface.co/spaces/huggingchat/chat-ui/discussions" target="_blank" rel="noreferrer">space&#39;s discussions</a>.</p></article>`;return{c(){e=o("div"),e.innerHTML=s,this.h()},l(t){e=h(t,"DIV",{class:!0,"data-svelte-h":!0}),g(e)!=="svelte-hljhww"&&(e.innerHTML=s),this.h()},h(){m(e,"class","mx-auto w-fit pt-10")},m(t,n){u(t,e,n)},p:a,i:a,o:a,d(t){t&&f(e)}}}class w extends i{constructor(e){super(),c(this,e,null,d,l,{})}}export{w as component};

_app/version.json DELETED Viewed

	@@ -1 +0,0 @@
1	- {"version":"1722243467595"}

assistants-thumbnail.png DELETED Viewed

Binary file (211 kB)

conf/.env.ci ADDED Viewed

	@@ -0,0 +1 @@


1	+ MONGODB_URL=mongodb://localhost:27017/

index.html DELETED Viewed

@@ -1,48 +0,0 @@
-<!DOCTYPE html>
-<html lang="en" class="bg-gray-900">
-	<head>
-		<meta charset="utf-8" />
-		<link rel="icon" href="./favicon.svg" />
-		<meta name="viewport" content="width=device-width" />
-		<link href="./_app/immutable/assets/0.DViICDYp.css" rel="stylesheet">
-		<link href="./_app/immutable/assets/2.Dl1cvM0g.css" rel="stylesheet">
-		<link rel="modulepreload" href="./_app/immutable/entry/start.BZni4wHA.js">
-		<link rel="modulepreload" href="./_app/immutable/chunks/entry.CsquK5o6.js">
-		<link rel="modulepreload" href="./_app/immutable/chunks/scheduler.CtbWrGNo.js">
-		<link rel="modulepreload" href="./_app/immutable/entry/app.Bje1ZUR5.js">
-		<link rel="modulepreload" href="./_app/immutable/chunks/index.C4D7lu78.js">
-		<link rel="modulepreload" href="./_app/immutable/nodes/0.dPy0WIMN.js">
-		<link rel="modulepreload" href="./_app/immutable/nodes/2.C-zSEB19.js">
-	</head>
-	<body data-sveltekit-preload-data="hover">
-		<div style="display: contents">  <div class="mx-auto w-fit pt-10" data-svelte-h="svelte-hljhww"><article class="mx-4 max-w-4xl text-gray-300"><a href="https://huggingface.co/chat" target="_blank" rel="noreferrer" class="mx-auto mb-12 flex w-fit items-center justify-center gap-2 rounded-lg border border-gray-200 p-4 text-xl font-bold !text-white transition-all hover:-translate-y-0.5 hover:border-gray-300 hover:bg-gray-800">Try
-			<h3 class="svelte-1hc9mw2"><img src="/logo.svg" alt="HuggingChat" class="inline w-10">
-				HuggingChat</h3></a> <p class="svelte-1hc9mw2">HuggingChat is now available at <a class="link svelte-1hc9mw2" href="https://huggingface.co/chat" target="_blank" rel="noreferrer">hf.co/chat</a> and is no longer hosted as a space.</p> <p class="svelte-1hc9mw2">You can still interact with the community and give feedback in the <a class="link svelte-1hc9mw2" href="https://huggingface.co/spaces/huggingchat/chat-ui/discussions" target="_blank" rel="noreferrer">space&#39;s discussions</a>.</p></article> </div>
-			<script>
-				{
-					__sveltekit_1klgtbu = {
-						base: new URL(".", location).pathname.slice(0, -1)
-					};
-					const element = document.currentScript.parentElement;
-					const data = [null,null];
-					Promise.all([
-						import("./_app/immutable/entry/start.BZni4wHA.js"),
-						import("./_app/immutable/entry/app.Bje1ZUR5.js")
-					]).then(([kit, app]) => {
-						kit.start(app, element, {
-							node_ids: [0, 2],
-							data,
-							form: null,
-							error: null
-						});
-					});
-				}
-			</script>
-		</div>
-	</body>
-</html>

package-lock.json ADDED Viewed

The diff for this file is too large to render. See raw diff

package.json ADDED Viewed

	@@ -0,0 +1,73 @@

+{
+	"name": "chat-ui",
+	"version": "0.6.0",
+	"private": true,
+	"packageManager": "[email protected]",
+	"scripts": {
+		"dev": "vite dev",
+		"build": "vite build",
+		"preview": "vite preview",
+		"check": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json",
+		"check:watch": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json --watch",
+		"lint": "prettier --plugin-search-dir . --check . && eslint .",
+		"format": "prettier --plugin-search-dir . --write .",
+		"test": "MONGODB_URL=mongodb://127.0.0.1:27017/ vitest",
+		"updateLocalEnv": "node --loader ts-node/esm scripts/updateLocalEnv.ts",
+		"updateProdEnv": "node --loader ts-node/esm scripts/updateProdEnv.ts"
+	},
+	"devDependencies": {
+		"@iconify-json/carbon": "^1.1.16",
+		"@iconify-json/eos-icons": "^1.1.6",
+		"@sveltejs/adapter-node": "^1.2.4",
+		"@sveltejs/kit": "^1.26.0",
+		"@tailwindcss/typography": "^0.5.9",
+		"@types/jsdom": "^21.1.1",
+		"@types/marked": "^4.0.8",
+		"@types/parquetjs": "^0.10.3",
+		"@typescript-eslint/eslint-plugin": "^6.x",
+		"@typescript-eslint/parser": "^6.x",
+		"eslint": "^8.28.0",
+		"eslint-config-prettier": "^8.5.0",
+		"eslint-plugin-svelte": "^2.30.0",
+		"marked-katex-extension": "^3.0.6",
+		"prettier": "^2.8.0",
+		"prettier-plugin-svelte": "^2.10.1",
+		"prettier-plugin-tailwindcss": "^0.2.7",
+		"svelte": "^4.0.0",
+		"svelte-check": "^3.4.3",
+		"ts-node": "^10.9.1",
+		"tslib": "^2.4.1",
+		"typescript": "^5.0.0",
+		"unplugin-icons": "^0.16.1",
+		"vite": "^4.3.9",
+		"vitest": "^0.31.0"
+	},
+	"type": "module",
+	"dependencies": {
+		"@huggingface/hub": "^0.5.1",
+		"@huggingface/inference": "^2.6.3",
+		"@xenova/transformers": "^2.6.0",
+		"autoprefixer": "^10.4.14",
+		"browser-image-resizer": "^2.4.1",
+		"date-fns": "^2.29.3",
+		"dotenv": "^16.0.3",
+		"handlebars": "^4.7.8",
+		"highlight.js": "^11.7.0",
+		"image-size": "^1.0.2",
+		"jsdom": "^22.0.0",
+		"marked": "^4.3.0",
+		"mongodb": "^5.8.0",
+		"nanoid": "^4.0.2",
+		"openid-client": "^5.4.2",
+		"parquetjs": "^0.11.2",
+		"postcss": "^8.4.31",
+		"serpapi": "^1.1.1",
+		"tailwind-scrollbar": "^3.0.0",
+		"tailwindcss": "^3.3.1",
+		"zod": "^3.22.3"
+	},
+	"optionalDependencies": {
+		"aws4fetch": "^1.0.17",
+		"openai": "^4.14.2"
+	}
+}

postcss.config.js ADDED Viewed

	@@ -0,0 +1,6 @@

+export default {
+	plugins: {
+		tailwindcss: {},
+		autoprefixer: {},
+	},
+};

scripts/updateLocalEnv.ts ADDED Viewed

	@@ -0,0 +1,20 @@

+import fs from "fs";
+const SECRET_CONFIG = fs.existsSync(".env.SECRET_CONFIG")
+	? fs.readFileSync(".env.SECRET_CONFIG", "utf8")
+	: process.env.SECRET_CONFIG;
+if (!SECRET_CONFIG) {
+	throw new Error(
+		"SECRET_CONFIG is not defined. Please provide it either in a file or as an environment variable."
+	);
+}
+// Read the content of the file .env.template
+const PUBLIC_CONFIG = fs.readFileSync(".env.template", "utf8");
+// Prepend the content of the env variable SECRET_CONFIG
+const full_config = `${PUBLIC_CONFIG}\n${SECRET_CONFIG}`;
+// Write full_config to .env.local
+fs.writeFileSync(".env.local", full_config);

scripts/updateProdEnv.ts ADDED Viewed

	@@ -0,0 +1,33 @@

+import fs from "fs";
+const HF_TOKEN = process.env.HF_TOKEN; // token used for pushing to hub
+const SERPER_API_KEY = process.env.SERPER_API_KEY;
+const OPENID_CONFIG = process.env.OPENID_CONFIG;
+const MONGODB_URL = process.env.MONGODB_URL;
+const HF_ACCESS_TOKEN = process.env.HF_ACCESS_TOKEN; // token used for API requests in prod
+// Read the content of the file .env.template
+const PUBLIC_CONFIG = fs.readFileSync(".env.template", "utf8");
+// Prepend the content of the env variable SECRET_CONFIG
+const full_config = `${PUBLIC_CONFIG}
+MONGODB_URL=${MONGODB_URL}
+OPENID_CONFIG=${OPENID_CONFIG}
+SERPER_API_KEY=${SERPER_API_KEY}
+HF_ACCESS_TOKEN=${HF_ACCESS_TOKEN}
+`;
+// Make an HTTP POST request to add the space secrets
+fetch(`https://huggingface.co/api/spaces/huggingchat/chat-ui/secrets`, {
+	method: "POST",
+	body: JSON.stringify({
+		key: "DOTENV_LOCAL",
+		value: full_config,
+		description: `Env variable for HuggingChat. Last updated ${new Date().toISOString()}`,
+	}),
+	headers: {
+		Authorization: `Bearer ${HF_TOKEN}`,
+		"Content-Type": "application/json",
+	},
+});

src/app.d.ts ADDED Viewed

	@@ -0,0 +1,20 @@

+/// <reference types="@sveltejs/kit" />
+/// <reference types="unplugin-icons/types/svelte" />
+import type { User } from "$lib/types/User";
+// See https://kit.svelte.dev/docs/types#app
+// for information about these interfaces
+declare global {
+	namespace App {
+		// interface Error {}
+		interface Locals {
+			sessionId: string;
+			user?: User;
+		}
+		// interface PageData {}
+		// interface Platform {}
+	}
+}
+export {};

src/app.html ADDED Viewed

	@@ -0,0 +1,47 @@

+<!DOCTYPE html>
+<html lang="en" class="h-full">
+	<head>
+		<meta charset="utf-8" />
+		<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
+		<meta name="theme-color" content="rgb(249, 250, 251)" />
+		<script>
+			if (
+				localStorage.theme === "dark" ||
+				(!("theme" in localStorage) && window.matchMedia("(prefers-color-scheme: dark)").matches)
+			) {
+				document.documentElement.classList.add("dark");
+				document
+					.querySelector('meta[name="theme-color"]')
+					.setAttribute("content", "rgb(26, 36, 50)");
+			}
+			// For some reason, Sveltekit doesn't let us load env variables from .env here, so we load it from hooks.server.ts
+			window.gaId = "%gaId%";
+		</script>
+		%sveltekit.head%
+	</head>
+	<body data-sveltekit-preload-data="hover" class="h-full dark:bg-gray-900">
+		<div id="app" class="contents h-full">%sveltekit.body%</div>
+		<!-- Google Tag Manager -->
+		<script>
+			if (window.gaId) {
+				const script = document.createElement("script");
+				script.src = "https://www.googletagmanager.com/gtag/js?id=" + window.gaId;
+				script.async = true;
+				document.head.appendChild(script);
+				window.dataLayer = window.dataLayer || [];
+				function gtag() {
+					dataLayer.push(arguments);
+				}
+				gtag("js", new Date());
+				/// ^ See https://developers.google.com/tag-platform/gtagjs/install
+				gtag("config", window.gaId);
+				gtag("consent", "default", { ad_storage: "denied", analytics_storage: "denied" });
+				/// ^ See https://developers.google.com/tag-platform/gtagjs/reference#consent
+				/// TODO: ask the user for their consent and update this with gtag('consent', 'update')
+			}
+		</script>
+	</body>
+</html>

src/hooks.server.ts ADDED Viewed

	@@ -0,0 +1,110 @@

+import { COOKIE_NAME, MESSAGES_BEFORE_LOGIN } from "$env/static/private";
+import type { Handle } from "@sveltejs/kit";
+import {
+	PUBLIC_GOOGLE_ANALYTICS_ID,
+	PUBLIC_ORIGIN,
+	PUBLIC_APP_DISCLAIMER,
+} from "$env/static/public";
+import { collections } from "$lib/server/database";
+import { base } from "$app/paths";
+import { refreshSessionCookie, requiresUser } from "$lib/server/auth";
+import { ERROR_MESSAGES } from "$lib/stores/errors";
+export const handle: Handle = async ({ event, resolve }) => {
+	const token = event.cookies.get(COOKIE_NAME);
+	event.locals.sessionId = token || crypto.randomUUID();
+	const user = await collections.users.findOne({ sessionId: event.locals.sessionId });
+	if (user) {
+		event.locals.user = user;
+	}
+	function errorResponse(status: number, message: string) {
+		const sendJson =
+			event.request.headers.get("accept")?.includes("application/json") ||
+			event.request.headers.get("content-type")?.includes("application/json");
+		return new Response(sendJson ? JSON.stringify({ error: message }) : message, {
+			status,
+			headers: {
+				"content-type": sendJson ? "application/json" : "text/plain",
+			},
+		});
+	}
+	// CSRF protection
+	const requestContentType = event.request.headers.get("content-type")?.split(";")[0] ?? "";
+	/** https://developer.mozilla.org/en-US/docs/Web/HTML/Element/form#attr-enctype */
+	const nativeFormContentTypes = [
+		"multipart/form-data",
+		"application/x-www-form-urlencoded",
+		"text/plain",
+	];
+	if (event.request.method === "POST" && nativeFormContentTypes.includes(requestContentType)) {
+		const referer = event.request.headers.get("referer");
+		if (!referer) {
+			return errorResponse(403, "Non-JSON form requests need to have a referer");
+		}
+		const validOrigins = [
+			new URL(event.request.url).origin,
+			...(PUBLIC_ORIGIN ? [new URL(PUBLIC_ORIGIN).origin] : []),
+		];
+		if (!validOrigins.includes(new URL(referer).origin)) {
+			return errorResponse(403, "Invalid referer for POST request");
+		}
+	}
+	if (
+		!event.url.pathname.startsWith(`${base}/login`) &&
+		!event.url.pathname.startsWith(`${base}/admin`) &&
+		!["GET", "OPTIONS", "HEAD"].includes(event.request.method)
+	) {
+		if (
+			!user &&
+			requiresUser &&
+			!((MESSAGES_BEFORE_LOGIN ? parseInt(MESSAGES_BEFORE_LOGIN) : 0) > 0)
+		) {
+			return errorResponse(401, ERROR_MESSAGES.authOnly);
+		}
+		// if login is not required and the call is not from /settings and we display the ethics modal with PUBLIC_APP_DISCLAIMER
+		//  we check if the user has accepted the ethics modal first.
+		// If login is required, `ethicsModalAcceptedAt` is already true at this point, so do not pass this condition. This saves a DB call.
+		if (
+			!requiresUser &&
+			!event.url.pathname.startsWith(`${base}/settings`) &&
+			!!PUBLIC_APP_DISCLAIMER
+		) {
+			const hasAcceptedEthicsModal = await collections.settings.countDocuments({
+				sessionId: event.locals.sessionId,
+				ethicsModalAcceptedAt: { $exists: true },
+			});
+			if (!hasAcceptedEthicsModal) {
+				return errorResponse(405, "You need to accept the welcome modal first");
+			}
+		}
+	}
+	refreshSessionCookie(event.cookies, event.locals.sessionId);
+	let replaced = false;
+	const response = await resolve(event, {
+		transformPageChunk: (chunk) => {
+			// For some reason, Sveltekit doesn't let us load env variables from .env in the app.html template
+			if (replaced || !chunk.html.includes("%gaId%")) {
+				return chunk.html;
+			}
+			replaced = true;
+			return chunk.html.replace("%gaId%", PUBLIC_GOOGLE_ANALYTICS_ID);
+		},
+	});
+	return response;
+};

src/lib/actions/snapScrollToBottom.ts ADDED Viewed

	@@ -0,0 +1,54 @@

+import { navigating } from "$app/stores";
+import { tick } from "svelte";
+import { get } from "svelte/store";
+const detachedOffset = 10;
+/**
+ * @param node element to snap scroll to bottom
+ * @param dependency pass in a dependency to update scroll on changes.
+ */
+export const snapScrollToBottom = (node: HTMLElement, dependency: unknown) => {
+	let prevScrollValue = node.scrollTop;
+	let isDetached = false;
+	const handleScroll = () => {
+		// if user scrolled up, we detach
+		if (node.scrollTop < prevScrollValue) {
+			isDetached = true;
+		}
+		// if user scrolled back to within 10px of bottom, we reattach
+		if (node.scrollTop - (node.scrollHeight - node.clientHeight) >= -detachedOffset) {
+			isDetached = false;
+		}
+		prevScrollValue = node.scrollTop;
+	};
+	const updateScroll = async (_options: { force?: boolean } = {}) => {
+		const defaultOptions = { force: false };
+		const options = { ...defaultOptions, ..._options };
+		const { force } = options;
+		if (!force && isDetached && !get(navigating)) return;
+		// wait for next tick to ensure that the DOM is updated
+		await tick();
+		node.scrollTo({ top: node.scrollHeight });
+	};
+	node.addEventListener("scroll", handleScroll);
+	if (dependency) {
+		updateScroll({ force: true });
+	}
+	return {
+		update: updateScroll,
+		destroy: () => {
+			node.removeEventListener("scroll", handleScroll);
+		},
+	};
+};

src/lib/buildPrompt.ts ADDED Viewed

	@@ -0,0 +1,92 @@

+import type { BackendModel } from "./server/models";
+import type { Message } from "./types/Message";
+import { format } from "date-fns";
+import type { WebSearch } from "./types/WebSearch";
+import { downloadFile } from "./server/files/downloadFile";
+import type { Conversation } from "./types/Conversation";
+interface buildPromptOptions {
+	messages: Pick<Message, "from" | "content" | "files">[];
+	id?: Conversation["_id"];
+	model: BackendModel;
+	locals?: App.Locals;
+	webSearch?: WebSearch;
+	preprompt?: string;
+	files?: File[];
+}
+export async function buildPrompt({
+	messages,
+	model,
+	webSearch,
+	preprompt,
+	id,
+}: buildPromptOptions): Promise<string> {
+	if (webSearch && webSearch.context) {
+		const lastMsg = messages.slice(-1)[0];
+		const messagesWithoutLastUsrMsg = messages.slice(0, -1);
+		const previousUserMessages = messages.filter((el) => el.from === "user").slice(0, -1);
+		const previousQuestions =
+			previousUserMessages.length > 0
+				? `Previous questions: \n${previousUserMessages
+						.map(({ content }) => `- ${content}`)
+						.join("\n")}`
+				: "";
+		const currentDate = format(new Date(), "MMMM d, yyyy");
+		messages = [
+			...messagesWithoutLastUsrMsg,
+			{
+				from: "user",
+				content: `I searched the web using the query: ${webSearch.searchQuery}. Today is ${currentDate} and here are the results:
+				=====================
+				${webSearch.context}
+				=====================
+				${previousQuestions}
+				Answer the question: ${lastMsg.content}
+				`,
+			},
+		];
+	}
+	// section to handle potential files input
+	if (model.multimodal) {
+		messages = await Promise.all(
+			messages.map(async (el) => {
+				let content = el.content;
+				if (el.from === "user") {
+					if (el?.files && el.files.length > 0 && id) {
+						const markdowns = await Promise.all(
+							el.files.map(async (hash) => {
+								try {
+									const { content: image, mime } = await downloadFile(hash, id);
+									const b64 = image.toString("base64");
+									return `![](data:${mime};base64,${b64})})`;
+								} catch (e) {
+									console.error(e);
+								}
+							})
+						);
+						content += markdowns.join("\n ");
+					} else {
+						// if no image, append an empty white image
+						content +=
+							"\n![](data:image/png;base64,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)";
+					}
+				}
+				return { ...el, content };
+			})
+		);
+	}
+	return (
+		model
+			.chatPromptRender({ messages, preprompt })
+			// Not super precise, but it's truncated in the model's backend anyway
+			.split(" ")
+			.slice(-(model.parameters?.truncate ?? 0))
+			.join(" ")
+	);
+}

src/lib/components/AnnouncementBanner.svelte ADDED Viewed

	@@ -0,0 +1,15 @@

+<script lang="ts">
+	export let title = "";
+	export let classNames = "";
+</script>
+<div class="flex items-center rounded-xl bg-gray-100 p-1 text-sm dark:bg-gray-800 {classNames}">
+	<span
+		class="mr-2 inline-flex items-center rounded-lg bg-gradient-to-br from-primary-300 px-2 py-1 text-xxs font-medium uppercase leading-3 text-primary-700 dark:from-primary-900 dark:text-primary-400"
+		>New</span
+	>
+	{title}
+	<div class="ml-auto shrink-0">
+		<slot />
+	</div>
+</div>

src/lib/components/CodeBlock.svelte ADDED Viewed

	@@ -0,0 +1,28 @@

+<script lang="ts">
+	import { afterUpdate } from "svelte";
+	import CopyToClipBoardBtn from "./CopyToClipBoardBtn.svelte";
+	export let code = "";
+	export let lang = "";
+	$: highlightedCode = "";
+	afterUpdate(async () => {
+		const { default: hljs } = await import("highlight.js");
+		const language = hljs.getLanguage(lang);
+		highlightedCode = hljs.highlightAuto(code, language?.aliases).value;
+	});
+</script>
+<div class="group relative my-4 rounded-lg">
+	<!-- eslint-disable svelte/no-at-html-tags -->
+	<pre
+		class="scrollbar-custom overflow-auto px-5 scrollbar-thumb-gray-500 hover:scrollbar-thumb-gray-400 dark:scrollbar-thumb-white/10 dark:hover:scrollbar-thumb-white/20"><code
+			class="language-{lang}">{@html highlightedCode || code.replaceAll("<", "&lt;")}</code
+		></pre>
+	<CopyToClipBoardBtn
+		classNames="absolute top-2 right-2 invisible opacity-0 group-hover:visible group-hover:opacity-100"
+		value={code}
+	/>
+</div>

src/lib/components/CopyToClipBoardBtn.svelte ADDED Viewed

	@@ -0,0 +1,51 @@

+<script lang="ts">
+	import { onDestroy } from "svelte";
+	import IconCopy from "./icons/IconCopy.svelte";
+	import Tooltip from "./Tooltip.svelte";
+	export let classNames = "";
+	export let value: string;
+	let isSuccess = false;
+	let timeout: ReturnType<typeof setTimeout>;
+	const handleClick = async () => {
+		// writeText() can be unavailable or fail in some cases (iframe, etc) so we try/catch
+		try {
+			await navigator.clipboard.writeText(value);
+			isSuccess = true;
+			if (timeout) {
+				clearTimeout(timeout);
+			}
+			timeout = setTimeout(() => {
+				isSuccess = false;
+			}, 1000);
+		} catch (err) {
+			console.error(err);
+		}
+	};
+	onDestroy(() => {
+		if (timeout) {
+			clearTimeout(timeout);
+		}
+	});
+</script>
+<button
+	class="btn rounded-lg border border-gray-200 px-2 py-2 text-sm shadow-sm transition-all hover:border-gray-300 active:shadow-inner dark:border-gray-600 dark:hover:border-gray-400 {classNames}
+		{!isSuccess && 'text-gray-200 dark:text-gray-200'}
+		{isSuccess && 'text-green-500'}
+	"
+	title={"Copy to clipboard"}
+	type="button"
+	on:click
+	on:click={handleClick}
+>
+	<span class="relative">
+		<IconCopy />
+		<Tooltip classNames={isSuccess ? "opacity-100" : "opacity-0"} />
+	</span>
+</button>

src/lib/components/DisclaimerModal.svelte ADDED Viewed

	@@ -0,0 +1,73 @@

+<script lang="ts">
+	import { base } from "$app/paths";
+	import { page } from "$app/stores";
+	import { PUBLIC_APP_DESCRIPTION, PUBLIC_APP_NAME } from "$env/static/public";
+	import LogoHuggingFaceBorderless from "$lib/components/icons/LogoHuggingFaceBorderless.svelte";
+	import Modal from "$lib/components/Modal.svelte";
+	import type { LayoutData } from "../../routes/$types";
+	import Logo from "./icons/Logo.svelte";
+	export let settings: LayoutData["settings"];
+</script>
+<Modal>
+	<div
+		class="flex w-full flex-col items-center gap-6 bg-gradient-to-b from-primary-500/40 via-primary-500/10 to-primary-500/0 px-5 pb-8 pt-9 text-center sm:px-6"
+	>
+		<h2 class="flex items-center text-2xl font-semibold text-gray-800">
+			<Logo classNames="mr-1" />
+			{PUBLIC_APP_NAME}
+		</h2>
+		<p class="text-lg font-semibold leading-snug text-gray-800" style="text-wrap: balance;">
+			{PUBLIC_APP_DESCRIPTION}
+		</p>
+		<p class="text-sm text-gray-500">
+			Disclaimer: AI is an area of active research with known problems such as biased generation and
+			misinformation. Do not use this application for high-stakes decisions or advice.
+		</p>
+		<div class="flex w-full flex-col items-center gap-2">
+			{#if $page.data.guestMode || !$page.data.loginEnabled}
+				<form action="{base}/settings" method="POST" class="w-full">
+					<input type="hidden" name="ethicsModalAccepted" value={true} />
+					{#each Object.entries(settings).filter(([k]) => !(k === "customPrompts")) as [key, val]}
+						<input type="hidden" name={key} value={val} />
+					{/each}
+					<input
+						type="hidden"
+						name="customPrompts"
+						value={JSON.stringify(settings.customPrompts)}
+					/>
+					<button
+						type="submit"
+						class="w-full justify-center rounded-full border-2 border-gray-300 bg-black px-5 py-2 text-lg font-semibold text-gray-100 transition-colors hover:bg-gray-900"
+						class:bg-white={$page.data.loginEnabled}
+						class:text-gray-800={$page.data.loginEnabled}
+						class:hover:bg-slate-100={$page.data.loginEnabled}
+					>
+						{#if $page.data.loginEnabled}
+							Try as guest
+						{:else}
+							Start chatting
+						{/if}
+					</button>
+				</form>
+			{/if}
+			{#if $page.data.loginEnabled}
+				<form action="{base}/login" target="_parent" method="POST" class="w-full">
+					<button
+						type="submit"
+						class="flex w-full items-center justify-center whitespace-nowrap rounded-full border-2 border-black bg-black px-5 py-2 text-lg font-semibold text-gray-100 transition-colors hover:bg-gray-900"
+					>
+						Sign in
+						{#if PUBLIC_APP_NAME === "HuggingChat"}
+							with <LogoHuggingFaceBorderless classNames="text-xl mr-1 ml-1.5 flex-none" /> Hugging Face
+						{/if}
+					</button>
+				</form>
+			{/if}
+		</div>
+	</div>
+</Modal>

src/lib/components/LoginModal.svelte ADDED Viewed

	@@ -0,0 +1,58 @@

+<script lang="ts">
+	import { base } from "$app/paths";
+	import { page } from "$app/stores";
+	import { PUBLIC_APP_DESCRIPTION, PUBLIC_APP_NAME } from "$env/static/public";
+	import LogoHuggingFaceBorderless from "$lib/components/icons/LogoHuggingFaceBorderless.svelte";
+	import Modal from "$lib/components/Modal.svelte";
+	import type { LayoutData } from "../../routes/$types";
+	import Logo from "./icons/Logo.svelte";
+	export let settings: LayoutData["settings"];
+</script>
+<Modal on:close>
+	<div
+		class="flex w-full flex-col items-center gap-6 bg-gradient-to-b from-primary-500/40 via-primary-500/10 to-primary-500/0 px-5 pb-8 pt-9 text-center"
+	>
+		<h2 class="flex items-center text-2xl font-semibold text-gray-800">
+			<Logo classNames="mr-1" />
+			{PUBLIC_APP_NAME}
+		</h2>
+		<p class="text-lg font-semibold leading-snug text-gray-800" style="text-wrap: balance;">
+			{PUBLIC_APP_DESCRIPTION}
+		</p>
+		<p class="rounded-xl border bg-white/80 p-2 text-base text-gray-800">
+			You have reached the guest message limit, please Sign In with your Hugging Face account to
+			continue.
+		</p>
+		<form
+			action="{base}/{$page.data.loginRequired ? 'login' : 'settings'}"
+			target="_parent"
+			method="POST"
+			class="flex w-full flex-col items-center gap-2"
+		>
+			{#if $page.data.loginRequired}
+				<button
+					type="submit"
+					class="flex w-full items-center justify-center whitespace-nowrap rounded-full bg-black px-5 py-2 text-center text-lg font-semibold text-gray-100 transition-colors hover:bg-gray-900"
+				>
+					Sign in
+					{#if PUBLIC_APP_NAME === "HuggingChat"}
+						with <LogoHuggingFaceBorderless classNames="text-xl mr-1 ml-1.5" /> Hugging Face
+					{/if}
+				</button>
+			{:else}
+				<input type="hidden" name="ethicsModalAccepted" value={true} />
+				{#each Object.entries(settings) as [key, val]}
+					<input type="hidden" name={key} value={val} />
+				{/each}
+				<button
+					type="submit"
+					class="flex w-full items-center justify-center whitespace-nowrap rounded-full border-2 border-black bg-black px-5 py-2 text-lg font-semibold text-gray-100 transition-colors hover:bg-gray-900"
+				>
+					Start chatting
+				</button>
+			{/if}
+		</form>
+	</div>
+</Modal>