Add real time api calling

docker-compose.yml

@@ -21,8 +21,8 @@ services:
       - MINIO_ROOT_USER=impress
       - MINIO_ROOT_PASSWORD=password
     ports:
-      - '9000:9000'
+      - "9000:9000"
-      - '9001:9001'
+      - "9001:9001"
     entrypoint: ""
     command: minio server --console-address :9001 /data
     volumes:
@@ -59,11 +59,11 @@ services:
       - ./src/backend:/app
       - ./data/static:/data/static
     depends_on:
-        - postgresql
+      - postgresql
-        - mailcatcher
+      - mailcatcher
-        - redis
+      - redis
-        - createbuckets
+      - createbuckets
-  
+
   celery-dev:
     user: ${DOCKER_USER:-1000}
     image: impress:backend-development
@@ -122,7 +122,7 @@ services:
 
   frontend-dev:
     user: "${DOCKER_USER:-1000}"
-    build: 
+    build:
       context: .
       dockerfile: ./src/frontend/Dockerfile
       target: frontend-production
@@ -151,13 +151,13 @@ services:
     image: node:18
     user: "${DOCKER_USER:-1000}"
     environment:
-      HOME: /tmp 
+      HOME: /tmp
     volumes:
       - ".:/app"
 
   y-provider:
     user: ${DOCKER_USER:-1000}
-    build: 
+    build:
       context: .
       dockerfile: ./src/frontend/servers/y-provider/Dockerfile
       target: y-provider
@@ -169,6 +169,7 @@ services:
 
   kc_postgresql:
     image: postgres:14.3
+    platform: linux/amd64
     ports:
       - "5433:5432"
     env_file:
@@ -196,7 +197,7 @@ services:
       KC_DB_PASSWORD: pass
       KC_DB_USERNAME: impress
       KC_DB_SCHEMA: public
-      PROXY_ADDRESS_FORWARDING: 'true'
+      PROXY_ADDRESS_FORWARDING: "true"
     ports:
       - "8080:8080"
     depends_on:

env.d/development/common.dist

@@ -10,6 +10,10 @@ LOGGING_LEVEL_HANDLERS_CONSOLE=INFO
 LOGGING_LEVEL_LOGGERS_ROOT=INFO
 LOGGING_LEVEL_LOGGERS_APP=INFO
 
+# Y-Provider
+Y_PROVIDER_API_KEY="yprovider-api-key" 
+Y_PROVIDER_API_BASE_URL=http://y-provider:4444/api/
+
 # Python
 PYTHONPATH=/app
 
@@ -54,6 +58,9 @@ AI_BASE_URL=https://openaiendpoint.com
 AI_API_KEY=password
 AI_MODEL=llama
 
+# Accessibility API
+ACCESSIBILITY_API_BASE_URL=https://localhost:8000
+
 # Collaboration
 COLLABORATION_API_URL=http://nginx:8083/collaboration/api/
 COLLABORATION_SERVER_ORIGIN=http://localhost:3000

src/backend/core/api/serializers.py

@@ -16,6 +16,7 @@ from core.services.converter_services import (
     ConversionError,
     YdocConverter,
 )
+from core.services.ai_services import AIService
 
 
 class UserSerializer(serializers.ModelSerializer):
@@ -306,7 +307,7 @@ class ServerCreateDocumentSerializer(serializers.Serializer):
         if user:
             email = user.email
             language = user.language or language
-
+        
         try:
             document_content = YdocConverter().convert_markdown(
                 validated_data["content"]
@@ -568,6 +569,56 @@ class AITranslateSerializer(serializers.Serializer):
         if len(value.strip()) == 0:
             raise serializers.ValidationError("Text field cannot be empty.")
         return value
+    
+
+class AIPdfTranscribeSerializer(serializers.Serializer):
+    """Serializer for AI PDF transcribe requests."""
+
+    pdfUrl = serializers.CharField(required=True)
+
+    def __init__(self, *args, **kwargs):
+        """Initialize with user."""
+        self.user = kwargs.pop('user', None)
+        super().__init__(*args, **kwargs)
+
+    def validate_pdfUrl(self, value):
+        """Ensure the pdfUrl field is a valid URL."""
+        if not value.startswith(settings.MEDIA_BASE_URL):
+            raise serializers.ValidationError("Invalid PDF URL format.")
+        return value
+
+    def create(self, validated_data):
+        """Create a new document for the transcribed content."""
+        if not self.user:
+            raise serializers.ValidationError("User is required")
+        
+        # Get the transcribed content from AI service
+        pdf_url = validated_data["pdfUrl"]
+        response = AIService().transcribe_pdf(pdf_url)
+        
+        try:
+            # Convert the markdown content to YDoc format
+            document_content = YdocConverter().convert_markdown(response)
+        except ConversionError as err:
+            raise serializers.ValidationError(
+                {"content": [f"Could not convert transcribed content: {str(err)}"]}
+            ) from err
+
+        # Create the document as root node with converted content
+        document = models.Document.add_root(
+            title="PDF Transcription", 
+            content=document_content,
+            creator=self.user,
+        )
+
+        # Create owner access for the user
+        models.DocumentAccess.objects.create(
+            document=document,
+            role=models.RoleChoices.OWNER,
+            user=self.user,
+        )
+
+        return document
 
 
 class MoveDocumentSerializer(serializers.Serializer):

src/backend/core/api/viewsets.py

@@ -1079,6 +1079,41 @@ class DocumentViewSet(
 
         return drf.response.Response(response, status=drf.status.HTTP_200_OK)
 
+    @drf.decorators.action(
+        detail=True,
+        methods=["post"],
+        name="Just proxy ai call",
+        url_path="ai-proxy"
+    )
+    def ai_proxy(self, request, *args, **kwargs):
+        """
+        POST /api/v1.0/documents/<resource_id>/ai-transform
+        with expected data:
+        - text: str
+        - action: str [prompt, correct, rephrase, summarize]
+        Return JSON response with the processed text.
+        """
+        print('PROXY 1')
+        # Check permissions first
+        # self.get_object()
+
+        print('PROXY 2')
+        print(request.data)
+        # serializer = serializers.AITransformSerializer(data=request.data)
+        # serializer.is_valid(raise_exception=True)
+
+        print('PROXY 3')
+        system_content = request.data["system"]
+        text = request.data["text"]
+
+        print('PROXY 4')
+        response = AIService().call_proxy(system_content, text)
+
+        print('PROXY 5')
+        print(response)
+
+        return drf.response.Response(response, status=drf.status.HTTP_200_OK)
+
     @drf.decorators.action(
         detail=True,
         methods=["post"],
@@ -1107,6 +1142,32 @@ class DocumentViewSet(
 
         return drf.response.Response(response, status=drf.status.HTTP_200_OK)
 
+    @drf.decorators.action(
+        detail=True,
+        methods=["post"],
+        name="Transcribe PDF with AI",
+        url_path="ai-pdf-transcribe",
+        throttle_classes=[utils.AIDocumentRateThrottle, utils.AIUserRateThrottle],
+    )
+    def ai_pdf_transcribe(self, request, *args, **kwargs):
+        """
+        POST /api/v1.0/documents/<resource_id>/ai-pdf-transcribe
+        with expected data:
+        - pdfUrl: str
+        Return JSON response with the new document ID containing the transcription.
+        """
+        serializer = serializers.AIPdfTranscribeSerializer(
+            data=request.data,
+            user=request.user
+        )
+        serializer.is_valid(raise_exception=True)
+        document = serializer.save()
+        
+        return drf.response.Response(
+            {"document_id": str(document.id)}, 
+            status=drf.status.HTTP_201_CREATED
+        )
+
 
 class DocumentAccessViewSet(
     ResourceAccessViewsetMixin,

src/backend/core/services/ai_services.py

@@ -2,13 +2,18 @@
 
 import json
 import re
+import os
+import requests
+import botocore
 
 from django.conf import settings
 from django.core.exceptions import ImproperlyConfigured
+from django.core.files.storage import default_storage
 
 from openai import OpenAI
 
 from core import enums
+from core.models import Document
 
 AI_ACTIONS = {
     "prompt": (
@@ -55,6 +60,22 @@ class AIService:
             raise ImproperlyConfigured("AI configuration not set")
         self.client = OpenAI(base_url=settings.AI_BASE_URL, api_key=settings.AI_API_KEY)
 
+    def call_proxy(self, system_content, text):
+       messages = [
+                {"role": "system", "content": system_content},
+                {"role": "user", "content": text},
+            ]
+       print('REQUEST', messages)
+       response = self.client.chat.completions.create(
+            model=settings.AI_MODEL,
+            messages=messages,
+        )
+       
+       print('RESPONSE', response)
+       content = response.choices[0].message.content
+       print('CONTENT', content)
+       return content
+
     def call_ai_api(self, system_content, text):
         """Helper method to call the OpenAI API and process the response."""
         response = self.client.chat.completions.create(
@@ -96,3 +117,26 @@ class AIService:
         language_display = enums.ALL_LANGUAGES.get(language, language)
         system_content = AI_TRANSLATE.format(language=language_display)
         return self.call_ai_api(system_content, text)
+
+    def transcribe_pdf(self, pdf_url):
+        """Transcribe PDF using the accessibility hackathon API and create a new document."""
+        try:
+            media_prefix = os.path.join(settings.MEDIA_BASE_URL, "media")
+            key = pdf_url[len(media_prefix):]
+
+            pdf_response = default_storage.connection.meta.client.get_object(
+                Bucket=default_storage.bucket_name,
+                Key=key
+            )
+            pdf_content = pdf_response['Body'].read()
+            
+            api_url = f"{settings.ACCESSIBILITY_API_BASE_URL}/transcribe/pdf"
+            files = {'file': ('document.pdf', pdf_content, 'application/pdf')}
+            headers = {'Accept': 'application/json'}
+            response = requests.post(api_url, files=files, headers=headers)
+            response.raise_for_status()
+            
+            transcribed_text = response.json()['markdown_content']
+            return transcribed_text
+        except Exception as e:
+            raise RuntimeError(f"Failed to transcribe PDF: {str(e)}")

src/backend/impress/settings.py

@@ -517,6 +517,12 @@ class Base(Configuration):
     AI_BASE_URL = values.Value(None, environ_name="AI_BASE_URL", environ_prefix=None)
     AI_MODEL = values.Value(None, environ_name="AI_MODEL", environ_prefix=None)
 
+    ACCESSIBILITY_API_BASE_URL = values.Value(
+        None,
+        environ_name="ACCESSIBILITY_API_BASE_URL",
+        environ_prefix=None,
+    )
+
     AI_DOCUMENT_RATE_THROTTLE_RATES = {
         "minute": 5,
         "hour": 100,

src/frontend/apps/impress/package.json

@@ -34,6 +34,7 @@
     "idb": "8.0.2",
     "lodash": "4.17.21",
     "luxon": "3.5.0",
+    "marked": "^15.0.7",
     "next": "15.1.6",
     "posthog-js": "1.215.6",
     "react": "*",

src/frontend/apps/impress/src/features/docs/doc-editor/api/useDocAIPdfTranscribe.tsx

@@ -0,0 +1,39 @@
+import { useMutation } from '@tanstack/react-query';
+
+import { APIError, errorCauses, fetchAPI } from '@/api';
+
+export type DocAIPdfTranscribe = {
+  docId: string;
+  pdfUrl: string;
+};
+
+export type DocAIPdfTranscribeResponse = {
+  document_id: string;
+};
+
+export const docAIPdfTranscribe = async ({
+  docId,
+  ...params
+}: DocAIPdfTranscribe): Promise<DocAIPdfTranscribeResponse> => {
+  const response = await fetchAPI(`documents/${docId}/ai-pdf-transcribe/`, {
+    method: 'POST',
+    body: JSON.stringify({
+      ...params,
+    }),
+  });
+
+  if (!response.ok) {
+    throw new APIError(
+      'Failed to request pdf transcription',
+      await errorCauses(response),
+    );
+  }
+
+  return response.json() as Promise<DocAIPdfTranscribeResponse>;
+};
+
+export function useDocAIPdfTranscribe() {
+  return useMutation<DocAIPdfTranscribeResponse, APIError, DocAIPdfTranscribe>({
+    mutationFn: docAIPdfTranscribe,
+  });
+}

src/frontend/apps/impress/src/features/docs/doc-editor/components/AIPdfButton.tsx

@@ -0,0 +1,88 @@
+import {
+  useBlockNoteEditor,
+  useComponentsContext,
+  useSelectedBlocks,
+} from '@blocknote/react';
+import {
+  Loader,
+  VariantType,
+  useToastProvider,
+} from '@openfun/cunningham-react';
+import { useRouter } from 'next/router';
+import { useState } from 'react';
+import { useTranslation } from 'react-i18next';
+
+import { Text } from '@/components';
+import { useDocStore } from '@/features/docs/doc-management/';
+
+import { useDocAIPdfTranscribe } from '../api/useDocAIPdfTranscribe';
+
+export const AIPdfButton = () => {
+  const editor = useBlockNoteEditor();
+  const Components = useComponentsContext();
+  const selectedBlocks = useSelectedBlocks(editor);
+  const { t } = useTranslation();
+  const { currentDoc } = useDocStore();
+  const { toast } = useToastProvider();
+  const router = useRouter();
+  const { mutateAsync: requestAIPdf, isPending } = useDocAIPdfTranscribe();
+  const [isLoading, setIsLoading] = useState(false);
+
+  if (!Components || !currentDoc) {
+    return null;
+  }
+
+  const show = selectedBlocks.length === 1 && selectedBlocks[0].type === 'file';
+  if (!show) {
+    return null;
+  }
+
+  const handlePdfTranscription = async () => {
+    console.log('selectedBlocks', selectedBlocks);
+    const pdfBlock = selectedBlocks[0];
+    const props = pdfBlock.props as { url?: string };
+    const pdfUrl = props?.url;
+    console.log('pdfUrl', pdfUrl);
+    if (!props || !pdfUrl) {
+      toast(t('No PDF file found'), VariantType.ERROR);
+      return;
+    }
+
+    setIsLoading(true);
+    try {
+      const response = await requestAIPdf({
+        docId: currentDoc.id,
+        pdfUrl,
+      });
+
+      setTimeout(() => {
+        // router.push causes the following error:
+        // TypeError: Cannot read properties of undefined (reading 'isDestroyed')
+        // void router.push(`/docs/${response.document_id}`);
+        window.location.href = `/docs/${response.document_id}?albert=true`;
+      }, 1000);
+    } catch (error) {
+      console.error('error', error);
+      toast(t('Failed to transcribe PDF'), VariantType.ERROR);
+    }
+  };
+
+  return (
+    <Components.FormattingToolbar.Button
+      className="bn-button bn-menu-item"
+      data-test="ai-pdf-transcribe"
+      label="AI"
+      mainTooltip={t('Transcribe PDF')}
+      icon={
+        isLoading ? (
+          <Loader size="small" />
+        ) : (
+          <Text $isMaterialIcon $size="l">
+            auto_awesome
+          </Text>
+        )
+      }
+      onClick={() => void handlePdfTranscription()}
+    />
+  );
+};

src/frontend/apps/impress/src/features/docs/doc-editor/components/Ai/AiButton.tsx

@@ -0,0 +1,303 @@
+import { Button, Input, Loader } from '@openfun/cunningham-react';
+import { marked } from 'marked';
+import { useSearchParams } from 'next/navigation';
+import { useState } from 'react';
+import styled from 'styled-components';
+
+import { fetchAPI } from '@/api';
+import { Box, Text } from '@/components';
+import { Doc } from '@/features/docs';
+
+import { useEditorStore } from '../../stores/useEditorStore';
+
+export const AIButtonEl = styled.button`
+  background-image: url('/assets/ia_baguette.png');
+  background-size: cover;
+  width: 48px;
+  height: 48px;
+  border-radius: 50%;
+  border: none;
+  cursor: pointer;
+  background-color: transparent;
+`;
+
+export const SuggestionButton = styled.button`
+  display: flex;
+  align-items: center;
+  border: none;
+  cursor: pointer;
+  background-color: white;
+  color: var(--c--theme--colors--greyscale-900);
+  height: 32px;
+  padding: 0 0.5rem;
+  border-radius: 4px;
+  font-weight: 600;
+  &:hover,
+  &:focus {
+    background-color: var(--c--theme--colors--greyscale-100);
+  }
+
+  span.material-icons {
+    margin-right: 4px;
+  }
+
+  span.sub {
+    color: var(--c--theme--colors--greyscale-600);
+    margin-left: 4px;
+    font-weight: 500;
+  }
+`;
+
+export const AiButton = ({ doc }: { doc: Doc }) => {
+  const searchParams = useSearchParams();
+
+  const [isOpen, setIsOpen] = useState(searchParams.get('albert') === 'true');
+
+  return (
+    <>
+      <Box
+        $position="absolute"
+        $css={`
+        right: 0;
+        bottom: 0;
+        padding: 1rem;
+        margin: 1rem;
+        z-index: 1;
+        
+        `}
+      >
+        <AIButtonEl
+          aria-label="Posez une question à Albert à propos de ce document"
+          onClick={() => setIsOpen(true)}
+        />
+      </Box>
+
+      <AiChat doc={doc} isOpen={isOpen} onClose={() => setIsOpen(false)} />
+    </>
+  );
+};
+type Message = {
+  role: 'user' | 'assistant';
+  content: string;
+};
+
+const AiChat = (props: { isOpen: boolean; onClose: () => void; doc: Doc }) => {
+  const [prompt, setPrompt] = useState('');
+  const { editor } = useEditorStore();
+  const [isLoading, setIsLoading] = useState(false);
+
+  const [messages, setMessages] = useState<Message[]>([]);
+
+  if (!props.isOpen) {
+    return null;
+  }
+
+  const newPrompt = async (prompt: string) => {
+    if (!editor) {
+      return;
+    }
+
+    setIsLoading(true);
+    setMessages([...messages, { role: 'user', content: prompt }]);
+
+    const editorContentFormatted = await editor.blocksToMarkdownLossy();
+
+    const response = await fetchAPI(`documents/${props.doc.id}/ai-proxy/`, {
+      method: 'POST',
+      body: JSON.stringify({
+        system:
+          'You are a helpful assistant. You are given a text in markdown format and you need to answer the question. Here is the text: ' +
+          editorContentFormatted,
+        text: prompt,
+      }),
+    });
+    // eslint-disable-next-line @typescript-eslint/no-unsafe-assignment
+    const data = (await response.json()) as string;
+
+    console.log('response', data);
+    setMessages((messages) => [
+      ...messages,
+      { role: 'assistant', content: data },
+    ]);
+    setIsLoading(false);
+  };
+
+  const submit = async (e: React.FormEvent<HTMLFormElement>) => {
+    e.preventDefault();
+    setPrompt(''); // Clear the prompt after submitting the form
+    await newPrompt(prompt);
+  };
+
+  return (
+    <Box
+      $position="absolute"
+      $css={`
+        right: 0;
+        bottom: 0;
+        padding: 1rem;
+        width: 450px;
+        min-height: min(61vh, 365px);
+            box-shadow: rgba(15, 15, 15, 0.04) 0px 0px 0px 1px, rgba(15, 15, 15, 0.03) 0px 3px 6px, rgba(15, 15, 15, 0.06) 0px 9px 24px;
+        max-height: max(-180px + 100vh, 365px);
+        overflow-y: auto;
+        border-radius: 16px;
+        background-color: white;
+        margin: 1rem;
+        z-index: 2;
+      `}
+      $direction="column"
+    >
+      <Box $direction="row" $align="center" $justify="space-between">
+        <Text $theme="greyscale" $variation="1000" $weight="bold" $size="s">
+          {messages.length == 0 ? '' : 'Demander à Albert'}
+        </Text>
+        <Button
+          size="small"
+          onClick={props.onClose}
+          color="tertiary-text"
+          icon={<span className="material-icons">close</span>}
+        />
+      </Box>
+      {messages.length == 0 && (
+        <Box $gap="1rem" $position="relative" $css="top: -24px;">
+          <Box $gap="0.5rem">
+            <Box
+              $css={`
+            background-image: url('/assets/ia_baguette_question_mark.png');
+            background-size: cover;
+            width: 48px;
+            height: 48px;
+            border-radius: 50%;
+            border: none;
+            cursor: pointer;
+            `}
+            ></Box>
+            <Text $theme="primary" $variation="800">
+              Bonjour, comment puis-je vous aider ?
+            </Text>
+          </Box>
+          <Box $gap="0.5rem">
+            <Text $theme="greyscale" $variation="1000" $weight="bold" $size="s">
+              Suggestions
+            </Text>
+            <Box>
+              <SuggestionButton
+                onClick={() =>
+                  void newPrompt(
+                    'Resume ce document sous forme textuelle uniquement',
+                  )
+                }
+              >
+                <span className="material-icons">description</span>
+                Résumer <span className="sub">cette page</span>
+              </SuggestionButton>
+              <SuggestionButton
+                onClick={() =>
+                  void newPrompt('Quel est le sujet principal de ce document ?')
+                }
+              >
+                <span className="material-icons">help_center</span>
+                Poser des questions <span className="sub">sur cette page</span>
+              </SuggestionButton>
+            </Box>
+          </Box>
+        </Box>
+      )}
+      <Box
+        $flex={1}
+        $direction="column"
+        $gap="1rem"
+        $css={`
+      overflow-y: auto;
+      font-size: 14px;
+          mask-image: linear-gradient(black calc(100% - 32px), transparent calc(100% - 4px));
+          padding-bottom: 32px;
+`}
+        aria-live="polite"
+      >
+        {messages.map((message, index) => (
+          <Message key={index} message={message} />
+        ))}
+
+        {(isLoading || false) && (
+          <Box $display="flex" $direction="row" $align="center" $gap="0.5rem">
+            <Loader size="small" />
+            Albert réfléchit ...
+          </Box>
+        )}
+      </Box>
+      <Box>
+        <form onSubmit={(e) => void submit(e)} style={{ width: '100%' }}>
+          <Input
+            type="text"
+            label="Posez votre question"
+            name="prompt"
+            fullWidth={true}
+            onChange={(e) => setPrompt(e.target.value)}
+            value={prompt} // Ensure the input value is updated with the state
+            rightIcon={<span className="material-icons">send</span>}
+          />
+        </form>
+      </Box>
+    </Box>
+  );
+};
+
+const Message = ({ message }: { message: Message }) => {
+  return (
+    <Box>
+      <Box $direction="row" $align="center" $gap="0.5rem">
+        {message.role === 'user' ? (
+          <Box
+            aria-hidden={true}
+            $css={`
+            background-color:#417DC4;
+            width: 24px;
+            height: 24px;
+            border-radius: 50%;
+            border: none;
+            cursor: pointer;
+            color: white;
+            font-size: 10px;
+            align-items: center;
+            justify-content: center;
+            display: flex;
+            `}
+          >
+            VD
+          </Box>
+        ) : (
+          <Box
+            aria-hidden={true}
+            $css={`
+                background-image: url('/assets/ia_baguette.png');
+                background-size: cover;
+                width: 24px;
+                height: 24px;
+                border-radius: 50%;
+                border: none;
+                cursor: pointer;
+                `}
+          ></Box>
+        )}
+        <Text $weight="bold">
+          {message.role === 'user' ? 'Vous' : 'Albert'}
+        </Text>
+      </Box>
+      <Box
+        $css={`
+            font-size: 12px;
+            padding-left: 34px;
+            color: var(--c--theme--colors--greyscale-700);
+
+            p {
+                margin: 0;
+            }
+            `}
+        dangerouslySetInnerHTML={{
+          __html: marked.parse(message.content) as string,
+        }}
+      ></Box>
+    </Box>
+  );
+};

src/frontend/apps/impress/src/features/docs/doc-editor/components/BlockNoteToolbar.tsx

@@ -8,21 +8,27 @@ import {
 import React, { useCallback } from 'react';
 
 import { AIGroupButton } from './AIButton';
+import { AIPdfButton } from './AIPdfButton';
 import { MarkdownButton } from './MarkdownButton';
 
 export const BlockNoteToolbar = () => {
   const formattingToolbar = useCallback(
-    ({ blockTypeSelectItems }: FormattingToolbarProps) => (
+    ({ blockTypeSelectItems }: FormattingToolbarProps) => {
-      <FormattingToolbar>
+      console.log('formattingToolbar', blockTypeSelectItems);
-        {getFormattingToolbarItems(blockTypeSelectItems)}
+      return (
+        <FormattingToolbar>
+          {getFormattingToolbarItems(blockTypeSelectItems)}
 
-        {/* Extra button to do some AI powered actions */}
+          {/* Extra button to do some AI powered actions */}
-        <AIGroupButton key="AIButton" />
+          <AIGroupButton key="AIButton" />
 
-        {/* Extra button to convert from markdown to json */}
+          {/* Extra button to convert from markdown to json */}
-        <MarkdownButton key="customButton" />
+          <MarkdownButton key="customButton" />
-      </FormattingToolbar>
+
-    ),
+          <AIPdfButton />
+        </FormattingToolbar>
+      );
+    },
     [],
   );
 

src/frontend/apps/impress/src/features/docs/doc-editor/components/DocEditor.tsx

@@ -16,6 +16,7 @@ import { TableContent } from '@/features/docs/doc-table-content/';
 import { Versions, useDocVersion } from '@/features/docs/doc-versioning/';
 import { useResponsiveStore } from '@/stores';
 
+import { AiButton } from './Ai/AiButton';
 import { BlockNoteEditor, BlockNoteEditorVersion } from './BlockNoteEditor';
 
 interface DocEditorProps {
@@ -38,6 +39,7 @@ export const DocEditor = ({ doc, versionId }: DocEditorProps) => {
 
   return (
     <>
+      <AiButton doc={doc} />
       {isDesktop && !isVersion && (
         <Box
           $position="absolute"