From 77a9feb32df2543f24cdb36ec8bfde3dd522662c Mon Sep 17 00:00:00 2001 From: SuveenE Date: Sat, 18 Oct 2025 13:10:25 +0800 Subject: [PATCH 1/7] Update UI --- frontend/package-lock.json | 3298 ++++++++++++++++++++++++++++++++--- frontend/package.json | 1 + frontend/src/app/layout.tsx | 7 +- frontend/src/app/page.tsx | 179 +- 4 files changed, 3167 insertions(+), 318 deletions(-) diff --git a/frontend/package-lock.json b/frontend/package-lock.json index 8d3859e..a76dc0d 100644 --- a/frontend/package-lock.json +++ b/frontend/package-lock.json @@ -21,6 +21,7 @@ "react-dom": "^19.0.0", "sonner": "^2.0.5", "tailwind-merge": "^3.3.0", + "tldraw": "^4.1.1", "zod": "^3.25.56" }, "devDependencies": { @@ -371,6 +372,44 @@ "node": "^18.18.0 || ^20.9.0 || >=21.1.0" } }, + "node_modules/@floating-ui/core": { + "version": "1.7.3", + "resolved": "https://registry.npmjs.org/@floating-ui/core/-/core-1.7.3.tgz", + "integrity": 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"https://registry.npmjs.org/reflect.getprototypeof/-/reflect.getprototypeof-1.0.10.tgz", @@ -5878,6 +8505,12 @@ "node": ">=0.10.0" } }, + "node_modules/rope-sequence": { + "version": "1.3.4", + "resolved": "https://registry.npmjs.org/rope-sequence/-/rope-sequence-1.3.4.tgz", + "integrity": "sha512-UT5EDe2cu2E/6O4igUr5PSFs23nvvukicWHx6GnOPlHAiiYbzNuCRQCuiUdHJQcqKalLKlrYJnjY0ySGsXNQXQ==", + "license": "MIT" + }, "node_modules/run-parallel": { "version": "1.2.0", "resolved": "https://registry.npmjs.org/run-parallel/-/run-parallel-1.2.0.tgz", @@ -6515,6 +9148,41 @@ "url": "https://github.com/sponsors/jonschlinkert" } }, + "node_modules/tippy.js": { + "version": "6.3.7", + "resolved": "https://registry.npmjs.org/tippy.js/-/tippy.js-6.3.7.tgz", + "integrity": "sha512-E1d3oP2emgJ9dRQZdf3Kkn0qJgI6ZLpyS5z6ZkY1DF3kaQaBsGZsndEpHwx+eC+tYM41HaSNvNtLx8tU57FzTQ==", + "license": "MIT", + "dependencies": { + "@popperjs/core": "^2.9.0" + } + }, + "node_modules/tldraw": { + "version": "4.1.1", + "resolved": "https://registry.npmjs.org/tldraw/-/tldraw-4.1.1.tgz", + "integrity": "sha512-Hsd1jU+f7Ic/pmSNFxlYTRUeGF9z+zl1F6STDsOpz9VPc8LW7vcHr7nnz+lxTAJx8AD0KKoz3aJH+W5c9bPYkA==", + "license": "SEE LICENSE IN LICENSE.md", + "dependencies": { + "@tiptap/core": "^2.9.1", + "@tiptap/extension-code": "^2.9.1", + "@tiptap/extension-highlight": "^2.9.1", + "@tiptap/extension-link": "^2.9.1", + "@tiptap/pm": "^2.9.1", + "@tiptap/react": "^2.9.1", + "@tiptap/starter-kit": "^2.9.1", + "@tldraw/editor": "4.1.1", + "@tldraw/store": "4.1.1", + "classnames": "^2.5.1", + "hotkeys-js": "^3.13.9", + "idb": "^7.1.1", + "lz-string": "^1.5.0", + "radix-ui": "^1.4.2" + }, + "peerDependencies": { + "react": "^18.2.0 || ^19.0.0", + "react-dom": "^18.2.0 || ^19.0.0" + } + }, "node_modules/to-regex-range": { "version": "5.0.1", "resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz", @@ -6675,6 +9343,12 @@ "node": ">=14.17" } }, + "node_modules/uc.micro": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/uc.micro/-/uc.micro-2.1.0.tgz", + "integrity": "sha512-ARDJmphmdvUk6Glw7y9DQ2bFkKBHwQHLi2lsaH6PPmz/Ka9sFOBsBluozhDltWmnv9u/cF6Rt87znRTPV+yp/A==", + "license": "MIT" + }, "node_modules/unbox-primitive": { "version": "1.1.0", "resolved": "https://registry.npmjs.org/unbox-primitive/-/unbox-primitive-1.1.0.tgz", @@ -6775,6 +9449,64 @@ "punycode": "^2.1.0" } }, + "node_modules/use-callback-ref": { + "version": "1.3.3", + "resolved": "https://registry.npmjs.org/use-callback-ref/-/use-callback-ref-1.3.3.tgz", + "integrity": "sha512-jQL3lRnocaFtu3V00JToYz/4QkNWswxijDaCVNZRiRTO3HQDLsdu1ZtmIUvV4yPp+rvWm5j0y0TG/S61cuijTg==", + "license": "MIT", + "dependencies": { + "tslib": "^2.0.0" + }, + "engines": { + "node": ">=10" + }, + "peerDependencies": { + "@types/react": "*", + "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0 || ^19.0.0-rc" + }, + "peerDependenciesMeta": { + "@types/react": { + "optional": true + } + } + }, + "node_modules/use-sidecar": { + 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"resolved": "https://registry.npmjs.org/w3c-keyname/-/w3c-keyname-2.2.8.tgz", + "integrity": "sha512-dpojBhNsCNN7T82Tm7k26A6G9ML3NkhDsnw9n/eoxSRlVBB4CEtIQ/KTCLI2Fwf3ataSXRhYFkQi3SlnFwPvPQ==", + "license": "MIT" + }, "node_modules/which": { "version": "2.0.2", "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz", diff --git a/frontend/package.json b/frontend/package.json index efb6cbf..f8f530c 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -22,6 +22,7 @@ "react-dom": "^19.0.0", "sonner": "^2.0.5", "tailwind-merge": "^3.3.0", + "tldraw": "^4.1.1", "zod": "^3.25.56" }, "devDependencies": { diff --git a/frontend/src/app/layout.tsx b/frontend/src/app/layout.tsx index 4cc9b1a..ce33ecd 100644 --- a/frontend/src/app/layout.tsx +++ b/frontend/src/app/layout.tsx @@ -29,12 +29,7 @@ export default function RootLayout({ enableSystem disableTransitionOnChange > - -
-
- {children} -
- + {children} diff --git a/frontend/src/app/page.tsx b/frontend/src/app/page.tsx index c3b82a4..70b20e2 100644 --- a/frontend/src/app/page.tsx +++ b/frontend/src/app/page.tsx @@ -1,40 +1,161 @@ 'use client'; -import { useState } from 'react'; +import { useEffect, useRef, useState } from 'react'; -import { chat } from '@/actions/messages'; +import { Mic, MicOff } from 'lucide-react'; +import { Tldraw } from 'tldraw'; +import 'tldraw/tldraw.css'; import { Button } from '@/components/ui/button'; -import { Input } from '@/components/ui/input'; - -import { messageRequestSchema } from '@/types/messages'; export default function Home() { - const [message, setMessage] = useState(''); - const [response, setResponse] = useState(''); + const [generatedImage, setGeneratedImage] = useState(null); + const [isGenerating, setIsGenerating] = useState(false); + const [isListening, setIsListening] = useState(false); + const [transcript, setTranscript] = useState(''); + const recognitionRef = useRef(null); + + useEffect(() => { + // Check if browser supports Speech Recognition + if (typeof window !== 'undefined') { + const SpeechRecognition = + (window as any).SpeechRecognition || (window as any).webkitSpeechRecognition; + + if (SpeechRecognition) { + recognitionRef.current = new SpeechRecognition(); + recognitionRef.current.continuous = true; + recognitionRef.current.interimResults = true; + recognitionRef.current.lang = 'en-US'; + + recognitionRef.current.onresult = (event: any) => { + let interimTranscript = ''; + let finalTranscript = ''; + + for (let i = event.resultIndex; i < event.results.length; i++) { + const transcriptPiece = event.results[i][0].transcript; + if (event.results[i].isFinal) { + finalTranscript += transcriptPiece + ' '; + } else { + interimTranscript += transcriptPiece; + } + } + + setTranscript((prev) => prev + finalTranscript); + }; + + recognitionRef.current.onerror = (event: any) => { + console.error('Speech recognition error:', event.error); + setIsListening(false); + }; + + recognitionRef.current.onend = () => { + setIsListening(false); + }; + } + } + + return () => { + if (recognitionRef.current) { + recognitionRef.current.stop(); + } + }; + }, []); + + const toggleListening = () => { + if (!recognitionRef.current) { + alert('Speech recognition is not supported in your browser'); + return; + } + + if (isListening) { + recognitionRef.current.stop(); + setIsListening(false); + } else { + setTranscript(''); + recognitionRef.current.start(); + setIsListening(true); + } + }; + + const handleGenerate = async () => { + setIsGenerating(true); + console.log('Generating with transcript:', transcript); + // TODO: Implement generation logic + // Simulate generation + setTimeout(() => { + setIsGenerating(false); + // For now, just set a placeholder + setGeneratedImage('generated'); + }, 2000); + }; + return ( -
-

Chat with your data

- setMessage(e.target.value)} - placeholder="Enter a message" - className="w-full" - autoFocus - /> - -

{response}

+
+ {/* Left Side - Drawing Canvas */} +
+
Drawing Canvas
+
+ +
+
+ + {/* Right Sidebar - Generated Image & Controls */} +
+ {/* Generated Image Display */} +
+ +
+ {generatedImage ? ( +
Generated image preview
+ ) : ( + No image generated yet + )} +
+
+ + {/* Divider */} +
+ + {/* Microphone Control */} +
+ + +
+ + {/* Transcript Display */} + {transcript && ( +
+ +
+ {transcript} +
+
+ )} + + {/* Generate Button */} + + + {/* Spacer */} +
+
); } From 554cbf6f14e6b9449b79863927f049f64c4d547b Mon Sep 17 00:00:00 2001 From: SuveenE Date: Sat, 18 Oct 2025 13:10:36 +0800 Subject: [PATCH 2/7] Add image gen endpoint --- backend/app/api/routes.py | 17 ++ backend/app/controllers/image.py | 39 +++ backend/app/models/image.py | 24 ++ backend/app/services/image.py | 82 +++++ backend/poetry.lock | 502 ++++++++++++++++++++++++++++++- backend/pyproject.toml | 2 + 6 files changed, 660 insertions(+), 6 deletions(-) create mode 100644 backend/app/controllers/image.py create mode 100644 backend/app/models/image.py create mode 100644 backend/app/services/image.py diff --git a/backend/app/api/routes.py b/backend/app/api/routes.py index f71a7bc..4fd9e9f 100644 --- a/backend/app/api/routes.py +++ b/backend/app/api/routes.py @@ -2,7 +2,9 @@ from fastapi import APIRouter +from app.controllers.image import ImageController from app.controllers.messages import MessagesController +from app.services.image import ImageService from app.services.messages import MessagesService log = logging.getLogger(__name__) @@ -31,3 +33,18 @@ def get_messages_controller_router(): tags=["messages"], prefix="/api/messages", ) + + +### Image Generation + + +def get_image_controller_router(): + service = ImageService() + return ImageController(service=service).router + + +router.include_router( + get_image_controller_router(), + tags=["image"], + prefix="/api/generate-image", +) diff --git a/backend/app/controllers/image.py b/backend/app/controllers/image.py new file mode 100644 index 0000000..3b33812 --- /dev/null +++ b/backend/app/controllers/image.py @@ -0,0 +1,39 @@ +import logging + +from fastapi import APIRouter, HTTPException + +from app.models.image import ImageGenerationRequest, ImageGenerationResponse +from app.services.image import ImageService + +log = logging.getLogger(__name__) + + +class ImageController: + def __init__(self, service: ImageService): + self.router = APIRouter() + self.service = service + self.setup_routes() + + def setup_routes(self): + router = self.router + + @router.post( + "", + response_model=ImageGenerationResponse, + ) + async def generate_image(input: ImageGenerationRequest) -> ImageGenerationResponse: + log.info(f"Generating image with prompt: {input.prompt}") + try: + response: ImageGenerationResponse = await self.service.generate_image(input=input) + log.info("Image generation completed successfully") + return response + except ValueError as e: + log.error(f"Validation error: {e}") + raise HTTPException(status_code=400, detail=str(e)) + except RuntimeError as e: + log.error(f"Service error: {e}") + raise HTTPException(status_code=500, detail=str(e)) + except Exception as e: + log.error(f"Unexpected error: {e}") + raise HTTPException(status_code=500, detail="An unexpected error occurred") + diff --git a/backend/app/models/image.py b/backend/app/models/image.py new file mode 100644 index 0000000..23f42f2 --- /dev/null +++ b/backend/app/models/image.py @@ -0,0 +1,24 @@ +from typing import Optional + +from pydantic import BaseModel, Field + + +class ImageGenerationRequest(BaseModel): + prompt: str = Field( + description="The text prompt describing the image to generate." + ) + image_data: Optional[str] = Field( + default=None, + description="Optional base64 encoded image data to use as input for image generation." + ) + + +class ImageGenerationResponse(BaseModel): + image_data: str = Field( + description="Base64 encoded generated image data." + ) + text_response: Optional[str] = Field( + default=None, + description="Any text response from the model." + ) + diff --git a/backend/app/services/image.py b/backend/app/services/image.py new file mode 100644 index 0000000..73b13ab --- /dev/null +++ b/backend/app/services/image.py @@ -0,0 +1,82 @@ +import base64 +import logging +from io import BytesIO +from typing import Optional + +from google import genai +from PIL import Image + +from app.models.image import ImageGenerationRequest, ImageGenerationResponse + +log = logging.getLogger(__name__) + + +class ImageService: + def __init__(self): + self.client = genai.Client() + self.model = "gemini-2.0-flash-exp" + + async def generate_image( + self, input: ImageGenerationRequest + ) -> ImageGenerationResponse: + """ + Generate an image using Google's Gemini API. + + Args: + input: The image generation request containing prompt and optional input image + + Returns: + ImageGenerationResponse containing the generated image data + """ + log.info(f"Generating image with prompt: {input.prompt}") + + # Prepare the content list + contents = [input.prompt] + + # If there's input image data, decode it and add to contents + if input.image_data: + try: + image_bytes = base64.b64decode(input.image_data) + image = Image.open(BytesIO(image_bytes)) + contents.append(image) + log.info("Added input image to request") + except Exception as e: + log.error(f"Error decoding input image: {e}") + raise ValueError(f"Invalid image data: {e}") + + # Call Gemini API + try: + response = self.client.models.generate_content( + model=self.model, + contents=contents, + ) + + # Process response + text_response: Optional[str] = None + generated_image_data: Optional[str] = None + + for part in response.candidates[0].content.parts: + if part.text is not None: + text_response = part.text + log.info(f"Received text response: {text_response}") + elif part.inline_data is not None: + # Convert image to base64 + image = Image.open(BytesIO(part.inline_data.data)) + buffered = BytesIO() + image.save(buffered, format="PNG") + generated_image_data = base64.b64encode(buffered.getvalue()).decode('utf-8') + log.info("Generated image received and encoded") + + if not generated_image_data: + log.error("No image data received from Gemini API") + raise ValueError("No image generated by the model") + + return ImageGenerationResponse( + image_data=generated_image_data, + text_response=text_response + ) + + except Exception as e: + log.error(f"Error calling Gemini API: {e}") + raise RuntimeError(f"Failed to generate image: {e}") + diff --git a/backend/poetry.lock b/backend/poetry.lock index 066df6b..5c2afef 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.0.0 and should not be changed by hand. [[package]] name = "annotated-types" @@ -31,7 +31,7 @@ typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"] -test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""] +test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"] trio = ["trio (>=0.26.1)"] [[package]] @@ -94,6 +94,18 @@ d = ["aiohttp (>=3.10)"] jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] uvloop = ["uvloop (>=0.15.2)"] +[[package]] +name = "cachetools" +version = "6.2.1" +description = "Extensible memoizing collections and decorators" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "cachetools-6.2.1-py3-none-any.whl", hash = "sha256:09868944b6dde876dfd44e1d47e18484541eaf12f26f29b7af91b26cc892d701"}, + {file = "cachetools-6.2.1.tar.gz", hash = "sha256:3f391e4bd8f8bf0931169baf7456cc822705f4e2a31f840d218f445b9a854201"}, +] + [[package]] name = "certifi" version = "2025.4.26" @@ -106,6 +118,129 @@ files = [ {file = "certifi-2025.4.26.tar.gz", hash = "sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6"}, ] +[[package]] +name = "charset-normalizer" +version = "3.4.4" +description = "The Real First Universal Charset Detector. 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"0e65ab1436dfb4c714f764e0069e87d04fce3e83bdba7f4fee1cebfb76b65e11" +content-hash = "33191fd1441b2cab94a1e52bd8f3e56965993743ffb52ad4593376b5030eb842" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index d21fde0..6eda5e2 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -13,6 +13,8 @@ dependencies = [ "httpx (>=0.28.1,<0.29.0)", "uvicorn (>=0.34.3,<0.35.0)", "python-dotenv (>=1.1.0,<2.0.0)", + "google-genai (>=1.0.0,<2.0.0)", + "pillow (>=11.0.0,<12.0.0)", ] [tool.poetry] From beee13156d319577adb2cf1679a775873089f441 Mon Sep 17 00:00:00 2001 From: SuveenE Date: Sat, 18 Oct 2025 13:25:28 +0800 Subject: [PATCH 3/7] Add test input field --- frontend/.env.example | 2 +- frontend/src/app/page.tsx | 129 +++++++++++++++++++++++++++++++------- 2 files changed, 109 insertions(+), 22 deletions(-) diff --git a/frontend/.env.example b/frontend/.env.example index 677c54c..966485d 100644 --- a/frontend/.env.example +++ b/frontend/.env.example @@ -1 +1 @@ -EXPO_PUBLIC_API_BASE_URL=http://0.0.0.0:8080 +NEXT_PUBLIC_API_URL=http://localhost:8080 diff --git a/frontend/src/app/page.tsx b/frontend/src/app/page.tsx index 70b20e2..89e647c 100644 --- a/frontend/src/app/page.tsx +++ b/frontend/src/app/page.tsx @@ -1,5 +1,7 @@ 'use client'; +import Image from 'next/image'; + import { useEffect, useRef, useState } from 'react'; import { Mic, MicOff } from 'lucide-react'; @@ -7,13 +9,18 @@ import { Tldraw } from 'tldraw'; import 'tldraw/tldraw.css'; import { Button } from '@/components/ui/button'; +import { Input } from '@/components/ui/input'; export default function Home() { const [generatedImage, setGeneratedImage] = useState(null); const [isGenerating, setIsGenerating] = useState(false); const [isListening, setIsListening] = useState(false); const [transcript, setTranscript] = useState(''); + const [error, setError] = useState(null); + // eslint-disable-next-line @typescript-eslint/no-explicit-any const recognitionRef = useRef(null); + // eslint-disable-next-line @typescript-eslint/no-explicit-any + const editorRef = useRef(null); useEffect(() => { // Check if browser supports Speech Recognition @@ -27,22 +34,21 @@ export default function Home() { recognitionRef.current.interimResults = true; recognitionRef.current.lang = 'en-US'; + // eslint-disable-next-line @typescript-eslint/no-explicit-any recognitionRef.current.onresult = (event: any) => { - let interimTranscript = ''; let finalTranscript = ''; for (let i = event.resultIndex; i < event.results.length; i++) { const transcriptPiece = event.results[i][0].transcript; if (event.results[i].isFinal) { finalTranscript += transcriptPiece + ' '; - } else { - interimTranscript += transcriptPiece; } } setTranscript((prev) => prev + finalTranscript); }; + // eslint-disable-next-line @typescript-eslint/no-explicit-any recognitionRef.current.onerror = (event: any) => { console.error('Speech recognition error:', event.error); setIsListening(false); @@ -78,15 +84,74 @@ export default function Home() { }; const handleGenerate = async () => { + if (!transcript.trim()) { + setError('Please provide a voice prompt first'); + return; + } + setIsGenerating(true); - console.log('Generating with transcript:', transcript); - // TODO: Implement generation logic - // Simulate generation - setTimeout(() => { + setError(null); + + try { + // Export the canvas as base64 image + let canvasImageData: string | null = null; + + if (editorRef.current) { + const editor = editorRef.current; + const shapeIds = editor.getCurrentPageShapeIds(); + + if (shapeIds.size > 0) { + // Export the canvas to PNG using tldraw's toImage method + const { blob } = await editor.toImage(Array.from(shapeIds), { + format: 'png', + background: false, + }); + + // Convert blob to base64 + await new Promise((resolve, reject) => { + const reader = new FileReader(); + reader.onloadend = () => { + const base64data = reader.result as string; + // Remove the data:image/png;base64, prefix + canvasImageData = base64data.split(',')[1]; + resolve(null); + }; + reader.onerror = reject; + reader.readAsDataURL(blob); + }); + } + } + + // Call the backend API + const apiUrl = process.env.NEXT_PUBLIC_API_URL || 'http://localhost:8080'; + const response = await fetch(`${apiUrl}/api/generate-image`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify({ + prompt: transcript, + image_data: canvasImageData, + }), + }); + + if (!response.ok) { + const errorData = await response.json(); + throw new Error(errorData.detail || 'Failed to generate image'); + } + + const data = await response.json(); + setGeneratedImage(data.image_data); + + if (data.text_response) { + console.log('Model response:', data.text_response); + } + } catch (err) { + console.error('Error generating image:', err); + setError(err instanceof Error ? err.message : 'Failed to generate image'); + } finally { setIsGenerating(false); - // For now, just set a placeholder - setGeneratedImage('generated'); - }, 2000); + } }; return ( @@ -95,7 +160,11 @@ export default function Home() {
Drawing Canvas
- + { + editorRef.current = editor; + }} + />
@@ -104,9 +173,14 @@ export default function Home() { {/* Generated Image Display */}
-
+
{generatedImage ? ( -
Generated image preview
+ Generated ) : ( No image generated yet )} @@ -116,6 +190,18 @@ export default function Home() { {/* Divider */}
+ {/* Text Input */} +
+ + setTranscript(e.target.value)} + className="w-full" + /> +
+ {/* Microphone Control */}
@@ -138,18 +224,19 @@ export default function Home() {
- {/* Transcript Display */} - {transcript && ( -
- -
- {transcript} -
+ {/* Error Display */} + {error && ( +
+ {error}
)} {/* Generate Button */} - From 652d1ca85dc4cc4f762fb1c5af7a14bfdcbc84c2 Mon Sep 17 00:00:00 2001 From: SuveenE Date: Sat, 18 Oct 2025 13:54:11 +0800 Subject: [PATCH 4/7] Update model --- backend/app/services/image.py | 46 +++++++++-------- frontend/src/app/page.tsx | 96 +++++++++++++++++++++++++++-------- 2 files changed, 101 insertions(+), 41 deletions(-) diff --git a/backend/app/services/image.py b/backend/app/services/image.py index 73b13ab..3586f30 100644 --- a/backend/app/services/image.py +++ b/backend/app/services/image.py @@ -1,7 +1,6 @@ import base64 import logging from io import BytesIO -from typing import Optional from google import genai from PIL import Image @@ -14,13 +13,13 @@ class ImageService: def __init__(self): self.client = genai.Client() - self.model = "gemini-2.0-flash-exp" + self.model = "gemini-2.5-flash-image" async def generate_image( self, input: ImageGenerationRequest ) -> ImageGenerationResponse: """ - Generate an image using Google's Gemini API. + Generate an image using Google's Imagen API. Args: input: The image generation request containing prompt and optional input image @@ -30,43 +29,48 @@ async def generate_image( """ log.info(f"Generating image with prompt: {input.prompt}") - # Prepare the content list - contents = [input.prompt] - - # If there's input image data, decode it and add to contents + # Prepare reference image if provided + reference_image = None if input.image_data: try: image_bytes = base64.b64decode(input.image_data) - image = Image.open(BytesIO(image_bytes)) - contents.append(image) - log.info("Added input image to request") + reference_image = Image.open(BytesIO(image_bytes)) + log.info("Added reference image to request") except Exception as e: log.error(f"Error decoding input image: {e}") raise ValueError(f"Invalid image data: {e}") - # Call Gemini API + # Call Gemini API with image generation model try: + # Build the contents list - prompt is required, reference image is optional + contents = [input.prompt] + if reference_image: + contents.append(reference_image) + response = self.client.models.generate_content( model=self.model, - contents=contents, + contents=contents ) - # Process response - text_response: Optional[str] = None - generated_image_data: Optional[str] = None + # Parse the response - can contain text and/or image parts + if not response.candidates or len(response.candidates) == 0: + log.error("No candidates received from Gemini API") + raise ValueError("No response generated by the model") + + generated_image_data = None + text_response = None + # Iterate through response parts to extract text and image for part in response.candidates[0].content.parts: if part.text is not None: text_response = part.text - log.info(f"Received text response: {text_response}") + log.info(f"Received text response: {text_response[:100]}...") elif part.inline_data is not None: - # Convert image to base64 - image = Image.open(BytesIO(part.inline_data.data)) - buffered = BytesIO() - image.save(buffered, format="PNG") - generated_image_data = base64.b64encode(buffered.getvalue()).decode('utf-8') + # Convert inline data to base64 + generated_image_data = base64.b64encode(part.inline_data.data).decode('utf-8') log.info("Generated image received and encoded") + # Ensure we got at least an image if not generated_image_data: log.error("No image data received from Gemini API") raise ValueError("No image generated by the model") diff --git a/frontend/src/app/page.tsx b/frontend/src/app/page.tsx index 89e647c..05e74f7 100644 --- a/frontend/src/app/page.tsx +++ b/frontend/src/app/page.tsx @@ -5,7 +5,7 @@ import Image from 'next/image'; import { useEffect, useRef, useState } from 'react'; import { Mic, MicOff } from 'lucide-react'; -import { Tldraw } from 'tldraw'; +import { Tldraw, createShapeId } from 'tldraw'; import 'tldraw/tldraw.css'; import { Button } from '@/components/ui/button'; @@ -17,6 +17,7 @@ export default function Home() { const [isListening, setIsListening] = useState(false); const [transcript, setTranscript] = useState(''); const [error, setError] = useState(null); + const [frameId, setFrameId] = useState(null); // eslint-disable-next-line @typescript-eslint/no-explicit-any const recognitionRef = useRef(null); // eslint-disable-next-line @typescript-eslint/no-explicit-any @@ -96,29 +97,41 @@ export default function Home() { // Export the canvas as base64 image let canvasImageData: string | null = null; - if (editorRef.current) { + if (editorRef.current && frameId) { const editor = editorRef.current; - const shapeIds = editor.getCurrentPageShapeIds(); + const frame = editor.getShape(frameId); - if (shapeIds.size > 0) { - // Export the canvas to PNG using tldraw's toImage method - const { blob } = await editor.toImage(Array.from(shapeIds), { - format: 'png', - background: false, + if (frame) { + // Get all shapes that are children of the frame + const childShapeIds = editor.getSortedChildIdsForParent(frameId).filter((id: string) => { + const shape = editor.getShape(id); + return shape && !shape.isLocked; }); - // Convert blob to base64 - await new Promise((resolve, reject) => { - const reader = new FileReader(); - reader.onloadend = () => { - const base64data = reader.result as string; - // Remove the data:image/png;base64, prefix - canvasImageData = base64data.split(',')[1]; - resolve(null); - }; - reader.onerror = reject; - reader.readAsDataURL(blob); - }); + // Include the frame itself and all its children for export + const shapeIdsToExport = [frameId, ...childShapeIds]; + + if (shapeIdsToExport.length > 0) { + // Export only the frame and its contents to PNG + const { blob } = await editor.toImage(shapeIdsToExport, { + format: 'png', + background: true, + padding: 0, + }); + + // Convert blob to base64 + await new Promise((resolve, reject) => { + const reader = new FileReader(); + reader.onloadend = () => { + const base64data = reader.result as string; + // Remove the data:image/png;base64, prefix + canvasImageData = base64data.split(',')[1]; + resolve(null); + }; + reader.onerror = reject; + reader.readAsDataURL(blob); + }); + } } } @@ -163,6 +176,49 @@ export default function Home() { { editorRef.current = editor; + + // Check if a frame already exists (to prevent duplicates in React Strict Mode) + const existingShapes = Array.from(editor.getCurrentPageShapeIds()); + const existingFrame = existingShapes.find((id) => { + const shape = editor.getShape(id); + return ( + shape?.type === 'frame' && + (shape.props as { name?: string })?.name === 'Drawing Area' + ); + }); + + if (existingFrame) { + setFrameId(existingFrame); + editor.zoomToFit(); + return; + } + + // Create a centered frame for drawing + const { width, height } = editor.getViewportPageBounds(); + const frameWidth = Math.min(800, width * 0.6); + const frameHeight = Math.min(600, height * 0.6); + const x = (width - frameWidth) / 2; + const y = (height - frameHeight) / 2; + + const frameShapeId = createShapeId(); + editor.createShapes([ + { + id: frameShapeId, + type: 'frame', + x, + y, + props: { + w: frameWidth, + h: frameHeight, + name: 'Drawing Area', + }, + }, + ]); + + setFrameId(frameShapeId); + + // Zoom to fit the frame + editor.zoomToFit(); }} />
From 81da0a2d830c9f4f37692c953182d68f471eb15a Mon Sep 17 00:00:00 2001 From: SuveenE Date: Sat, 18 Oct 2025 14:02:19 +0800 Subject: [PATCH 5/7] Add prompt --- backend/app/services/image.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/backend/app/services/image.py b/backend/app/services/image.py index 3586f30..2f42c6e 100644 --- a/backend/app/services/image.py +++ b/backend/app/services/image.py @@ -28,6 +28,8 @@ async def generate_image( ImageGenerationResponse containing the generated image data """ log.info(f"Generating image with prompt: {input.prompt}") + + prompt = f"Generate an whiteboard drawingimage based on the following prompt and the reference image: {input.prompt}" # Prepare reference image if provided reference_image = None @@ -43,7 +45,7 @@ async def generate_image( # Call Gemini API with image generation model try: # Build the contents list - prompt is required, reference image is optional - contents = [input.prompt] + contents = [prompt] if reference_image: contents.append(reference_image) From 755cee7ab6ee5e6688b608fb94a3ef6a787a9877 Mon Sep 17 00:00:00 2001 From: SuveenE Date: Sat, 18 Oct 2025 14:03:29 +0800 Subject: [PATCH 6/7] Change back to light theme --- frontend/src/app/page.tsx | 26 ++++++++++++++------------ 1 file changed, 14 insertions(+), 12 deletions(-) diff --git a/frontend/src/app/page.tsx b/frontend/src/app/page.tsx index 05e74f7..7128df6 100644 --- a/frontend/src/app/page.tsx +++ b/frontend/src/app/page.tsx @@ -168,10 +168,12 @@ export default function Home() { }; return ( -
+
{/* Left Side - Drawing Canvas */} -
-
Drawing Canvas
+
+
+ Drawing Canvas +
{ @@ -225,11 +227,11 @@ export default function Home() {
{/* Right Sidebar - Generated Image & Controls */} -
+
{/* Generated Image Display */}
- -
+ +
{generatedImage ? ( ) : ( - No image generated yet + No image generated yet )}
{/* Divider */} -
+
{/* Text Input */}
- + setTranscript(e.target.value)} - className="w-full" + className="w-full bg-white" />
{/* Microphone Control */}
- +