add first version of backend

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -0,0 +1,13 @@
+FROM python:3.11-slim
+
+RUN useradd -m -u 1000 user
+
+WORKDIR /app
+
+COPY . .
+
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+
+COPY --chown=user . /app
+
+CMD ["uvicorn", "server:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1", "--log-level", "info"]

LICENSE

@@ -0,0 +1,201 @@
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README.md

@@ -1,12 +1,71 @@
 ---
-title: Vizzy Server
-emoji: 🏢
-colorFrom: pink
-colorTo: indigo
+title: vizzy-server
+emoji: 🐠
+colorFrom: gray
+colorTo: yellow
 sdk: docker
 pinned: false
 license: apache-2.0
 short_description: Vizzy backend server
+startup_duration_timeout: 2h
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Vizzy Backend - Making Visual Data Inclusive
+
+<img src="vizzy_icon.png" alt="Vizzy Icon" width="150px">
+
+This is the **backend server** that supports the [Vizzy Chrome extension](https://github.com/sebastianschramm/vizzy-chrome-extension.git).  
+It handles graph recoloring, description generation, and audio narration requests.
+
+---
+
+## 🛠 Installation
+
+### 1. Clone the repository
+```bash
+git clone https://github.com/sebastianschramm/vizzy-backend.git
+cd vizzy-backend
+```
+
+### 2. Install dependencies with Poetry
+```bash
+poetry install
+```
+
+### 3. Start the server
+```bash
+uvicorn server:app --host 0.0.0.0 --port 8000 --workers 1 --log-level info
+```
+The server will run on [http://localhost:8000](http://localhost:8000)
+
+---
+
+## 🐳 Docker
+
+You can also run the backend using Docker (it's compatible for huggingface spaces deployment):
+
+### Build the image
+```bash
+docker build -t vizzy-backend .
+```
+
+### Run the container
+```bash
+docker run -p 8000:7860 vizzy-backend
+```
+
+---
+
+## 📖 API Endpoints
+
+- `POST /process` – process an image
+- `POST /processupload` – process an image from an upload form
+- `GET /health` – health check
+
+*(Exact payloads and responses can be found in the `/docs` endpoint when the server is running.)*
+
+---
+
+## 📜 License
+
+Apache 2.0 License – see [LICENSE](LICENSE) for details.

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@@ -0,0 +1,1169 @@
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+lock-version = "2.0"
+python-versions = "^3.11"
+content-hash = "5544bb91be8c3e42d734a4b1132c4378bd791c611d0741406778592d51508e70"

prompts.py

@@ -0,0 +1,21 @@
+# noqa: E501
+
+# System prompt for narration
+NARRATION_SYSTEM_PROMPT = """You are an expert in objectively describing and narrating images for accessibility."""
+NARRATION_PROMPT = """Write a narrative that takes the visually impaired and lazy person through the visual. Explain objectively what is being displayed and how. Behave like a reporter. Do not comment subjectively."""
+
+# Prompt for accessibility improvements
+ACCESSIBILITY_PROMPT = """Make the image accessible to colorblind and visually impaired users.
+Follow these steps:
+1. Look at all the colors globally used in the image.
+1.a Identify any legends or labels that use color to convey information. Make sure that they are adjusted in the same way as the colors they are referencing.
+2. Adjust the colors to be distinguishable for all types of color blindness.
+3. Increase contrast where needed.
+4. Add patterns or textures to differentiate elements if needed.
+5. Ensure all text and labels are legible.
+6. Keep the overall design and layout as close to the original as possible.
+7. Ensure the content and data remain exactly the same as in the original.
+8. Return only the adjusted image.
+
+DO NOT CHANGE THE TEXT OR ANY NUMBERS. DO NOT CHANGE THE ORIGINAL DATA. 
+Make sure all lines and data remain exactly the same as in the original."""

pyproject.toml

@@ -0,0 +1,27 @@
+[tool.poetry]
+name = "vizzy-backend"
+version = "0.1.0"
+description = ""
+authors = ["Sebastian Schramm <schrammsm@gmail.com>"]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.11"
+fastapi = "^0.116.1"
+uvicorn = "^0.35.0"
+pillow = "^11.3.0"
+google-genai = ">=1.32.0"
+elevenlabs = "^2.14.0"
+pydub = "^0.25.1"
+python-multipart = "^0.0.20"
+
+
+[tool.poetry.group.dev.dependencies]
+pre-commit = "^4.3.0"
+flake8 = "^7.3.0"
+isort = "^6.0.1"
+black = "^25.1.0"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

requirements.txt

@@ -0,0 +1,32 @@
+annotated-types==0.7.0 ; python_version >= "3.11" and python_version < "4.0"
+anyio==4.10.0 ; python_version >= "3.11" and python_version < "4.0"
+cachetools==5.5.2 ; python_version >= "3.11" and python_version < "4.0"
+certifi==2025.8.3 ; python_version >= "3.11" and python_version < "4.0"
+charset-normalizer==3.4.3 ; python_version >= "3.11" and python_version < "4.0"
+click==8.2.1 ; python_version >= "3.11" and python_version < "4.0"
+colorama==0.4.6 ; python_version >= "3.11" and python_version < "4.0" and platform_system == "Windows"
+elevenlabs==2.14.0 ; python_version >= "3.11" and python_version < "4.0"
+fastapi==0.116.1 ; python_version >= "3.11" and python_version < "4.0"
+google-auth==2.40.3 ; python_version >= "3.11" and python_version < "4.0"
+google-genai==1.33.0 ; python_version >= "3.11" and python_version < "4.0"
+h11==0.16.0 ; python_version >= "3.11" and python_version < "4.0"
+httpcore==1.0.9 ; python_version >= "3.11" and python_version < "4.0"
+httpx==0.28.1 ; python_version >= "3.11" and python_version < "4.0"
+idna==3.10 ; python_version >= "3.11" and python_version < "4.0"
+pillow==11.3.0 ; python_version >= "3.11" and python_version < "4.0"
+pyasn1-modules==0.4.2 ; python_version >= "3.11" and python_version < "4.0"
+pyasn1==0.6.1 ; python_version >= "3.11" and python_version < "4.0"
+pydantic-core==2.33.2 ; python_version >= "3.11" and python_version < "4.0"
+pydantic==2.11.7 ; python_version >= "3.11" and python_version < "4.0"
+pydub==0.25.1 ; python_version >= "3.11" and python_version < "4.0"
+python-multipart==0.0.20 ; python_version >= "3.11" and python_version < "4.0"
+requests==2.32.5 ; python_version >= "3.11" and python_version < "4.0"
+rsa==4.9.1 ; python_version >= "3.11" and python_version < "4"
+sniffio==1.3.1 ; python_version >= "3.11" and python_version < "4.0"
+starlette==0.47.3 ; python_version >= "3.11" and python_version < "4.0"
+tenacity==9.1.2 ; python_version >= "3.11" and python_version < "4.0"
+typing-extensions==4.15.0 ; python_version >= "3.11" and python_version < "4.0"
+typing-inspection==0.4.1 ; python_version >= "3.11" and python_version < "4.0"
+urllib3==2.5.0 ; python_version >= "3.11" and python_version < "4.0"
+uvicorn==0.35.0 ; python_version >= "3.11" and python_version < "4.0"
+websockets==15.0.1 ; python_version >= "3.11" and python_version < "4.0"

server.py

@@ -0,0 +1,327 @@
+import asyncio
+import base64
+import io
+import logging
+import wave
+from typing import Optional
+
+import requests
+from elevenlabs.client import ElevenLabs
+from fastapi import FastAPI, File, HTTPException, UploadFile
+from fastapi.middleware.cors import CORSMiddleware
+from google import genai
+from google.genai import types
+from PIL import Image
+from pydantic import BaseModel
+from pydub import AudioSegment
+
+from prompts import (ACCESSIBILITY_PROMPT, NARRATION_PROMPT,
+                     NARRATION_SYSTEM_PROMPT)
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+
+app = FastAPI(
+    title="Accessibility Service API",
+    description="API for generating audio narrations and making images accessible",
+    version="1.0.0",
+)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+class ProcessImageRequest(BaseModel):
+    imageUrl: str
+    googleApiKey: str
+    elevenlabsApiKey: Optional[str] = None
+
+
+class ProcessImageUploadRequest(BaseModel):
+    googleApiKey: str
+    elevenlabsApiKey: Optional[str] = None
+
+
+class ProcessImageResponse(BaseModel):
+    accessibleImage: str
+    description: str
+    narrationURL: Optional[str] = None
+
+
+def get_google_client(api_key: str) -> genai.Client:
+    """Create and return a Google Genai client with the provided API key"""
+    try:
+        return genai.Client(api_key=api_key)
+    except Exception as e:
+        raise HTTPException(
+            status_code=400, detail=f"Failed to initialize Google client: {str(e)}"
+        )
+
+
+def get_elevenlabs_client(api_key: str) -> ElevenLabs:
+    """Create and return an ElevenLabs client with the provided API key"""
+    try:
+        return ElevenLabs(api_key=api_key)
+    except Exception as e:
+        raise HTTPException(
+            status_code=400, detail=f"Failed to initialize ElevenLabs client: {str(e)}"
+        )
+
+
+def download_image(url: str) -> Image.Image:
+    """Download image from URL and return PIL Image object"""
+    try:
+        image_bytes = requests.get(url).content
+        image = types.Part.from_bytes(data=image_bytes, mime_type="image/jpeg")
+        return image
+    except Exception as e:
+        raise HTTPException(
+            status_code=400, detail=f"Failed to download image: {str(e)}"
+        )
+
+
+def image_to_base64(image: Image.Image) -> str:
+    """Convert PIL Image to base64 data URL"""
+    buffer = io.BytesIO()
+    image.save(buffer, format="PNG")
+    img_bytes = buffer.getvalue()
+    img_base64 = base64.b64encode(img_bytes).decode()
+    return f"data:image/png;base64,{img_base64}"
+
+
+async def generate_description(image: Image.Image, google_client: genai.Client) -> str:
+    """Generate a text description of the image using a generative AI model."""
+    try:
+        response = google_client.models.generate_content(
+            model="gemini-2.5-flash",
+            contents=[image, NARRATION_PROMPT],
+            config=types.GenerateContentConfig(
+                system_instruction=NARRATION_SYSTEM_PROMPT, temperature=0.1
+            ),
+        )
+        return response.text
+    except Exception as e:
+        raise HTTPException(
+            status_code=500, detail=f"Failed to generate description: {str(e)}"
+        )
+
+
+def audio_to_base64(audio_bytes: bytes, mime: str = "audio/mpeg") -> str:
+    """Convert audio bytes to base64 data URL"""
+    audio_base64 = base64.b64encode(audio_bytes).decode()
+    return f"data:{mime};base64,{audio_base64}"
+
+
+async def generate_narration_audio(text: str, elevenlabs_client) -> str:
+    """Generate audio from ElevenLabs (MP3) and return base64 data URL."""
+    try:
+        audio = elevenlabs_client.text_to_speech.convert(
+            text=text,
+            voice_id="XfNU2rGpBa01ckF309OY",
+            model_id="eleven_multilingual_v2",
+            output_format="mp3_44100_128",
+            apply_text_normalization="on",
+        )
+
+        audio_bytes = b""
+        for chunk in audio:
+            audio_bytes += chunk
+
+        return audio_to_base64(audio_bytes, mime="audio/mpeg")
+
+    except Exception as e:
+        raise HTTPException(
+            status_code=500, detail=f"Failed to generate audio: {str(e)}"
+        )
+
+
+async def generate_narration_audio_gemini(description, google_client) -> str:
+    """Generate audio from Gemini (PCM → WAV → MP3) and return base64 data URL."""
+    try:
+        response = google_client.models.generate_content(
+            model="gemini-2.5-flash-preview-tts",
+            contents=description,
+            config=types.GenerateContentConfig(
+                response_modalities=["AUDIO"],
+                speech_config=types.SpeechConfig(
+                    voice_config=types.VoiceConfig(
+                        prebuilt_voice_config=types.PrebuiltVoiceConfig(
+                            voice_name="Leda",
+                        )
+                    )
+                ),
+            ),
+        )
+
+        audio_data = response.candidates[0].content.parts[0].inline_data.data
+
+        if isinstance(audio_data, str):
+            audio_data = base64.b64decode(audio_data)
+
+        wav_buffer = io.BytesIO()
+        with wave.open(wav_buffer, "wb") as wf:
+            wf.setnchannels(1)  # mono
+            wf.setsampwidth(2)  # 16-bit PCM
+            wf.setframerate(24000)  # 24kHz
+            wf.writeframes(audio_data)
+        wav_buffer.seek(0)
+
+        audio_segment = AudioSegment.from_wav(wav_buffer)
+        mp3_buffer = io.BytesIO()
+        audio_segment.export(mp3_buffer, format="mp3")
+        mp3_bytes = mp3_buffer.getvalue()
+
+        return audio_to_base64(mp3_bytes, mime="audio/mpeg")
+
+    except Exception as e:
+        raise HTTPException(
+            status_code=500, detail=f"Failed to generate audio (Gemini): {str(e)}"
+        )
+
+
+async def generate_accessible_image(
+    original_image: Image.Image, google_client: genai.Client
+) -> str:
+    """
+    Generate an accessible version of the image using AI image generation.
+    """
+    try:
+        response = google_client.models.generate_content(
+            model="gemini-2.5-flash-image-preview",
+            contents=[ACCESSIBILITY_PROMPT, original_image],
+        )
+        first_image = None
+        for part in response.candidates[0].content.parts:
+            if part.inline_data is not None:
+                first_image = Image.open(io.BytesIO(part.inline_data.data))
+
+        if not first_image:
+            raise HTTPException(
+                status_code=500, detail="Failed to generate accessible image"
+            )
+
+        return image_to_base64(first_image)
+    except Exception as e:
+        raise HTTPException(
+            status_code=500, detail=f"Failed to generate accessible image: {str(e)}"
+        )
+
+
+async def _process(
+    google_api_key: str, elevenlabs_api_key: Optional[str], original_image: Image.Image
+) -> ProcessImageResponse:
+    google_client = get_google_client(google_api_key)
+
+    description, accessible_image_base64 = await asyncio.gather(
+        generate_description(original_image, google_client),
+        generate_accessible_image(original_image, google_client),
+    )
+    logger.info(f"Generated image and description")
+
+    # Generate narration only if ElevenLabs API key is provided
+    narration_url = "None"
+    if elevenlabs_api_key:
+        try:
+            elevenlabs_client = get_elevenlabs_client(elevenlabs_api_key)
+            narration_url = await generate_narration_audio(
+                description, elevenlabs_client
+            )
+        except Exception as e:
+            logger.warning(f"Warning: Failed to generate audio narration: {str(e)}")
+    else:
+        narration_url = await generate_narration_audio_gemini(
+            description, google_client
+        )
+
+    logger.info(f"Generated narration audio")
+
+    return ProcessImageResponse(
+        accessibleImage=accessible_image_base64,
+        description=description,
+        narrationURL=narration_url,
+    )
+
+
+@app.post("/process", response_model=ProcessImageResponse)
+async def process_image(request: ProcessImageRequest):
+    """
+    Process an image URL to generate accessible version, description, and narration.
+    Runs all generation tasks in parallel for optimal performance.
+
+    Args:
+        request: JSON payload containing imageUrl, googleApiKey, and optional elevenlabsApiKey
+
+    Returns:
+        JSON response with accessibleImage, description, and optional narrationURL
+    """
+    logger.info(f"Processing image from URL: {request.imageUrl}")
+    try:
+        image = await asyncio.to_thread(download_image, request.imageUrl)
+
+        return await _process(request.googleApiKey, request.elevenlabsApiKey, image)
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Error processing image: {str(e)}")
+
+
+@app.post("/processupload")
+async def process_image_upload(
+    image: UploadFile = File(...),
+    googleApiKey: str = None,
+    elevenlabsApiKey: Optional[str] = None,
+):
+    """
+    Process an uploaded image file to generate accessible version, description, and narration.
+
+    Args:
+        image: Uploaded image file
+        googleApiKey: Google API key (required)
+        elevenlabsApiKey: ElevenLabs API key (optional)
+
+    Returns:
+        JSON response with accessibleImage, description, and optional narrationURL
+    """
+    try:
+        if not googleApiKey:
+            raise HTTPException(status_code=400, detail="googleApiKey is required")
+
+        if not image.content_type.startswith("image/"):
+            raise HTTPException(status_code=400, detail="File must be an image")
+
+        image_data = await image.read()
+
+        try:
+            pil_image = Image.open(io.BytesIO(image_data))
+            pil_image.verify()  # Verify it's a valid image
+        except Exception as e:
+            raise HTTPException(status_code=400, detail=f"Invalid image file: {str(e)}")
+
+        pil_image = Image.open(io.BytesIO(image_data))
+
+        buffer = io.BytesIO()
+        pil_image.save(buffer, format="PNG")
+        buffer.seek(0)
+        original_image = types.Part.from_bytes(
+            data=buffer.getvalue(), mime_type="image/png"
+        )
+
+        return await _process(googleApiKey, elevenlabsApiKey, original_image)
+
+    except HTTPException:
+        # Re-raise HTTP exceptions
+        raise
+    except Exception as e:
+        # Catch any other errors
+        raise HTTPException(status_code=500, detail=f"Error processing image: {str(e)}")
+
+
+@app.get("/health")
+async def health_check():
+    """Health check endpoint"""
+    return {"status": "healthy", "message": "Accessibility Service API is running"}