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Make project production-grade for public release

Browse Source 
- Add adaptive app icon with AI chip + signal wave vector design
- Add Apache 2.0 LICENSE file
- Rewrite README with badges, full API docs, Python examples,
  device compatibility table, dependency licenses, and ToS disclaimer
- Extract all hardcoded layout strings to strings.xml
- Add roundIcon support in AndroidManifest
- Add GitHub community files: issue templates, PR template,
  CONTRIBUTING.md, SECURITY.md

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
alexpolo1
2026-02-28 16:03:30 +01:00
parent f0a171c35d
commit d0059442f8
15 changed files with 593 additions and 93 deletions
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name: Bug Report
description: Report a bug with the Pixel10 AI Server
labels: ["bug"]
body:
- type: markdown
attributes:
value: |
Thanks for taking the time to report a bug.
- type: input
id: device
attributes:
label: Device
description: Which device are you using?
placeholder: "e.g. Pixel 10 Pro"
validations:
required: true
- type: input
id: android-version
attributes:
label: Android Version
placeholder: "e.g. Android 16 (API 36)"
validations:
required: true
- type: dropdown
id: backend
attributes:
label: AI Backend
options:
- Gemini Nano (ML Kit)
- MediaPipe (custom model)
- Not sure
validations:
required: true
- type: textarea
id: description
attributes:
label: What happened?
description: Describe the bug clearly.
validations:
required: true
- type: textarea
id: expected
attributes:
label: Expected behavior
description: What did you expect to happen?
- type: textarea
id: logs
attributes:
label: Logs
description: Paste any relevant logs from the app or logcat.
render: shell

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name: Feature Request
description: Suggest a new feature or improvement
labels: ["enhancement"]
body:
- type: textarea
id: description
attributes:
label: Describe the feature
description: What would you like to see added or changed?
validations:
required: true
- type: textarea
id: use-case
attributes:
label: Use case
description: How would you use this feature?

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## Summary
<!-- What does this PR do? -->
## Changes
-
## Testing
- [ ] Builds successfully (`./gradlew assembleDebug`)
- [ ] Tested on device
- [ ] API endpoints verified with curl
## Notes
<!-- Any additional context or screenshots -->

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CONTRIBUTING.md Normal file
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# Contributing to Pixel10 AI Server
Contributions are welcome! Here's how to get started.
## Development Setup
1. Clone the repo
2. Open in Android Studio (Ladybug or newer) or build from CLI
3. Ensure you have JDK 17+ and Android SDK 35 installed
4. Build: `./gradlew assembleDebug`
## Making Changes
1. Fork the repo and create a branch from `main`
2. Make your changes
3. Test on a physical device (emulators don't have Tensor TPU or AICore)
4. Submit a pull request
## Code Style
- Follow existing Kotlin conventions in the project
- Use coroutines for async work (no callbacks)
- Keep the OpenAI API compatibility — don't break existing endpoints
## Reporting Issues
Use the GitHub issue templates for bug reports and feature requests. Include your device model and Android version.
## License
By contributing, you agree that your contributions will be licensed under the Apache License 2.0.

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you may not use this file except in compliance with the License.
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213
README.md
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@@ -1,142 +1,207 @@
# Pixel10 AI Server
<p align="center">
<img src="https://img.shields.io/badge/Android-12%2B-3DDC84?logo=android&logoColor=white" alt="Android 12+">
<img src="https://img.shields.io/badge/Kotlin-2.1-7F52FF?logo=kotlin&logoColor=white" alt="Kotlin">
<img src="https://img.shields.io/badge/API-OpenAI_Compatible-412991?logo=openai&logoColor=white" alt="OpenAI Compatible">
<img src="https://img.shields.io/github/license/alexpolo1/Pixel10-ai" alt="License">
<img src="https://img.shields.io/github/v/release/alexpolo1/Pixel10-ai" alt="Release">
</p>
Turn your Pixel 10 into a free AI API server. This Android app exposes the Tensor G5's on-device AI chip via a REST API, letting any device on your network make AI inference requests — no cloud, no API keys, no costs.
<h1 align="center">Pixel10 AI Server</h1>
## How It Works
<p align="center">
<strong>Turn your Pixel into a free, private AI API server.</strong><br>
Run Gemini Nano on the Tensor G5 chip and expose it as a local REST API — no cloud, no API keys, no cost.
</p>
The app runs an HTTP server directly on your phone that accepts OpenAI-compatible API requests. Under the hood, it uses Google's on-device AI stack:
---
1. **Gemini Nano** (preferred) — The system-provided model via ML Kit Prompt API, hardware-accelerated on the Tensor G5 TPU with a 32K token context window
2. **MediaPipe LLM** (fallback) — For custom open-weight models like Gemma 3n or Gemma 2B that you supply yourself
## What is this?
An Android app that turns your Pixel phone into a self-hosted AI inference server. It runs an HTTP server directly on the device, accepting **OpenAI-compatible** API requests over your local network.
Under the hood it uses Google's on-device AI stack:
- **Gemini Nano** via ML Kit Prompt API — hardware-accelerated on the Tensor G5 TPU
- **MediaPipe LLM** as fallback — for custom open-weight models like Gemma 3n
All inference runs entirely on-device. Your data never leaves the phone.
## API Endpoints
## Features
| Method | Endpoint | Description |
|--------|----------|-------------|
| `POST` | `/v1/chat/completions` | Chat completion (OpenAI-compatible) |
| `POST` | `/v1/completions` | Text completion |
| `GET` | `/v1/models` | List available models |
| `GET` | `/health` | Server status and device info |
- **OpenAI-compatible API** — drop-in replacement for `openai.ChatCompletion.create()`
- **Streaming support** — real-time Server-Sent Events (SSE) token streaming
- **Zero configuration** — install, tap Start, done
- **Fully offline** — no internet required after install
- **Private by design** — prompts and responses stay on your device
- **Background service** — keeps serving even when the app is minimized
- **Custom model support** — bring your own Gemma, LLaMA, or other compatible models
## Quick Start
### 1. Install and Launch
### 1. Install
Build the APK in Android Studio and install on your Pixel 10 (or Pixel 9/8 series).
Download the APK from [Releases](https://github.com/alexpolo1/Pixel10-ai/releases) and install:
```bash
adb install app-debug.apk
```
Or build from source (see [Building](#building) below).
### 2. Start the Server
Open the app and tap **Start Server**. The app will:
- Load the AI model (Gemini Nano or your custom model)
- Start the HTTP server on the configured port (default: 8080)
- Display the local IP address to connect to
Open **Pixel10 AI Server**, tap **Start Server**. The app will load the model and display your device's IP address.
### 3. Make Requests
### 3. Send Requests
From any device on the same WiFi network:
From any device on the same network:
```bash
# Chat completion
curl http://<phone-ip>:8080/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "What is the Tensor G5 chip?"}
]
"messages": [{"role": "user", "content": "What is the Tensor G5 chip?"}]
}'
# Simple completion
curl http://<phone-ip>:8080/v1/completions \
-H "Content-Type: application/json" \
-d '{"prompt": "Explain quantum computing in simple terms"}'
# Health check
curl http://<phone-ip>:8080/health
# List models
curl http://<phone-ip>:8080/v1/models
```
### Use with Python OpenAI Library
## API Reference
All endpoints follow the [OpenAI API](https://platform.openai.com/docs/api-reference) format.
### Endpoints
| Method | Path | Description |
|--------|------|-------------|
| `POST` | `/v1/chat/completions` | Chat completion (supports streaming) |
| `POST` | `/v1/completions` | Text completion |
| `GET` | `/v1/models` | List available models |
| `GET` | `/health` | Server status, device info, uptime |
### Chat Completion
```bash
curl http://<phone-ip>:8080/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "pixel10-on-device",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Explain quantum computing briefly."}
],
"temperature": 0.7,
"max_tokens": 1024,
"stream": false
}'
```
### Streaming
```bash
curl -N http://<phone-ip>:8080/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "pixel10-on-device",
"messages": [{"role": "user", "content": "Write a haiku about the ocean."}],
"stream": true
}'
```
### Python (OpenAI SDK)
```python
from openai import OpenAI
client = OpenAI(
base_url="http://<phone-ip>:8080/v1",
api_key="not-needed" # no auth required
api_key="not-needed"
)
response = client.chat.completions.create(
model="pixel10-on-device",
messages=[
{"role": "user", "content": "Hello from my laptop!"}
]
messages=[{"role": "user", "content": "Hello from my laptop!"}]
)
print(response.choices[0].message.content)
```
## Using Custom Models (MediaPipe)
## Custom Models (MediaPipe)
If Gemini Nano isn't available on your device, you can use custom models:
If Gemini Nano isn't available on your device, you can use custom open-weight models:
1. Download a compatible model (e.g., [Gemma 3n E2B](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference/android))
1. Download a compatible model (e.g. [Gemma 3n E2B](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference/android))
2. Push to the device:
```bash
adb push gemma-3n-E2B.task /data/data/com.pixel10.ai/files/
```
3. Restart the app — it will auto-detect the model file
3. Restart the app — it auto-detects model files
Supported model formats: `.task`, `.bin`, `.tflite`
**Supported formats:** `.task`, `.bin`, `.tflite`
## Supported Devices
- **Pixel 10 / 10 Pro / 10 Pro XL** — Full Tensor G5 TPU acceleration
- **Pixel 9 series** — Tensor G4 TPU
- **Pixel 8 series** — Tensor G3 TPU
- Other Android 12+ devices — MediaPipe backend with custom models
## Requirements
- Android 12 (API 31) or higher
- WiFi connection (for network access to the API)
- For Gemini Nano: Pixel device with AICore support
- For custom models: Compatible model file placed in app directory
| Device | Chip | Backend |
|--------|------|---------|
| Pixel 10 / Pro / Pro XL | Tensor G5 | Gemini Nano (TPU-accelerated) |
| Pixel 9 series | Tensor G4 | Gemini Nano (TPU-accelerated) |
| Pixel 8 series | Tensor G3 | Gemini Nano (TPU-accelerated) |
| Other Android 12+ | Various | MediaPipe with custom models |
## Building
```bash
# Clone the repo
git clone <repo-url>
git clone https://github.com/alexpolo1/Pixel10-ai.git
cd Pixel10-ai
# Open in Android Studio and build, or:
./gradlew assembleDebug
# Install on connected device
adb install app/build/outputs/apk/debug/app-debug.apk
```
**Requirements:** JDK 17+, Android SDK 35
## Architecture
```
com.pixel10.ai/
├── Pixel10AIApp.kt # Application init
├── inference/
│ ├── OnDeviceModel.kt # Unified model interface
│ ├── GeminiNanoModel.kt # Gemini Nano via ML Kit Prompt API
│ └── MediaPipeModel.kt # Custom models via MediaPipe LLM
│ ├── OnDeviceModel.kt # Unified inference interface
│ ├── GeminiNanoModel.kt # ML Kit Prompt API backend
│ └── MediaPipeModel.kt # MediaPipe LLM backend
├── server/
│ ├── AIApiServer.kt # NanoHTTPD-based REST API server
│ ├── ApiModels.kt # Request/response data classes
│ └── ApiServerService.kt # Foreground service for background operation
├── ui/
│ └── MainActivity.kt # Server controls and status dashboard
└── Pixel10AIApp.kt # Application class
│ ├── AIApiServer.kt # NanoHTTPD REST server
│ ├── ApiModels.kt # Request/response models
│ └── ApiServerService.kt # Foreground service
└── ui/
└── MainActivity.kt # Server controls & dashboard
```
## Disclaimer
> This project is provided for **educational and experimental purposes only**.
>
> The Gemini Nano model is accessed through the ML Kit GenAI API, which is subject to [Google's ML Kit Terms of Service](https://developers.google.com/ml-kit/terms) and the [GenAI API Additional Terms](https://developers.google.com/ml-kit/genai-terms). Exposing on-device models as a network API may not be a documented use case under those terms. Users are responsible for reviewing and complying with all applicable terms of service.
>
> This project is not affiliated with, endorsed by, or sponsored by Google.
## Dependencies
| Library | License |
|---------|---------|
| [ML Kit GenAI](https://developers.google.com/ml-kit) | Google ToS |
| [MediaPipe](https://github.com/google-ai-edge/mediapipe) | Apache 2.0 |
| [NanoHTTPD](https://github.com/NanoHttpd/nanohttpd) | BSD 3-Clause |
| [Gson](https://github.com/google/gson) | Apache 2.0 |
| [AndroidX](https://developer.android.com/jetpack/androidx) | Apache 2.0 |
| [Kotlin Coroutines](https://github.com/Kotlin/kotlinx.coroutines) | Apache 2.0 |
## License
MIT
```
Copyright 2025 alexpolo1
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
```
See [LICENSE](LICENSE) for the full text.

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# Security
## Important
This app runs an **unauthenticated HTTP server** on your local network. By design, anyone on the same network can send requests to the API. Do not expose this server to the public internet.
## Reporting Vulnerabilities
If you discover a security issue, please open a GitHub issue or contact the maintainer directly. Since this is a local-network tool, most security concerns relate to network exposure rather than data handling.
## Scope
- The server binds to all network interfaces on the configured port
- No authentication or API keys are required
- All inference is local — no data is sent to external servers
- CORS is permissive (`*`) for local development convenience

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android:name=".Pixel10AIApp"
android:allowBackup="true"
android:icon="@mipmap/ic_launcher"
android:roundIcon="@mipmap/ic_launcher_round"
android:label="@string/app_name"
android:supportsRtl="true"
android:networkSecurityConfig="@xml/network_security_config"

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<?xml version="1.0" encoding="utf-8"?>
<vector xmlns:android="http://schemas.android.com/apk/res/android"
android:width="108dp"
android:height="108dp"
android:viewportWidth="108"
android:viewportHeight="108">
<!-- Gradient-style background: deep blue -->
<path
android:fillColor="#0D47A1"
android:pathData="M0,0h108v108H0z" />
<!-- Subtle grid pattern for tech feel -->
<path
android:strokeColor="#1565C0"
android:strokeWidth="0.3"
android:fillColor="#00000000"
android:pathData="M0,18h108M0,36h108M0,54h108M0,72h108M0,90h108M18,0v108M36,0v108M54,0v108M72,0v108M90,0v108" />
</vector>

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<?xml version="1.0" encoding="utf-8"?>
<vector xmlns:android="http://schemas.android.com/apk/res/android"
android:width="108dp"
android:height="108dp"
android:viewportWidth="108"
android:viewportHeight="108">
<!-- AI chip body — rounded square centered in safe zone -->
<path
android:fillColor="#FFFFFF"
android:pathData="M38,38h32c2.2,0 4,1.8 4,4v24c0,2.2 -1.8,4 -4,4H38c-2.2,0 -4,-1.8 -4,-4V42c0,-2.2 1.8,-4 4,-4z" />
<!-- Chip pins — top -->
<path
android:fillColor="#FFFFFF"
android:strokeColor="#FFFFFF"
android:strokeWidth="2"
android:pathData="M44,34v4M50,34v4M56,34v4M62,34v4" />
<!-- Chip pins — bottom -->
<path
android:fillColor="#FFFFFF"
android:strokeColor="#FFFFFF"
android:strokeWidth="2"
android:pathData="M44,70v4M50,70v4M56,70v4M62,70v4" />
<!-- Chip pins — left -->
<path
android:fillColor="#FFFFFF"
android:strokeColor="#FFFFFF"
android:strokeWidth="2"
android:pathData="M30,44h4M30,50h4M30,56h4M30,62h4" />
<!-- Chip pins — right -->
<path
android:fillColor="#FFFFFF"
android:strokeColor="#FFFFFF"
android:strokeWidth="2"
android:pathData="M74,44h4M74,50h4M74,56h4M74,62h4" />
<!-- Inner circuit — brain/AI pattern -->
<path
android:fillColor="#1A73E8"
android:pathData="M46,46h16c1.1,0 2,0.9 2,2v12c0,1.1 -0.9,2 -2,2H46c-1.1,0 -2,-0.9 -2,-2V48c0,-1.1 0.9,-2 2,-2z" />
<!-- Neural network nodes -->
<path
android:fillColor="#FFFFFF"
android:pathData="M50,52a1.5,1.5 0,1 1,0 -0.01zM58,52a1.5,1.5 0,1 1,0 -0.01zM54,56a1.5,1.5 0,1 1,0 -0.01z" />
<!-- Neural connections -->
<path
android:strokeColor="#FFFFFF"
android:strokeWidth="0.8"
android:fillColor="#00000000"
android:pathData="M50,52L54,56M58,52L54,56M50,52L58,52" />
<!-- Signal waves — right side of chip (API/broadcast) -->
<path
android:strokeColor="#FFFFFF"
android:strokeWidth="1.5"
android:fillColor="#00000000"
android:strokeLineCap="round"
android:pathData="M80,50a6,6 0,0 1,0 8" />
<path
android:strokeColor="#FFFFFF"
android:strokeWidth="1.5"
android:fillColor="#00000000"
android:strokeLineCap="round"
android:pathData="M84,47a10,10 0,0 1,0 14" />
</vector>

14
app/src/main/res/layout/activity_main.xml
View File

@@ -12,7 +12,7 @@
android:id="@+id/tvTitle"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:text="Pixel10 AI Server"
android:text="@string/app_title"
android:textColor="@color/on_surface"
android:textSize="28sp"
android:textStyle="bold"
@@ -24,7 +24,7 @@
android:id="@+id/tvSubtitle"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:text="On-device AI inference API"
android:text="@string/app_subtitle"
android:textColor="@color/log_text"
android:textSize="14sp"
android:layout_marginTop="4dp"
@@ -78,7 +78,7 @@
android:id="@+id/tvServerUrl"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:text="http://—"
android:text="@string/server_url_placeholder"
android:textColor="@color/log_text"
android:textSize="14sp"
android:fontFamily="monospace"
@@ -89,7 +89,7 @@
android:id="@+id/tvModelStatus"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:text="Model: not loaded"
android:text="@string/model_not_loaded"
android:textColor="@color/log_text"
android:textSize="13sp"
android:layout_marginTop="4dp" />
@@ -120,7 +120,7 @@
<TextView
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:text="Port:"
android:text="@string/port_label"
android:textColor="@color/on_surface"
android:textSize="16sp" />
@@ -129,7 +129,7 @@
android:layout_width="100dp"
android:layout_height="48dp"
android:layout_marginStart="12dp"
android:text="8080"
android:text="@string/port_default"
android:inputType="number"
android:textColor="@color/on_surface"
android:backgroundTint="@color/primary"
@@ -156,7 +156,7 @@
android:id="@+id/tvLogLabel"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:text="Request Log"
android:text="@string/request_log_label"
android:textColor="@color/on_surface"
android:textSize="14sp"
android:textStyle="bold"

6
app/src/main/res/mipmap-anydpi-v26/ic_launcher.xml Normal file
View File

@@ -0,0 +1,6 @@
<?xml version="1.0" encoding="utf-8"?>
<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
<background android:drawable="@drawable/ic_launcher_background" />
<foreground android:drawable="@drawable/ic_launcher_foreground" />
<monochrome android:drawable="@drawable/ic_launcher_foreground" />
</adaptive-icon>

6
app/src/main/res/mipmap-anydpi-v26/ic_launcher_round.xml Normal file
View File

@@ -0,0 +1,6 @@
<?xml version="1.0" encoding="utf-8"?>
<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
<background android:drawable="@drawable/ic_launcher_background" />
<foreground android:drawable="@drawable/ic_launcher_foreground" />
<monochrome android:drawable="@drawable/ic_launcher_foreground" />
</adaptive-icon>

5
app/src/main/res/mipmap-hdpi/ic_launcher.xml
View File

@@ -1,5 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
<background android:drawable="@color/primary" />
<foreground android:drawable="@color/on_primary" />
</adaptive-icon>

30
app/src/main/res/values/strings.xml
View File

@@ -1,17 +1,33 @@
<?xml version="1.0" encoding="utf-8"?>
<resources>
<string name="app_name">Pixel10 AI Server</string>
<string name="app_name">Pixel10 AI</string>
<string name="app_title">Pixel10 AI Server</string>
<string name="app_subtitle">On-device AI inference API</string>
<!-- Server status -->
<string name="server_status_stopped">Server Stopped</string>
<string name="server_status_starting">Starting Server…</string>
<string name="server_status_starting">Starting Server\u2026</string>
<string name="server_status_running">Server Running</string>
<string name="server_status_error">Server Error</string>
<string name="btn_start">Start Server</string>
<string name="btn_stop">Stop Server</string>
<string name="model_loading">Loading AI model…</string>
<string name="server_url_placeholder">http://\u2014</string>
<!-- Model status -->
<string name="model_loading">Loading AI model\u2026</string>
<string name="model_ready">AI model ready</string>
<string name="model_error">AI model failed to load</string>
<string name="model_not_loaded">Model: not loaded</string>
<!-- Controls -->
<string name="btn_start">Start Server</string>
<string name="btn_stop">Stop Server</string>
<string name="port_label">Port:</string>
<string name="port_default">8080</string>
<string name="requests_served">Requests served: %d</string>
<string name="request_log_label">Request Log</string>
<!-- Notification -->
<string name="notification_channel_name">AI Server</string>
<string name="notification_channel_desc">Pixel10 AI API Server status</string>
<string name="notification_channel_desc">Shows when the AI inference server is running</string>
<string name="notification_title">Pixel10 AI Server</string>
<string name="notification_text">Serving AI inference on port %d</string>
<string name="notification_text">Serving on port %d \u2022 Tap to open</string>
</resources>