Initial commit of Hearbit AI App

This commit is contained in:
michael.borak
2026-01-19 17:27:30 +01:00
commit a4e82acdfa
60 changed files with 12443 additions and 0 deletions

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# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
pnpm-debug.log*
lerna-debug.log*
node_modules
dist
dist-ssr
*.local
# Editor directories and files
.vscode/*
!.vscode/extensions.json
.idea
.DS_Store
*.suo
*.ntvs*
*.njsproj
*.sln
*.sw?

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{
"recommendations": ["tauri-apps.tauri-vscode", "rust-lang.rust-analyzer"]
}

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# Hearbit AI 🦉🎙️
Hearbit AI is a powerful macOS desktop application designed to record system and microphone audio, transcribe it using Infomaniak's Whisper API, and generate intelligent AI summaries.
## Features
* **Dual-Channel Recording**: Capture both your microphone (e.g., for voice notes) and system audio (e.g., for meetings) simultaneously.
* **Powered by Infomaniak AI**:
* **Transcription**: High-accuracy speech-to-text using Infomaniak's Whisper integration.
* **Summarization**: Generate concise summaries, action items, or meeting notes using models like Mixtral or Llama 3 via Infomaniak's LLM API.
* **Auto-Save**: Recordings and summaries are automatically saved to a persistent history.
* **Customizable Prompts**: Define your own AI templates (e.g., "Summarize", "Extract Action Items", "Translate").
* **Privacy-Focused**: Processed securily via your own Infomaniak API keys.
## prerequisites
* **macOS** (Apple Silicon or Intel)
* **Infomaniak AI Account**: You need an API Key and Product ID from [Infomaniak's Developer Portal](https://manager.infomaniak.com/).
## Installation
1. Download the latest release (`.dmg` or `.app`).
2. Drag **Hearbit AI** to your `Applications` folder.
3. (Optional) To record system audio, install the [BlackHole 2ch Driver](https://existential.audio/blackhole/).
## Usage
1. **Configure**:
* Click the **Settings** (gear icon) in the top right.
* Enter your **Infomaniak API Key** and **Product ID**.
* (Optional) Customize your AI prompts.
2. **Record**:
* Select your **Input Device** (e.g., "MacBook Pro Microphone" or an aggregate device for system audio).
* Select an **LLM Model** (e.g., Mixtral).
* Click **Start Recording**.
3. **Process**:
* Click **Stop Recording**.
* The app will automatically upload, transcribe, and summarize your audio.
4. **History**:
* Click **Records** to view past recordings.
## Development
This app is built with **Tauri**, **React**, and **TypeScript**.
### Setup
```bash
npm install
```
### Run Locally
```bash
npm run dev
# OR
npm run tauri dev
```
### Build for Production
```bash
npm run tauri build
```
## Icons
The app uses a custom generated icon set located in `src-tauri/icons`.
## License
[License Name]

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const Jimp = require('jimp');
async function fix(path) {
try {
console.log(`Processing ${path}...`);
const image = await Jimp.read(path);
const w = image.bitmap.width;
const h = image.bitmap.height;
// Create new transparent image (int color)
// 0x00000000 is transparent black
const newImage = new Jimp(w, h, 0x00000000);
newImage.composite(image, 0, 0);
await newImage.writeAsync(path);
console.log(`Fixed ${path}`);
} catch (e) {
console.error(`Error processing ${path}:`, e);
}
}
async function main() {
await fix('src-tauri/icons/icon.png');
await fix('src-tauri/icons/128x128.png');
await fix('src-tauri/icons/32x32.png');
await fix('src-tauri/icons/128x128@2x.png');
}
main();

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import os
from PIL import Image
def generate_icons():
source_path = "src/assets/app_icon.png"
iconset_dir = "src-tauri/icons.iconset"
icons_dir = "src-tauri/icons"
if not os.path.exists(iconset_dir):
os.makedirs(iconset_dir)
if not os.path.exists(icons_dir):
os.makedirs(icons_dir)
img = Image.open(source_path).convert("RGBA")
# (Name, Size)
iconset_sizes = [
("icon_16x16.png", 16),
("icon_16x16@2x.png", 32),
("icon_32x32.png", 32),
("icon_32x32@2x.png", 64),
("icon_128x128.png", 128),
("icon_128x128@2x.png", 256),
("icon_256x256.png", 256),
("icon_256x256@2x.png", 512),
("icon_512x512.png", 512),
("icon_512x512@2x.png", 1024)
]
for name, size in iconset_sizes:
resized = img.resize((size, size), Image.Resampling.LANCZOS)
resized.save(os.path.join(iconset_dir, name))
print(f"Generated {name}")
# Explicit Tauri icons
tauri_icons = [
("32x32.png", 32),
("128x128.png", 128),
("128x128@2x.png", 256),
("icon.png", 512)
]
for name, size in tauri_icons:
resized = img.resize((size, size), Image.Resampling.LANCZOS)
resized.save(os.path.join(icons_dir, name))
print(f"Generated {name}")
if __name__ == "__main__":
generate_icons()

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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<link rel="icon" type="image/svg+xml" href="/vite.svg" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Tauri + React + Typescript</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.tsx"></script>
</body>
</html>

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{
"name": "hearbit-ai",
"private": true,
"version": "0.1.0",
"type": "module",
"scripts": {
"dev": "vite",
"build": "tsc && vite build",
"preview": "vite preview",
"tauri": "tauri"
},
"dependencies": {
"@tailwindcss/postcss": "^4.1.18",
"@tauri-apps/api": "^2",
"@tauri-apps/plugin-opener": "^2",
"jimp": "^1.6.0",
"lucide-react": "^0.562.0",
"react": "^19.1.0",
"react-dom": "^19.1.0",
"react-markdown": "^10.1.0"
},
"devDependencies": {
"@tailwindcss/typography": "^0.5.19",
"@tauri-apps/cli": "^2",
"@types/react": "^19.1.8",
"@types/react-dom": "^19.1.6",
"@vitejs/plugin-react": "^4.6.0",
"autoprefixer": "^10.4.23",
"postcss": "^8.5.6",
"tailwindcss": "^4.1.18",
"typescript": "~5.8.3",
"vite": "^7.0.4"
}
}

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export default {
plugins: {
'@tailwindcss/postcss': {},
autoprefixer: {},
},
}

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# Generated by Cargo
# will have compiled files and executables
/target/
# Generated by Tauri
# will have schema files for capabilities auto-completion
/gen/schemas

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[package]
name = "infomaniak-recorder"
version = "0.1.0"
description = "A Tauri App"
authors = ["you"]
edition = "2021"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[lib]
# The `_lib` suffix may seem redundant but it is necessary
# to make the lib name unique and wouldn't conflict with the bin name.
# This seems to be only an issue on Windows, see https://github.com/rust-lang/cargo/issues/8519
name = "desktop_client_lib"
crate-type = ["staticlib", "cdylib", "rlib"]
[build-dependencies]
tauri-build = { version = "2", features = [] }
[dependencies]
tauri = { version = "2", features = [] }
tauri-plugin-opener = "2"
serde = { version = "1", features = ["derive"] }
serde_json = "1"
cpal = "0.17.1"
hound = "3.5.1"
reqwest = { version = "0.13.1", features = ["json", "multipart"] }
tokio = { version = "1.40.0", features = ["full"] }

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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>NSMicrophoneUsageDescription</key>
<string>This app requires microphone access to record meetings and specific audio inputs like BlackHole.</string>
</dict>
</plist>

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fn main() {
tauri_build::build()
}

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{
"$schema": "../gen/schemas/desktop-schema.json",
"identifier": "default",
"description": "Capability for the main window",
"windows": ["main"],
"permissions": [
"core:default",
"opener:default"
]
}

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use tauri::State;
use std::sync::{Arc, Mutex};
use std::process::Command;
use cpal::traits::{DeviceTrait, HostTrait, StreamTrait};
use std::time::Duration;
use tokio::time::sleep;
// State to hold the active recording stream
struct AppState {
recording_stream: Mutex<Option<cpal::Stream>>,
recording_file_path: Mutex<Option<String>>,
}
#[derive(serde::Serialize)]
struct AudioDevice {
id: String,
name: String,
}
#[tauri::command]
fn greet(name: &str) -> String {
format!("Hello, {}! You've been greeted from Rust!", name)
}
#[tauri::command]
fn get_input_devices() -> Result<Vec<AudioDevice>, String> {
let host = cpal::default_host();
let devices = host.input_devices().map_err(|e| e.to_string())?;
let mut result = Vec::new();
for device in devices {
#[allow(deprecated)]
if let Ok(name) = device.name() {
// macOS often produces weird names, but let's just use what we get
result.push(AudioDevice {
id: name.clone(), // Using name as ID for simplicity in this MVP
name,
});
}
}
Ok(result)
}
#[tauri::command]
fn install_driver() -> Result<String, String> {
let output = Command::new("brew")
.args(["install", "blackhole-2ch"])
.output()
.map_err(|e| format!("Failed to execute command: {}", e))?;
if output.status.success() {
Ok(String::from_utf8_lossy(&output.stdout).to_string())
} else {
Err(String::from_utf8_lossy(&output.stderr).to_string())
}
}
#[tauri::command]
fn start_recording(state: State<'_, AppState>, device_id: String) -> Result<(), String> {
let host = cpal::default_host();
// Find device by name (using name as ID)
#[allow(deprecated)]
let device = host.input_devices()
.map_err(|e| e.to_string())?
.find(|d| d.name().map(|n| n == device_id).unwrap_or(false))
.or_else(|| host.default_input_device())
.ok_or("No input device found")?;
let config = device.default_input_config().map_err(|e| e.to_string())?;
let spec = hound::WavSpec {
channels: config.channels(),
sample_rate: config.sample_rate(),
bits_per_sample: 16,
sample_format: hound::SampleFormat::Int,
};
// Create a temporary file
let temp_dir = std::env::temp_dir();
let file_path = temp_dir.join(format!("recording_{}.wav", std::time::SystemTime::now().duration_since(std::time::UNIX_EPOCH).unwrap().as_secs()));
let file_path_str = file_path.to_string_lossy().to_string();
let writer = hound::WavWriter::create(&file_path, spec).map_err(|e| e.to_string())?;
let writer = Arc::new(Mutex::new(writer));
let writer_clone = writer.clone();
let err_fn = |err| eprintln!("an error occurred on stream: {}", err);
let stream = match config.sample_format() {
cpal::SampleFormat::F32 => device.build_input_stream(
&config.into(),
move |data: &[f32], _: &_| {
let mut guard = writer_clone.lock().unwrap();
for &sample in data {
let amplitude = i16::MAX as f32;
guard.write_sample((sample * amplitude) as i16).ok();
}
},
err_fn,
None
),
cpal::SampleFormat::I16 => device.build_input_stream(
&config.into(),
move |data: &[i16], _: &_| {
let mut guard = writer_clone.lock().unwrap();
for &sample in data {
guard.write_sample(sample).ok();
}
},
err_fn,
None
),
cpal::SampleFormat::U16 => device.build_input_stream(
&config.into(),
move |data: &[u16], _: &_| {
let mut guard = writer_clone.lock().unwrap();
for &sample in data {
guard.write_sample((sample as i32 - 32768) as i16).ok();
}
},
err_fn,
None
),
_ => return Err("Unsupported sample format".to_string()),
}.map_err(|e| e.to_string())?;
stream.play().map_err(|e| e.to_string())?;
// Store state
*state.recording_stream.lock().unwrap() = Some(stream);
*state.recording_file_path.lock().unwrap() = Some(file_path_str);
Ok(())
}
#[tauri::command]
fn stop_recording(state: State<'_, AppState>) -> Result<String, String> {
// Drop stream to stop recording
{
let mut stream_guard = state.recording_stream.lock().unwrap();
if stream_guard.is_none() {
return Err("Not recording".to_string());
}
*stream_guard = None; // This drops the stream and stops recording
}
// Return file path
let mut path_guard = state.recording_file_path.lock().unwrap();
path_guard.take().ok_or("No recording path found".to_string())
}
#[derive(serde::Deserialize)]
struct ModelListResponse {
data: Vec<ModelData>,
}
#[derive(serde::Deserialize)]
struct ModelData {
id: String,
owned_by: Option<String>,
}
// Structs for Infomaniak API responses
#[derive(serde::Deserialize)]
struct WhisperResponse {
text: Option<String>,
batch_id: Option<String>,
}
#[derive(serde::Deserialize)]
struct ChatCompletionResponse {
choices: Vec<Choice>,
}
#[derive(serde::Deserialize)]
struct Choice {
message: Message,
}
#[derive(serde::Deserialize)]
struct Message {
content: String,
}
#[derive(serde::Serialize)]
struct ModelInfo {
id: String,
name: String,
}
#[tauri::command]
async fn get_available_models(api_key: String, product_id: String) -> Result<Vec<ModelInfo>, String> {
let client = reqwest::Client::new();
// Use the v2/openai compliant endpoint as per docs
let url = format!("https://api.infomaniak.com/2/ai/{}/openai/v1/models", product_id);
let res = client.get(&url)
.header("Authorization", format!("Bearer {}", api_key))
.send()
.await
.map_err(|e| e.to_string())?;
if res.status().is_success() {
let raw_body = res.text().await.map_err(|e| e.to_string())?;
println!("Models Raw Response: {}", raw_body);
let list: ModelListResponse = serde_json::from_str(&raw_body)
.map_err(|e| format!("Failed to parse models: {}. Body: {}", e, raw_body))?;
let models = list.data.into_iter()
.filter(|m| !m.id.to_lowercase().contains("mini_lm") && !m.id.to_lowercase().contains("bert") && !m.id.to_lowercase().contains("embedding"))
.map(|m| ModelInfo {
id: m.id.clone(),
name: m.id, // Use ID as name for now, or fetch more details if available
}).collect();
Ok(models)
} else {
// Fallback to v1 if v2 fails or try another common path?
// For now just error out
let err = res.text().await.unwrap_or_default();
Err(format!("Failed to fetch models: {}", err))
}
}
#[tauri::command]
async fn transcribe_audio(file_path: String, api_key: String, product_id: String) -> Result<String, String> {
let client = reqwest::Client::new();
// Prepare file part
let file_bytes = std::fs::read(&file_path).map_err(|e| e.to_string())?;
// We must use a known file name for the part, Infomaniak might care, or not.
let file_part = reqwest::multipart::Part::bytes(file_bytes)
.file_name("recording.wav")
.mime_str("audio/wav")
.map_err(|e| e.to_string())?;
let form = reqwest::multipart::Form::new()
.part("file", file_part)
.text("model", "whisper");
let url = format!("https://api.infomaniak.com/1/ai/{}/openai/audio/transcriptions", product_id);
let res = client.post(&url)
.header("Authorization", format!("Bearer {}", api_key))
.multipart(form)
.send()
.await
.map_err(|e| e.to_string())?;
if res.status().is_success() {
let raw_body = res.text().await.map_err(|e| e.to_string())?;
println!("Transcription Raw Response: {}", raw_body);
// Attempt to parse text or batch_id
// Attempt to parse text or batch_id
let response: WhisperResponse = serde_json::from_str(&raw_body)
.map_err(|e| format!("Failed to decode JSON: {}. Body: {}", e, raw_body))?;
match (response.text, response.batch_id) {
(Some(text), _) => Ok(text),
(_, Some(batch_id)) => {
// Need to poll
poll_transcription(&client, &api_key, &product_id, &batch_id).await
},
_ => Err(format!("Response contained neither text nor batch_id. Body: {}", raw_body))
}
} else {
let error_text = res.text().await.unwrap_or_default();
Err(format!("Transcription failed: {}", error_text))
}
}
async fn poll_transcription(client: &reqwest::Client, api_key: &str, product_id: &str, batch_id: &str) -> Result<String, String> {
// Polling URL: /1/ai/{product_id}/results/{batch_id} (or similar, verifying via trial)
// If that fails, we can try /openai/audio/transcriptions/{batch_id} but documentation suggests results endpoint.
// Let's assume the standard Infomaniak pattern for batches.
let status_url = format!("https://api.infomaniak.com/1/ai/{}/results/{}", product_id, batch_id);
let mut attempts = 0;
while attempts < 40 { // 40 * 2s = 80s timeout
attempts += 1;
sleep(Duration::from_secs(2)).await;
let res = client.get(&status_url)
.header("Authorization", format!("Bearer {}", api_key))
.send()
.await
.map_err(|e| format!("Polling error: {}", e))?;
if res.status().is_success() {
let json: serde_json::Value = res.json().await.map_err(|e| e.to_string())?;
// Check 'status'
if let Some(status) = json.get("status").and_then(|s| s.as_str()) {
if status == "success" {
// Download the result
let download_url = format!("https://api.infomaniak.com/1/ai/{}/results/{}/download", product_id, batch_id);
let dl_res = client.get(&download_url)
.header("Authorization", format!("Bearer {}", api_key))
.send()
.await
.map_err(|e| e.to_string())?;
if dl_res.status().is_success() {
let content = dl_res.text().await.map_err(|e| e.to_string())?;
// Try to parse the content as JSON to see if it's { "text": "..." }
if let Ok(json_val) = serde_json::from_str::<serde_json::Value>(&content) {
if let Some(text_content) = json_val.get("text").and_then(|t| t.as_str()) {
return Ok(text_content.to_string());
}
}
// If not JSON or no text field, return raw content
return Ok(content);
} else {
return Err(format!("Download failed: {}", dl_res.status()));
}
} else if status == "failed" || status == "error" {
return Err(format!("Batch processing failed: {:?}", json));
}
// If 'processing' or 'pending', continue loop
}
}
}
Err("Transcription timed out".to_string())
}
#[tauri::command]
async fn summarize_text(text: String, api_key: String, product_id: String, prompt: String, model: String) -> Result<String, String> {
let client = reqwest::Client::new();
let url = format!("https://api.infomaniak.com/2/ai/{}/openai/v1/chat/completions", product_id);
let messages = serde_json::json!([
{ "role": "system", "content": prompt },
{ "role": "user", "content": text }
]);
let model_to_use = if model.is_empty() { "mixtral".to_string() } else { model };
let body = serde_json::json!({
"model": model_to_use,
"messages": messages
});
let res = client.post(&url)
.header("Authorization", format!("Bearer {}", api_key))
.header("Content-Type", "application/json")
.json(&body)
.send()
.await
.map_err(|e| e.to_string())?;
if res.status().is_success() {
let raw_body = res.text().await.map_err(|e| e.to_string())?;
println!("Summarization Raw Response: {}", raw_body);
let response_body: ChatCompletionResponse = serde_json::from_str(&raw_body)
.map_err(|e| format!("Failed to decode JSON: {}. Body: {}", e, raw_body))?;
if let Some(choice) = response_body.choices.first() {
Ok(choice.message.content.clone())
} else {
Err("No summary generated".to_string())
}
} else {
let error_text = res.text().await.unwrap_or_default();
Err(format!("Summarization failed: {}", error_text))
}
}
#[cfg_attr(mobile, tauri::mobile_entry_point)]
pub fn run() {
tauri::Builder::default()
.plugin(tauri_plugin_opener::init())
.manage(AppState {
recording_stream: Mutex::new(None),
recording_file_path: Mutex::new(None),
})
.invoke_handler(tauri::generate_handler![
greet,
get_input_devices,
install_driver,
start_recording,
stop_recording,
transcribe_audio,
summarize_text,
get_available_models
])
.run(tauri::generate_context!())
.expect("error while running tauri application");
}

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// Prevents additional console window on Windows in release, DO NOT REMOVE!!
#![cfg_attr(not(debug_assertions), windows_subsystem = "windows")]
fn main() {
desktop_client_lib::run()
}

35
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{
"$schema": "https://schema.tauri.app/config/2",
"productName": "Hearbit AI",
"version": "0.1.0",
"identifier": "com.hearbit-ai.app",
"build": {
"beforeDevCommand": "npm run dev",
"devUrl": "http://localhost:1420",
"beforeBuildCommand": "npm run build",
"frontendDist": "../dist"
},
"app": {
"windows": [
{
"title": "Hearbit AI",
"width": 800,
"height": 600
}
],
"security": {
"csp": null
}
},
"bundle": {
"active": true,
"targets": "all",
"icon": [
"icons/32x32.png",
"icons/128x128.png",
"icons/128x128@2x.png",
"icons/icon.icns",
"icons/icon.ico"
]
}
}

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.logo.vite:hover {
filter: drop-shadow(0 0 2em #747bff);
}
.logo.react:hover {
filter: drop-shadow(0 0 2em #61dafb);
}
:root {
font-family: Inter, Avenir, Helvetica, Arial, sans-serif;
font-size: 16px;
line-height: 24px;
font-weight: 400;
color: #0f0f0f;
background-color: #f6f6f6;
font-synthesis: none;
text-rendering: optimizeLegibility;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
-webkit-text-size-adjust: 100%;
}
.container {
margin: 0;
padding-top: 10vh;
display: flex;
flex-direction: column;
justify-content: center;
text-align: center;
}
.logo {
height: 6em;
padding: 1.5em;
will-change: filter;
transition: 0.75s;
}
.logo.tauri:hover {
filter: drop-shadow(0 0 2em #24c8db);
}
.row {
display: flex;
justify-content: center;
}
a {
font-weight: 500;
color: #646cff;
text-decoration: inherit;
}
a:hover {
color: #535bf2;
}
h1 {
text-align: center;
}
input,
button {
border-radius: 8px;
border: 1px solid transparent;
padding: 0.6em 1.2em;
font-size: 1em;
font-weight: 500;
font-family: inherit;
color: #0f0f0f;
background-color: #ffffff;
transition: border-color 0.25s;
box-shadow: 0 2px 2px rgba(0, 0, 0, 0.2);
}
button {
cursor: pointer;
}
button:hover {
border-color: #396cd8;
}
button:active {
border-color: #396cd8;
background-color: #e8e8e8;
}
input,
button {
outline: none;
}
#greet-input {
margin-right: 5px;
}
@media (prefers-color-scheme: dark) {
:root {
color: #f6f6f6;
background-color: #2f2f2f;
}
a:hover {
color: #24c8db;
}
input,
button {
color: #ffffff;
background-color: #0f0f0f98;
}
button:active {
background-color: #0f0f0f69;
}
}

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import { useState } from "react";
import Settings from "./components/Settings";
import Recorder from "./components/Recorder";
interface PromptTemplate {
id: string;
name: string;
content: string;
}
function App() {
const [view, setView] = useState<'recorder' | 'settings'>('recorder');
const [apiKey, setApiKey] = useState(localStorage.getItem('infomaniak_api_key') || '');
const [productId, setProductId] = useState(localStorage.getItem('infomaniak_product_id') || '');
// Default prompts if none exist
const defaultPrompts: PromptTemplate[] = [
{ id: '1', name: 'General Summary', content: 'Summarize the following text into clear bullet points.' },
{ id: '2', name: 'Action Items', content: 'Extract all action items and tasks from this text.' },
{ id: '3', name: 'Email Draft', content: 'Draft a follow-up email based on this conversation.' }
];
const [prompts, setPrompts] = useState<PromptTemplate[]>(() => {
const saved = localStorage.getItem('infomaniak_prompts');
return saved ? JSON.parse(saved) : defaultPrompts;
});
const handleSaveSettings = (newApiKey: string, newProductId: string, newPrompts: PromptTemplate[]) => {
setApiKey(newApiKey);
setProductId(newProductId);
setPrompts(newPrompts);
localStorage.setItem('infomaniak_api_key', newApiKey);
localStorage.setItem('infomaniak_product_id', newProductId);
localStorage.setItem('infomaniak_prompts', JSON.stringify(newPrompts));
setView('recorder');
};
// State for Recorder (lifted to persist across view changes)
const [transcription, setTranscription] = useState('');
const [summary, setSummary] = useState('');
interface HistoryItem {
id: string;
date: string;
transcription: string;
summary: string;
}
const [history, setHistory] = useState<HistoryItem[]>(() => {
const saved = localStorage.getItem('infomaniak_history');
return saved ? JSON.parse(saved) : [];
});
const handleSaveToHistory = (t?: string, s?: string) => {
const transToSave = t !== undefined ? t : transcription;
const sumToSave = s !== undefined ? s : summary;
if (!transToSave && !sumToSave) return;
const newItem: HistoryItem = {
id: Date.now().toString(),
date: new Date().toLocaleString(),
transcription: transToSave,
summary: sumToSave
};
const newHistory = [newItem, ...history];
setHistory(newHistory);
localStorage.setItem('infomaniak_history', JSON.stringify(newHistory));
};
const handleDeleteHistory = (id: string) => {
const newHistory = history.filter(item => item.id !== id);
setHistory(newHistory);
localStorage.setItem('infomaniak_history', JSON.stringify(newHistory));
};
const handleLoadHistory = (item: HistoryItem) => {
setTranscription(item.transcription);
setSummary(item.summary);
};
return (
<div className="min-h-screen bg-background text-foreground flex flex-col select-none">
<div className="flex-1 flex flex-col justify-center h-full">
{view === 'recorder' ? (
<Recorder
apiKey={apiKey}
productId={productId}
prompts={prompts}
onOpenSettings={() => setView('settings')}
transcription={transcription}
setTranscription={setTranscription}
summary={summary}
setSummary={setSummary}
history={history}
onSaveToHistory={handleSaveToHistory}
onDeleteHistory={handleDeleteHistory}
onLoadHistory={handleLoadHistory}
/>
) : (
<Settings
onSave={handleSaveSettings}
onBack={() => setView('recorder')}
initialApiKey={apiKey}
initialProductId={productId}
initialPrompts={prompts}
/>
)}
</div>
{view === 'settings' && (
<div className="fixed top-4 right-4 z-50">
{/* Close button handled inside Settings typically */}
</div>
)}
</div>
);
}
export default App;

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import React, { useState, useEffect } from 'react';
import { Mic, Square, Settings as SettingsIcon, FileText, Sparkles, Copy, Check } from 'lucide-react';
import { invoke } from "@tauri-apps/api/core";
import logo from '../assets/logo.png'; // Import logo
import ReactMarkdown from 'react-markdown'; // Import Markdown renderer
interface PromptTemplate {
id: string;
name: string;
content: string;
}
interface HistoryItem {
id: string;
date: string;
transcription: string;
summary: string;
}
interface RecorderProps {
apiKey: string;
productId: string;
prompts: PromptTemplate[];
onOpenSettings: () => void;
// Lifted State Props
transcription: string;
setTranscription: (val: string) => void;
summary: string;
setSummary: (val: string) => void;
// History Props
history: HistoryItem[];
onSaveToHistory: (t?: string, s?: string) => void;
onDeleteHistory: (id: string) => void;
onLoadHistory: (item: HistoryItem) => void;
}
interface AudioDevice {
id: string;
name: string;
}
const LLM_MODELS = [
{ id: 'mixtral', name: 'Mixtral 8x7B (Best for Logic)' },
{ id: 'llama3', name: 'Llama 3 (Balanced)' },
{ id: 'llama3-70b', name: 'Llama 3 70B (High Quality)' },
{ id: 'granite-code', name: 'Granite Code (Coding)' }
];
const Recorder: React.FC<RecorderProps> = ({
apiKey, productId, prompts, onOpenSettings,
transcription, setTranscription, summary, setSummary,
history, onSaveToHistory, onDeleteHistory, onLoadHistory
}) => {
const [isRecording, setIsRecording] = useState(false);
const [status, setStatus] = useState<string>('Ready to record');
const [selectedDevice, setSelectedDevice] = useState<string>('');
const [selectedPromptId, setSelectedPromptId] = useState<string>('');
const [selectedModel, setSelectedModel] = useState<string>('mixtral');
const [devices, setDevices] = useState<AudioDevice[]>([]);
const [availableModels, setAvailableModels] = useState<Array<{ id: string, name: string }>>(LLM_MODELS);
const [showHistory, setShowHistory] = useState(false); // Toggle history view
// Local state for copy feedback only
const [copiedTrans, setCopiedTrans] = useState(false);
const [copiedSum, setCopiedSum] = useState(false);
useEffect(() => {
loadDevices();
if (apiKey && productId) {
loadModels();
}
}, [apiKey, productId]);
const loadModels = async () => {
try {
const models = await invoke<Array<{ id: string, name: string }>>('get_available_models', { apiKey, productId });
if (models && models.length > 0) {
// Sort models alphabetically
models.sort((a, b) => a.name.localeCompare(b.name));
setAvailableModels(models);
}
} catch (e) {
console.error("Failed to load models dynamically, using defaults:", e);
}
};
// Set default prompt selection
useEffect(() => {
if (prompts.length > 0 && !selectedPromptId) {
setSelectedPromptId(prompts[0].id);
} else if (prompts.length > 0 && selectedPromptId) {
// Check if selected still exists
if (!prompts.find(p => p.id === selectedPromptId)) {
setSelectedPromptId(prompts[0].id);
}
}
}, [prompts, selectedPromptId]);
const loadDevices = async () => {
try {
const devList = await invoke<AudioDevice[]>('get_input_devices');
setDevices(devList);
if (devList.length > 0 && !selectedDevice) {
setSelectedDevice(devList[0].id);
}
} catch (e) {
console.error('Failed to load devices', e);
}
};
const startRecording = async () => {
try {
setStatus('Starting...');
await invoke('start_recording', { deviceId: selectedDevice });
setIsRecording(true);
setTranscription('');
setSummary('');
setStatus('Recording...');
} catch (e) {
console.error(e);
setStatus(`Error: ${e}`);
setIsRecording(false);
}
};
const stopRecording = async () => {
try {
setIsRecording(false);
setStatus('Processing...');
const filePath = await invoke<string>('stop_recording');
setStatus('Transcribing (Infomaniak Whisper)...');
const transText = await invoke<string>('transcribe_audio', {
filePath,
apiKey,
productId
});
setTranscription(transText);
setTranscription(transText);
// Check if transcription is empty or just whitespace
if (!transText || transText.trim().length === 0) {
setStatus('Done (No speech detected)');
// If empty, set a placeholder so the UI shows something, but DON'T summarize
setTranscription('(No speech detected. Check your microphone settings.)');
setTimeout(() => setStatus('Ready to record'), 3000);
return;
}
// Find selected prompt content
const activePrompt = prompts.find(p => p.id === selectedPromptId);
const promptContent = activePrompt ? activePrompt.content : "Summarize this.";
setStatus(`Summarizing (${selectedModel})...`);
const sumText = await invoke<string>('summarize_text', {
text: transText,
apiKey,
productId,
prompt: promptContent,
model: selectedModel
});
setSummary(sumText);
// Auto-save to history
onSaveToHistory(transText, sumText);
setStatus('Done!');
setTimeout(() => setStatus('Ready to record'), 3000);
} catch (e) {
console.error(e);
setStatus(`Error: ${e}`);
}
};
const installDriver = async () => {
try {
setStatus('Installing driver...');
const res = await invoke('install_driver');
console.log(res);
setStatus('Driver installed. Please restart app.');
loadDevices();
} catch (e) {
setStatus(`Install failed: ${e}`);
}
};
const copyToClipboard = async (text: string, isSummary: boolean) => {
try {
await navigator.clipboard.writeText(text);
if (isSummary) {
setCopiedSum(true);
setTimeout(() => setCopiedSum(false), 2000);
} else {
setCopiedTrans(true);
setTimeout(() => setCopiedTrans(false), 2000);
}
} catch (err) {
console.error('Failed to copy!', err);
}
};
return (
<div className="flex flex-col w-full h-full bg-background relative">
{/* Fixed Header */}
<div className="w-full flex justify-between items-center p-6 border-b border-border/40 bg-background/95 backdrop-blur supports-[backdrop-filter]:bg-background/60 z-10 sticky top-0 shrink-0">
<img src={logo} alt="Logo" className="h-12 object-contain" />
<div className="flex items-center gap-2">
<button
onClick={() => setShowHistory(!showHistory)}
className={`flex items-center gap-2 px-3 py-1.5 rounded-md text-sm font-medium transition-all ${showHistory
? 'bg-primary/10 text-primary'
: 'text-muted-foreground hover:text-foreground hover:bg-secondary'
}`}
>
<FileText size={16} />
{showHistory ? 'Recorder' : 'Records'}
</button>
<button
onClick={onOpenSettings}
className="p-2 text-muted-foreground hover:text-foreground hover:bg-secondary rounded-md transition-colors"
>
<SettingsIcon size={20} />
</button>
</div>
</div>
{/* Scrollable Content */}
<div className="flex-1 overflow-y-auto p-6 flex flex-col items-center pb-20">
{showHistory ? (
<div className="w-full max-w-md space-y-4">
<h2 className="text-xl font-bold mb-4">Saved Recordings</h2>
{history.length === 0 && <p className="text-muted-foreground">No saved history.</p>}
{history.map(item => (
<div key={item.id} className="p-4 rounded-lg bg-card border border-border shadow-sm">
<div className="flex justify-between items-start mb-2">
<span className="text-xs text-muted-foreground">{item.date}</span>
<div className="flex gap-2">
<button
onClick={() => { onLoadHistory(item); setShowHistory(false); }}
className="text-xs bg-primary text-primary-foreground px-2 py-1 rounded"
>
Load
</button>
<button
onClick={() => onDeleteHistory(item.id)}
className="text-xs bg-destructive text-destructive-foreground px-2 py-1 rounded"
>
Delete
</button>
</div>
</div>
<p className="text-sm truncate font-medium">{item.summary ? item.summary.slice(0, 50) + "..." : "No Summary"}</p>
<p className="text-xs text-muted-foreground truncate">{item.transcription.slice(0, 50)}...</p>
</div>
))}
</div>
) : (
<>
<div className="mb-6 relative shrink-0">
<div className={`w-32 h-32 rounded-full flex items-center justify-center transition-all duration-300 ${isRecording ? 'bg-red-500/10 animate-pulse' : 'bg-secondary'}`}>
{isRecording ? (
<div className="w-24 h-24 rounded-full bg-red-500 flex items-center justify-center shadow-[0_0_20px_rgba(239,68,68,0.5)]">
<Mic size={40} className="text-white animate-bounce" />
</div>
) : (
<div className="w-24 h-24 rounded-full bg-primary flex items-center justify-center">
<Mic size={40} className="text-primary-foreground" />
</div>
)}
</div>
</div>
<h1 className="text-2xl font-bold mb-2 text-foreground">
{isRecording ? 'Listening...' : 'Ready to Record'}
</h1>
<p className="text-muted-foreground mb-6 text-center text-sm h-6">
{status}
</p>
<div className="w-full max-w-sm space-y-4 mb-6 shrink-0">
{!isRecording ? (
<button
onClick={startRecording}
disabled={!apiKey || !productId}
className="w-full py-4 text-lg font-semibold bg-primary text-primary-foreground rounded-lg hover:bg-primary/90 disabled:opacity-50 disabled:cursor-not-allowed transition-all shadow-md hover:shadow-lg"
>
{!apiKey ? 'Configure API Key First' : 'Start Recording'}
</button>
) : (
<button
onClick={stopRecording}
className="w-full py-4 text-lg font-semibold bg-destructive text-destructive-foreground rounded-lg hover:bg-destructive/90 transition-all shadow-md hover:shadow-lg flex items-center justify-center gap-2"
>
<Square size={20} fill="currentColor" />
Stop Recording
</button>
)}
<div className="grid grid-cols-2 gap-4 pt-2">
<div>
<label className="text-xs font-semibold text-muted-foreground uppercase tracking-wider block mb-1">
Input Device
</label>
<select
value={selectedDevice}
onChange={(e) => setSelectedDevice(e.target.value)}
className="w-full p-2 text-sm bg-secondary rounded border border-border outline-none focus:ring-2 focus:ring-primary"
disabled={isRecording}
>
{devices.map(d => (
<option key={d.id} value={d.id}>{d.name}</option>
))}
{devices.length === 0 && <option value="">Loading devices...</option>}
</select>
</div>
<div>
<label className="text-xs font-semibold text-muted-foreground uppercase tracking-wider block mb-1">
LLM Model
</label>
<select
value={selectedModel}
onChange={(e) => setSelectedModel(e.target.value)}
className="w-full p-2 text-sm bg-secondary rounded border border-border outline-none focus:ring-2 focus:ring-primary"
disabled={isRecording}
>
{availableModels.map(m => (
<option key={m.id} value={m.id}>{m.name}</option>
))}
</select>
</div>
</div>
<div className="w-full">
<label className="text-xs font-semibold text-muted-foreground uppercase tracking-wider block mb-1">
AI Template
</label>
<select
value={selectedPromptId}
onChange={(e) => setSelectedPromptId(e.target.value)}
className="w-full p-2 text-sm bg-secondary rounded border border-border outline-none focus:ring-2 focus:ring-primary"
disabled={isRecording || prompts.length === 0}
>
{prompts.map(p => (
<option key={p.id} value={p.id}>{p.name}</option>
))}
{prompts.length === 0 && <option value="">No templates</option>}
</select>
</div>
<button
onClick={installDriver}
className="text-xs text-primary underline w-full text-center hover:text-primary/80 mt-1 block"
>
Install BlackHole Driver (for System Audio)
</button>
</div>
{(transcription || summary) && (
<div className="w-full space-y-6 animate-in fade-in slide-in-from-bottom-4 duration-500 pb-10">
{/* Transcription Block (Source) */}
{transcription && (
<div className="p-5 bg-card rounded-xl border border-border shadow-sm">
<div className="flex items-center justify-between mb-3">
<div className="flex items-center gap-2 text-blue-500 font-semibold">
<FileText size={18} />
<h3>Original Transcription</h3>
</div>
<button
onClick={() => copyToClipboard(transcription, false)}
className="p-1.5 hover:bg-secondary rounded-md transition-colors text-muted-foreground hover:text-foreground"
title="Copy Transcription"
>
{copiedTrans ? <Check size={16} className="text-green-500" /> : <Copy size={16} />}
</button>
</div>
<p className="text-sm text-foreground/80 whitespace-pre-wrap max-h-[200px] overflow-y-auto pr-2 bg-secondary/30 p-3 rounded-lg border border-border/50 font-medium">
{transcription}
</p>
</div>
)}
{/* Summary Block (Result) */}
{summary && (
<div className="p-5 bg-card rounded-xl border border-border shadow-sm ring-1 ring-purple-500/20">
<div className="flex items-center justify-between mb-3">
<div className="flex items-center gap-2 text-purple-500 font-semibold">
<Sparkles size={18} />
<h3>AI Summary</h3>
</div>
<div className="flex items-center gap-2">
<button
onClick={() => onSaveToHistory()}
className="text-xs bg-green-600 text-white px-3 py-1.5 rounded-md hover:bg-green-700 font-medium transition-colors"
>
Save
</button>
<button
onClick={() => copyToClipboard(summary, true)}
className="p-1.5 hover:bg-secondary rounded-md transition-colors text-muted-foreground hover:text-foreground"
title="Copy Summary"
>
{copiedSum ? <Check size={16} className="text-green-500" /> : <Copy size={16} />}
</button>
</div>
</div>
<div className="text-sm text-foreground/90 leading-relaxed max-h-[400px] overflow-y-auto pr-2 custom-scrollbar prose prose-sm dark:prose-invert max-w-none prose-p:my-1 prose-headings:my-2 prose-ul:my-1 prose-li:my-0.5">
<ReactMarkdown>
{summary}
</ReactMarkdown>
</div>
</div>
)}
</div>
)}
</>
)}
</div>
</div>
);
};
export default Recorder;

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import React, { useState, useEffect } from 'react';
import { Plus, Trash2 } from 'lucide-react';
interface PromptTemplate {
id: string;
name: string;
content: string;
}
interface SettingsProps {
onSave: (apiKey: string, productId: string, prompts: PromptTemplate[]) => void;
onBack: () => void; // New onBack prop
initialApiKey: string;
initialProductId: string;
initialPrompts: PromptTemplate[];
}
const Settings: React.FC<SettingsProps> = ({ onSave, onBack, initialApiKey, initialProductId, initialPrompts }) => {
const [apiKey, setApiKey] = useState(initialApiKey);
const [productId, setProductId] = useState(initialProductId);
const [prompts, setPrompts] = useState<PromptTemplate[]>(initialPrompts);
useEffect(() => {
setApiKey(initialApiKey);
setProductId(initialProductId);
// Only reset prompts if passed different ones (mounting), usually state is preserved in App
}, [initialApiKey, initialProductId]);
const handleSave = (e: React.FormEvent) => {
e.preventDefault();
onSave(apiKey, productId, prompts);
};
const addPrompt = () => {
setPrompts([...prompts, { id: Date.now().toString(), name: 'New Prompt', content: '' }]);
};
const updatePrompt = (id: string, field: 'name' | 'content', value: string) => {
setPrompts(prompts.map(p => p.id === id ? { ...p, [field]: value } : p));
};
const removePrompt = (id: string) => {
setPrompts(prompts.filter(p => p.id !== id));
};
return (
<div className="p-6 w-full max-w-2xl mx-auto mt-6 animate-in fade-in duration-500">
<div className="flex justify-between items-center mb-6">
<h2 className="text-2xl font-bold text-foreground">Infomaniak Settings</h2>
<button
type="button"
onClick={onBack}
className="text-sm text-muted-foreground hover:text-foreground hover:bg-secondary px-3 py-1.5 rounded-md transition-colors"
>
Back to Recorder
</button>
</div>
<form onSubmit={handleSave} className="space-y-6">
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<div>
<label htmlFor="apiKey" className="block text-sm font-medium mb-1 text-foreground">
Infomaniak API Key
</label>
<input
id="apiKey"
type="password"
value={apiKey}
onChange={(e) => setApiKey(e.target.value)}
placeholder="ik_..."
className="w-full p-2 rounded border border-border bg-secondary text-foreground focus:ring-2 focus:ring-primary outline-none"
/>
</div>
<div>
<label htmlFor="productId" className="block text-sm font-medium mb-1 text-foreground">
Product ID
</label>
<input
id="productId"
type="text"
value={productId}
onChange={(e) => setProductId(e.target.value)}
placeholder="Number (e.g., 12345)"
className="w-full p-2 rounded border border-border bg-secondary text-foreground focus:ring-2 focus:ring-primary outline-none"
/>
</div>
</div>
<div className="border-t border-border pt-6">
<div className="flex justify-between items-center mb-4">
<label className="block text-sm font-medium text-foreground">
Summarization Templates
</label>
<button
type="button"
onClick={addPrompt}
className="text-xs flex items-center gap-1 bg-secondary hover:bg-secondary/80 text-foreground px-3 py-1 rounded transition-colors"
>
<Plus size={14} /> Add Template
</button>
</div>
<div className="space-y-4 max-h-[400px] overflow-y-auto pr-2">
{prompts.map((prompt) => (
<div key={prompt.id} className="p-4 rounded-lg border border-border bg-card shadow-sm space-y-3">
<div className="flex justify-between gap-3">
<input
type="text"
value={prompt.name}
onChange={(e) => updatePrompt(prompt.id, 'name', e.target.value)}
placeholder="Template Name (e.g., Email Summary)"
className="flex-1 font-semibold bg-transparent border-none p-0 focus:ring-0 text-foreground placeholder:text-muted-foreground outline-none"
/>
<button
type="button"
onClick={() => removePrompt(prompt.id)}
className="text-muted-foreground hover:text-destructive transition-colors"
title="Remove Template"
>
<Trash2 size={16} />
</button>
</div>
<textarea
value={prompt.content}
onChange={(e) => updatePrompt(prompt.id, 'content', e.target.value)}
placeholder="Enter instructions for the AI..."
rows={3}
className="w-full p-2 text-sm rounded border border-border bg-secondary/50 text-foreground focus:ring-1 focus:ring-primary outline-none resize-none"
/>
</div>
))}
{prompts.length === 0 && (
<p className="text-center text-sm text-muted-foreground py-4">
No templates defined. Click "Add Template" to create one.
</p>
)}
</div>
</div>
<div className="flex gap-4">
<button
type="button"
onClick={onBack}
className="w-1/3 bg-secondary text-secondary-foreground py-3 px-4 rounded-lg hover:bg-secondary/80 transition-all font-semibold"
>
Cancel
</button>
<button
type="submit"
className="w-2/3 bg-primary text-primary-foreground py-3 px-4 rounded-lg hover:bg-primary/90 transition-all font-semibold shadow-lg hover:shadow-xl transform hover:-translate-y-0.5"
>
Save Configuration
</button>
</div>
</form>
</div>
);
};
export default Settings;

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@import "tailwindcss";
@plugin "@tailwindcss/typography";
@theme {
--color-background: hsl(var(--background));
--color-foreground: hsl(var(--foreground));
--color-card: hsl(var(--card));
--color-card-foreground: hsl(var(--card-foreground));
--color-popover: hsl(var(--popover));
--color-popover-foreground: hsl(var(--popover-foreground));
--color-primary: hsl(var(--primary));
--color-primary-foreground: hsl(var(--primary-foreground));
--color-secondary: hsl(var(--secondary));
--color-secondary-foreground: hsl(var(--secondary-foreground));
--color-muted: hsl(var(--muted));
--color-muted-foreground: hsl(var(--muted-foreground));
--color-accent: hsl(var(--accent));
--color-accent-foreground: hsl(var(--accent-foreground));
--color-destructive: hsl(var(--destructive));
--color-destructive-foreground: hsl(var(--destructive-foreground));
--color-border: hsl(var(--border));
--color-input: hsl(var(--input));
--color-ring: hsl(var(--ring));
--radius-lg: var(--radius);
--radius-md: calc(var(--radius) - 2px);
--radius-sm: calc(var(--radius) - 4px);
}
@layer base {
:root {
--background: 0 0% 100%;
--foreground: 222.2 84% 4.9%;
--card: 0 0% 100%;
--card-foreground: 222.2 84% 4.9%;
--popover: 0 0% 100%;
--popover-foreground: 222.2 84% 4.9%;
--primary: 222.2 47.4% 11.2%;
--primary-foreground: 210 40% 98%;
--secondary: 210 40% 96.1%;
--secondary-foreground: 222.2 47.4% 11.2%;
--muted: 210 40% 96.1%;
--muted-foreground: 215.4 16.3% 46.9%;
--accent: 210 40% 96.1%;
--accent-foreground: 222.2 47.4% 11.2%;
--destructive: 0 84.2% 60.2%;
--destructive-foreground: 210 40% 98%;
--border: 214.3 31.8% 91.4%;
--input: 214.3 31.8% 91.4%;
--ring: 222.2 84% 4.9%;
--radius: 0.5rem;
}
.dark {
--background: 222.2 84% 4.9%;
--foreground: 210 40% 98%;
--card: 222.2 84% 4.9%;
--card-foreground: 210 40% 98%;
--popover: 222.2 84% 4.9%;
--popover-foreground: 210 40% 98%;
--primary: 210 40% 98%;
--primary-foreground: 222.2 47.4% 11.2%;
--secondary: 217.2 32.6% 17.5%;
--secondary-foreground: 210 40% 98%;
--muted: 217.2 32.6% 17.5%;
--muted-foreground: 215 20.2% 65.1%;
--accent: 217.2 32.6% 17.5%;
--accent-foreground: 210 40% 98%;
--destructive: 0 62.8% 30.6%;
--destructive-foreground: 210 40% 98%;
--border: 217.2 32.6% 17.5%;
--input: 217.2 32.6% 17.5%;
--ring: 212.7 26.8% 83.9%;
}
}
@layer base {
* {
@apply border-border;
}
body {
@apply bg-background text-foreground;
}
}

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import React from "react";
import ReactDOM from "react-dom/client";
import "./index.css";
import App from "./App";
ReactDOM.createRoot(document.getElementById("root") as HTMLElement).render(
<React.StrictMode>
<App />
</React.StrictMode>,
);

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/// <reference types="vite/client" />

45
tailwind.config.js Normal file
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/** @type {import('tailwindcss').Config} */
export default {
content: [
"./index.html",
"./src/**/*.{js,ts,jsx,tsx}",
],
theme: {
extend: {
colors: {
background: "hsl(var(--background))",
foreground: "hsl(var(--foreground))",
card: "hsl(var(--card))",
"card-foreground": "hsl(var(--card-foreground))",
popover: "hsl(var(--popover))",
"popover-foreground": "hsl(var(--popover-foreground))",
primary: "hsl(var(--primary))",
"primary-foreground": "hsl(var(--primary-foreground))",
secondary: "hsl(var(--secondary))",
"secondary-foreground": "hsl(var(--secondary-foreground))",
muted: "hsl(var(--muted))",
"muted-foreground": "hsl(var(--muted-foreground))",
accent: "hsl(var(--accent))",
"accent-foreground": "hsl(var(--accent-foreground))",
destructive: "hsl(var(--destructive))",
"destructive-foreground": "hsl(var(--destructive-foreground))",
border: "hsl(var(--border))",
input: "hsl(var(--input))",
ring: "hsl(var(--ring))",
chart: {
"1": "hsl(var(--chart-1))",
"2": "hsl(var(--chart-2))",
"3": "hsl(var(--chart-3))",
"4": "hsl(var(--chart-4))",
"5": "hsl(var(--chart-5))"
}
},
borderRadius: {
lg: "var(--radius)",
md: "calc(var(--radius) - 2px)",
sm: "calc(var(--radius) - 4px)"
}
},
},
plugins: [],
}

25
tsconfig.json Normal file
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{
"compilerOptions": {
"target": "ES2020",
"useDefineForClassFields": true,
"lib": ["ES2020", "DOM", "DOM.Iterable"],
"module": "ESNext",
"skipLibCheck": true,
/* Bundler mode */
"moduleResolution": "bundler",
"allowImportingTsExtensions": true,
"resolveJsonModule": true,
"isolatedModules": true,
"noEmit": true,
"jsx": "react-jsx",
/* Linting */
"strict": true,
"noUnusedLocals": true,
"noUnusedParameters": true,
"noFallthroughCasesInSwitch": true
},
"include": ["src"],
"references": [{ "path": "./tsconfig.node.json" }]
}

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tsconfig.node.json Normal file
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{
"compilerOptions": {
"composite": true,
"skipLibCheck": true,
"module": "ESNext",
"moduleResolution": "bundler",
"allowSyntheticDefaultImports": true
},
"include": ["vite.config.ts"]
}

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import { defineConfig } from "vite";
import react from "@vitejs/plugin-react";
// @ts-expect-error process is a nodejs global
const host = process.env.TAURI_DEV_HOST;
// https://vite.dev/config/
export default defineConfig(async () => ({
plugins: [react()],
// Vite options tailored for Tauri development and only applied in `tauri dev` or `tauri build`
//
// 1. prevent Vite from obscuring rust errors
clearScreen: false,
// 2. tauri expects a fixed port, fail if that port is not available
server: {
port: 1420,
strictPort: true,
host: host || false,
hmr: host
? {
protocol: "ws",
host,
port: 1421,
}
: undefined,
watch: {
// 3. tell Vite to ignore watching `src-tauri`
ignored: ["**/src-tauri/**"],
},
},
}));