README.md

metadata

title: Sleep Stage Classifier
emoji: 😴
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 6.12.0
app_file: app.py
pinned: false
license: mit
short_description: Classify sleep stages from raw EEG signals
python_version: '3.11'

😴 Sleep Stage Classification

Upload a CSV, TXT, or NPY file containing raw EEG signal data (100 Hz sampling rate). The model classifies the signal into 30-second epochs across 6 sleep stages: Wake, N1, N2, N3, N4, REM.

Model Architecture

• Type: 1D Convolutional Neural Network
• Framework: PyTorch
• Input: Single-channel EEG, 3000 samples per epoch (30s at 100 Hz)
• Output: 6-class classification logits → softmax probabilities

API Usage

from gradio_client import Client

client = Client("<your-username>/sleep-stage-classifier")
result = client.predict(file="path/to/eeg.csv")
print(result)

Lovable / Frontend Integration

import { Client } from "@gradio/client";

const client = await Client.connect(
  "https://<your-username>-sleep-stage-classifier.hf.space"
);
const result = await client.predict("/predict", { file: yourFile });
console.log(result.data);