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Edwardx001/
ragasa-diarization-handler

apache-2.0

endpoints_compatible

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ORCA360 Speaker Diarization API

This Space provides speaker diarization capabilities for the ORCA360 automated assessment platform.

Features

🎤 Speaker identification in audio recordings
⏱️ Timestamp-based speaker segmentation
🔢 Configurable min/max number of speakers
🚀 GPU-accelerated processing
📡 API access available

Usage

Web Interface

Upload an audio file (WAV, MP3, M4A)
Optionally specify min/max speakers
Click "Diarize"
View results with speaker segments and timestamps

API Access

python

from gradio_client import Client

client = Client("Edwardx001/ragasa-diarization")
result = client.predict(
    audio_file="path/to/audio.wav",
    min_speakers=None,
    max_speakers=None,
    api_name="/predict"
)
print(result)

cURL Example

bash

curl -X POST https://edwardx001-ragasa-diarization.hf.space/api/predict \
  -F "data=@audio.wav"

Model

Uses pyannote/speaker-diarization-3.1

License

Apache 2.0

Project

Part of the ORCA360 aviation training assessment platform.

Edwardx001/ragasa-diarization-handler