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aTrapDeer/
qwen2-audio-caption-endpoint

Name: qwen2-audio-caption-endpoint
Availability: InStock

endpoints_compatible

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Qwen2-Audio Caption Endpoint Template

Use this as a custom handler.py runtime for a Hugging Face Dedicated Endpoint.

Request contract

json

{
  "inputs": {
    "prompt": "Analyze and describe this music segment.",
    "audio_base64": "<base64-encoded WAV bytes>",
    "sample_rate": 16000,
    "max_new_tokens": 384,
    "temperature": 0.1
  }
}

Response contract

json

{
  "generated_text": "..."
}

Setup

Fastest way from this repo:

python scripts/hf_clone.py qwen-endpoint --repo-id YOUR_USERNAME/YOUR_QWEN_ENDPOINT_REPO

Then deploy a Dedicated Endpoint from that repo with task custom.

Manual path:

Create a new model repo for your endpoint runtime.
Copy handler.py from this folder into that repo as top-level handler.py.
Add a requirements.txt containing at least:
- torch
- torchaudio
- transformers>=4.53.0,<4.58.0
- soundfile
- numpy
Deploy a Dedicated Endpoint from that repo.
Optional endpoint env var:
- QWEN_MODEL_ID=Qwen/Qwen2-Audio-7B-Instruct

Then point qwen_caption_app.py backend hf_endpoint at that endpoint URL.

Quick local test script

From this repo:

bash

python scripts/endpoint/test_qwen_caption_endpoint.py \
  --url https://YOUR_ENDPOINT.endpoints.huggingface.cloud \
  --token hf_xxx \
  --audio path/to/song.wav

aTrapDeer/qwen2-audio-caption-endpoint