Spaces:
Running on Zero
Running on Zero
File size: 2,218 Bytes
c759578 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 | # Live Urdu S2S Runtime
Use this once you want to run the real Urdu S2S service:
ASR audio -> Urdu reply -> Devanagari bridge -> Praxy/Chatterbox WAV
## Preflight
```bash
PYTHONPATH=src:scripts python3 scripts/s2s_live_preflight.py
```
The command checks:
- sample input WAV exists
- Praxy voice anchor exists
- `OPENAI_API_KEY` is present
- `faster-whisper`, `chatterbox-tts`, and `soundfile` are importable
- Python version is likely compatible
## Recommended Runtime
Use Python 3.10, 3.11, or 3.12 for the live ML audio environment. The current local `.venv` may be Python 3.14, which is likely to be brittle for these dependencies.
```bash
python3.11 -m venv .venv-live-s2s
source .venv-live-s2s/bin/activate
pip install -r requirements-live-s2s.txt
```
Then set the OpenAI key in the shell:
```bash
export OPENAI_API_KEY="..."
export OPENAI_MODEL="gpt-4o-mini"
```
## Full Local Smoke Command
```bash
PYTHONPATH=src:scripts python3 scripts/run_s2s_live.py \
--audio-path data/raw/benchmarks/gemini_urdu_s2s_v1/audio/bench_001.wav \
--asr-provider faster_whisper \
--whisper-model large-v3 \
--whisper-device cpu \
--whisper-compute-type int8 \
--tts-provider chatterbox_praxy \
--tts-audio-path reports/evals/s2s_live_bench_001_praxy.wav \
--output-json reports/evals/s2s_live_bench_001.json
```
For a CUDA GPU box, use:
```bash
--whisper-device cuda \
--whisper-compute-type float16 \
--chatterbox-device cuda
```
## API Live TTS Mode
Start the API:
```bash
PYTHONPATH=src:scripts python3 scripts/serve_s2s_api.py --host 0.0.0.0 --port 8017
```
Generate a live Praxy/Chatterbox response WAV:
```bash
curl -X POST "http://127.0.0.1:8017/s2s?mode=live_tts&request_id=live_bench_001&prompt_roman_urdu=Assalam%20o%20alaikum&whisper_device=cuda&whisper_compute_type=float16&chatterbox_device=cuda" \
-F "audio=@data/processed/benchmarks/gemini_urdu_s2s_v1/audio_canonical/bench_001.wav"
```
The generated WAV is saved under `artifacts/api_tts_outputs/{request_id}.wav` and is served from `/s2s/{request_id}/audio`.
## Current Local Blockers
If preflight reports missing dependencies or Python 3.14, use a Python 3.11/3.12 runtime or run the same command on the GPU box.
|