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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 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 | #!/usr/bin/env python3
"""Run the reusable Urdu S2S service with live reply and speech-text providers."""
from __future__ import annotations
import argparse
import json
from pathlib import Path
import sys
from typing import Any
ROOT = Path(__file__).resolve().parents[1]
for path in (ROOT / "src", ROOT / "scripts"):
if str(path) not in sys.path:
sys.path.insert(0, str(path))
from urdu_s2s.asr_providers import FasterWhisperASRProvider # noqa: E402
from urdu_s2s.live_providers import ( # noqa: E402
OpenAIBridgeProvider,
OpenAICompatibleChatClient,
OpenAIReplyProvider,
)
from urdu_s2s.pipeline import SpeechToSpeechPipeline # noqa: E402
from urdu_s2s.schemas import ( # noqa: E402
ASRResult,
BridgeResult,
ReplyResult,
SpeechToSpeechRequest,
SpeechToSpeechResult,
TTSResult,
)
from urdu_s2s.tts_providers import ChatterboxPraxyTTSProvider # noqa: E402
from urdu_s2s.tracing import to_jsonable # noqa: E402
DEFAULT_PRAXY_ANCHOR = ROOT / "data/processed/voice_anchors/chatterbox_praxy_v1/bench_025.wav"
class TranscriptASRProvider:
"""Temporary ASR adapter for live S2S testing from a known transcript."""
def __init__(self, transcript: str) -> None:
self.transcript = transcript
def transcribe(self, request: SpeechToSpeechRequest) -> ASRResult:
return ASRResult(
text=self.transcript,
provider="provided_transcript",
model="manual_asr_transcript",
language="ur",
)
class PlaceholderTTSProvider:
"""Temporary TTS adapter until the live Chatterbox/Praxy provider is wired."""
def __init__(self, audio_path: Path) -> None:
self.audio_path = audio_path
def synthesize(
self,
request: SpeechToSpeechRequest,
reply: ReplyResult,
bridge: BridgeResult,
) -> TTSResult:
return TTSResult(
audio_path=self.audio_path,
provider="placeholder_tts",
model="not_synthesized_yet",
)
def build_text_live_pipeline(
*,
audio_path: Path,
request_id: str,
asr_transcript: str,
prompt_roman_urdu: str,
tts_audio_path: Path,
chat_client: OpenAICompatibleChatClient,
) -> tuple[SpeechToSpeechPipeline, SpeechToSpeechRequest]:
return build_live_pipeline(
audio_path=audio_path,
request_id=request_id,
asr_provider_name="transcript",
asr_transcript=asr_transcript,
prompt_roman_urdu=prompt_roman_urdu,
tts_provider_name="placeholder",
tts_audio_path=tts_audio_path,
chat_client=chat_client,
)
def build_live_pipeline(
*,
audio_path: Path,
request_id: str,
asr_provider_name: str,
asr_transcript: str,
prompt_roman_urdu: str,
tts_provider_name: str = "placeholder",
tts_audio_path: Path,
voice_prompt_audio_path: Path = DEFAULT_PRAXY_ANCHOR,
chat_client: OpenAICompatibleChatClient,
whisper_model_factory: Any | None = None,
whisper_model: str = "large-v3",
whisper_language: str = "ur",
whisper_device: str = "cpu",
whisper_compute_type: str = "int8",
chatterbox_model_loader: Any | None = None,
chatterbox_wav_writer: Any | None = None,
chatterbox_duration_reader: Any | None = None,
chatterbox_device: str = "cuda",
chatterbox_t3_model: str = "v3",
) -> tuple[SpeechToSpeechPipeline, SpeechToSpeechRequest]:
if asr_provider_name == "transcript":
if not asr_transcript.strip():
raise ValueError("--asr-transcript is required when --asr-provider transcript")
asr_provider = TranscriptASRProvider(asr_transcript)
elif asr_provider_name == "faster_whisper":
asr_provider = FasterWhisperASRProvider(
model_name=whisper_model,
language=whisper_language,
device=whisper_device,
compute_type=whisper_compute_type,
model_factory=whisper_model_factory,
)
else:
raise ValueError(f"Unknown ASR provider: {asr_provider_name}")
if tts_provider_name == "placeholder":
tts_provider = PlaceholderTTSProvider(tts_audio_path)
elif tts_provider_name == "chatterbox_praxy":
tts_provider = ChatterboxPraxyTTSProvider(
output_audio_path=tts_audio_path,
voice_prompt_audio_path=voice_prompt_audio_path,
device=chatterbox_device,
t3_model=chatterbox_t3_model,
model_loader=chatterbox_model_loader,
wav_writer=chatterbox_wav_writer,
duration_reader=chatterbox_duration_reader,
)
else:
raise ValueError(f"Unknown TTS provider: {tts_provider_name}")
pipeline = SpeechToSpeechPipeline(
asr_provider=asr_provider,
reply_provider=OpenAIReplyProvider(chat_client=chat_client),
bridge_provider=OpenAIBridgeProvider(chat_client=chat_client),
tts_provider=tts_provider,
)
request = SpeechToSpeechRequest(
request_id=request_id,
audio_path=audio_path,
metadata={"prompt_roman_urdu": prompt_roman_urdu},
)
return pipeline, request
def result_to_payload(result: SpeechToSpeechResult) -> dict[str, object]:
return {
"request_id": result.request.request_id,
"input_audio_path": str(result.request.audio_path),
"asr_transcript": result.asr.text,
"assistant_reply_urdu": result.reply.text_urdu,
"devanagari_tts_text": result.bridge.text_devanagari,
"tts_audio_path": str(result.tts.audio_path),
"trace": to_jsonable(result.trace),
}
def write_json_result(payload: dict[str, object], output_path: Path) -> None:
output_path.parent.mkdir(parents=True, exist_ok=True)
output_path.write_text(
json.dumps(payload, ensure_ascii=False, indent=2) + "\n",
encoding="utf-8",
)
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser()
parser.add_argument("--audio-path", required=True, type=Path)
parser.add_argument(
"--asr-provider",
choices=["transcript", "faster_whisper"],
default="transcript",
)
parser.add_argument(
"--asr-transcript",
default="",
help="Temporary transcript input until a live ASR provider is wired.",
)
parser.add_argument("--whisper-model", default="large-v3")
parser.add_argument("--whisper-language", default="ur")
parser.add_argument("--whisper-device", default="cpu")
parser.add_argument("--whisper-compute-type", default="int8")
parser.add_argument("--prompt-roman-urdu", default="")
parser.add_argument("--request-id", default="")
parser.add_argument("--model", default="")
parser.add_argument("--base-url", default="")
parser.add_argument("--output-json", type=Path, default=ROOT / "reports/evals/s2s_live_result.json")
parser.add_argument(
"--tts-provider",
choices=["placeholder", "chatterbox_praxy"],
default="placeholder",
)
parser.add_argument(
"--tts-audio-path",
type=Path,
default=ROOT / "reports/evals/s2s_live_placeholder_tts.wav",
help="Response WAV path for Chatterbox, or placeholder path in placeholder mode.",
)
parser.add_argument("--voice-prompt-audio-path", type=Path, default=DEFAULT_PRAXY_ANCHOR)
parser.add_argument("--chatterbox-device", default="cuda")
parser.add_argument("--chatterbox-t3-model", default="v3")
return parser.parse_args()
def main() -> int:
args = parse_args()
request_id = args.request_id or args.audio_path.stem
chat_client = OpenAICompatibleChatClient(
base_url=args.base_url or None,
model=args.model or None,
)
pipeline, request = build_live_pipeline(
audio_path=args.audio_path,
request_id=request_id,
asr_provider_name=args.asr_provider,
asr_transcript=args.asr_transcript,
prompt_roman_urdu=args.prompt_roman_urdu,
tts_provider_name=args.tts_provider,
tts_audio_path=args.tts_audio_path,
voice_prompt_audio_path=args.voice_prompt_audio_path,
chat_client=chat_client,
whisper_model=args.whisper_model,
whisper_language=args.whisper_language,
whisper_device=args.whisper_device,
whisper_compute_type=args.whisper_compute_type,
chatterbox_device=args.chatterbox_device,
chatterbox_t3_model=args.chatterbox_t3_model,
)
payload = result_to_payload(pipeline.run(request))
write_json_result(payload, args.output_json)
print(json.dumps(payload, ensure_ascii=False, indent=2))
print(f"wrote={args.output_json}")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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