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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -299,7 +299,7 @@ Websocket接口地址: wss://2662r3426b.vicp.fun/xiaozhi/v1/
| 使用方式 | 支持平台 | 免费平台 |
|:---:|:---:|:---:|
| 本地使用 | FunASR、SherpaASR | FunASR、SherpaASR |
| 接口调用 | DoubaoASR、FunASRServer、TencentASR、AliyunASR | FunASRServer |
| 接口调用 | DoubaoASR、FunASRServer、TencentASR、AliyunASR、GroqASR | FunASRServer |

---

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2 changes: 1 addition & 1 deletion README_en.md
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Expand Up @@ -268,7 +268,7 @@ In fact, any LLM that supports openai interface calls can be integrated and used
| Usage Method | Supported Platforms | Free Platforms |
|:---:|:---:|:---:|
| Local Usage | FunASR, SherpaASR | FunASR, SherpaASR |
| API Call | DoubaoASR, FunASRServer, TencentASR, AliyunASR | FunASRServer |
| API Call | DoubaoASR, FunASRServer, TencentASR, AliyunASR, GroqASR | FunASRServer |

---

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4 changes: 4 additions & 0 deletions main/xiaozhi-server/config.yaml
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Expand Up @@ -317,6 +317,10 @@ ASR:
# 语言参数,1537为普通话,具体参考:https://ai.baidu.com/ai-doc/SPEECH/0lbxfnc9b
dev_pid: 1537
output_dir: tmp/
Groq:
type: groq
model: whisper-large-v3 # https://groq.com/largest-most-capable-asr-model-now-faster-on-groqcloud/
api_key: 你的groq api key

VAD:
SileroVAD:
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69 changes: 69 additions & 0 deletions main/xiaozhi-server/core/providers/asr/groq.py
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@@ -0,0 +1,69 @@
import os
import tempfile
import subprocess
import wave
from pathlib import Path
from groq import Groq, RateLimitError
from config.logger import setup_logging
from core.providers.asr.base import ASRProviderBase
from core.providers.asr.dto.dto import InterfaceType

TAG = __name__
logger = setup_logging()

class ASRProvider(ASRProviderBase):
def __init__(self, config, delete_audio_file):
super().__init__()
self.interface_type = InterfaceType.NON_STREAM
self.api_key = config.get("api_key") or os.getenv("GROQ_API_KEY")
self.model = config.get("model") or "distil-whisper-large-v3"
self.delete_audio_file = delete_audio_file

def preprocess_audio(self, pcm_data: bytes) -> Path:
# Write PCM data to a valid WAV file
with tempfile.NamedTemporaryFile(suffix='.wav', delete=False) as temp_wav:
with wave.open(temp_wav, "wb") as wf:
wf.setnchannels(1)
wf.setsampwidth(2) # 16-bit PCM
wf.setframerate(16000)
wf.writeframes(pcm_data)
wav_path = Path(temp_wav.name)
with tempfile.NamedTemporaryFile(suffix='.flac', delete=False) as temp_flac:
flac_path = Path(temp_flac.name)
# Convert to 16kHz mono FLAC
subprocess.run([
'ffmpeg', '-hide_banner', '-loglevel', 'error',
'-i', str(wav_path),
'-ar', '16000', '-ac', '1', '-c:a', 'flac', '-y', str(flac_path)
], check=True)
wav_path.unlink(missing_ok=True)
return flac_path

async def speech_to_text(self, opus_data, session_id, audio_format="opus"):
# Decode opus to PCM using base class method
if audio_format == "pcm":
pcm_data = b"".join(opus_data)
else:
pcm_data = b"".join(self.decode_opus(opus_data))
flac_path = self.preprocess_audio(pcm_data)
try:
client = Groq(api_key=self.api_key)
with open(flac_path, "rb") as f:
result = client.audio.transcriptions.create(
file=("audio.flac", f, "audio/flac"),
model=self.model,
response_format="verbose_json"
)
# Handle both dict and object result
if hasattr(result, "text"):
text = result.text
elif isinstance(result, dict):
text = result.get("text", "")
else:
text = ""
return text, None
except Exception as e:
logger.bind(tag=TAG).error(f"Groq ASR error: {e}")
return "", None
finally:
flac_path.unlink(missing_ok=True)
3 changes: 2 additions & 1 deletion main/xiaozhi-server/requirements.txt
Original file line number Diff line number Diff line change
Expand Up @@ -33,4 +33,5 @@ markitdown==0.1.1
mcp-proxy==0.6.0
PyJWT==2.8.0
psutil==7.0.0
portalocker==2.10.1
portalocker==2.10.1
groq==0.28.0