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fix: Xinference STT failed: INVALID (#4231)

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* Update xinference_stt_provider.py

* chore: ruff format

---------

Co-authored-by: Soulter <905617992@qq.com>
This commit is contained in:
simplify123
2025-12-28 14:42:06 +08:00
committed by GitHub
parent fb4baf676f
commit f51810997a
1 changed files with 24 additions and 12 deletions
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astrbot/core/provider/sources/xinference_stt_provider.py
+24 -12
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@@ -8,7 +8,10 @@ from xinference_client.client.restful.async_restful_client import (
from astrbot.core import logger
from astrbot.core.utils.astrbot_path import get_astrbot_data_path
from astrbot.core.utils.tencent_record_helper import tencent_silk_to_wav
from astrbot.core.utils.tencent_record_helper import (
convert_to_pcm_wav,
tencent_silk_to_wav,
)
from ..entities import ProviderType
from ..provider import STTProvider
@@ -111,17 +114,22 @@ class ProviderXinferenceSTT(STTProvider):
return ""
# 2. Check for conversion
needs_conversion = False
if (
audio_url.endswith((".amr", ".silk"))
or is_tencent
or b"SILK" in audio_bytes[:8]
):
needs_conversion = True
conversion_type = None
if b"SILK" in audio_bytes[:8]:
conversion_type = "silk"
elif b"#!AMR" in audio_bytes[:6]:
conversion_type = "amr"
elif audio_url.endswith(".silk") or is_tencent:
conversion_type = "silk"
elif audio_url.endswith(".amr"):
conversion_type = "amr"
# 3. Perform conversion if needed
if needs_conversion:
logger.info("Audio requires conversion, using temporary files...")
if conversion_type:
logger.info(
f"Audio requires conversion ({conversion_type}), using temporary files..."
)
temp_dir = os.path.join(get_astrbot_data_path(), "temp")
os.makedirs(temp_dir, exist_ok=True)
@@ -132,8 +140,12 @@ class ProviderXinferenceSTT(STTProvider):
with open(input_path, "wb") as f:
f.write(audio_bytes)
logger.info("Converting silk/amr file to wav ...")
await tencent_silk_to_wav(input_path, output_path)
if conversion_type == "silk":
logger.info("Converting silk to wav ...")
await tencent_silk_to_wav(input_path, output_path)
elif conversion_type == "amr":
logger.info("Converting amr to wav ...")
await convert_to_pcm_wav(input_path, output_path)
with open(output_path, "rb") as f:
audio_bytes = f.read()