selfhostyourtech/reflector
2
0
Fork 0
mirror of https://github.com/Monadical-SAS/reflector.git synced 2025-12-21 12:49:06 +00:00
Code Issues Packages Projects Releases Wiki Activity

gpu self hosted setup guide (no-mistakes)

Browse Source
This commit is contained in:
Igor Loskutov
2025-12-09 11:25:09 -05:00
parent 5779478d3c
commit 2b3f28993f
14 changed files with 799 additions and 26 deletions
Download Patch File Download Diff File Expand all files Collapse all files

13
gpu/modal_deployments/reflector_transcriber_parakeet.py
View File

@@ -90,6 +90,12 @@ image = (
)
# IMPORTANT: This function is duplicated in multiple files for deployment isolation.
# If you modify the audio format detection logic, you MUST update all copies:
# - gpu/self_hosted/app/utils.py
# - gpu/modal_deployments/reflector_transcriber.py (2 copies)
# - gpu/modal_deployments/reflector_transcriber_parakeet.py (this file)
# - gpu/modal_deployments/reflector_diarizer.py
def detect_audio_format(url: str, headers: Mapping[str, str]) -> AudioFileExtension:
parsed_url = urlparse(url)
url_path = parsed_url.path
@@ -105,6 +111,8 @@ def detect_audio_format(url: str, headers: Mapping[str, str]) -> AudioFileExtens
return AudioFileExtension("wav")
if "audio/mp4" in content_type:
return AudioFileExtension("mp4")
if "audio/webm" in content_type or "video/webm" in content_type:
return AudioFileExtension("webm")
raise ValueError(
f"Unsupported audio format for URL: {url}. "
@@ -301,6 +309,11 @@ class TranscriberParakeetFile:
audio_array, sample_rate = librosa.load(file_path, sr=SAMPLERATE, mono=True)
return audio_array
# IMPORTANT: This VAD segment logic is duplicated in multiple files for deployment isolation.
# If you modify this function, you MUST update all copies:
# - gpu/modal_deployments/reflector_transcriber.py
# - gpu/modal_deployments/reflector_transcriber_parakeet.py (this file)
# - gpu/self_hosted/app/services/transcriber.py
def vad_segment_generator(
audio_array,
) -> Generator[TimeSegment, None, None]: