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docker improvements & changed universal device type env for different models used

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This commit is contained in:
Jannik Streidl 2024-03-20 08:44:09 +01:00
parent 132d741c55
commit 1f6739337b
4 changed files with 36 additions and 19 deletions
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8
backend/apps/audio/main.py
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@ -21,7 +21,11 @@ from utils.utils import (
)
from utils.misc import calculate_sha256
from config import CACHE_DIR, UPLOAD_DIR, WHISPER_MODEL, WHISPER_MODEL_DIR
from config import CACHE_DIR, UPLOAD_DIR, WHISPER_MODEL, WHISPER_MODEL_DIR, DEVICE_TYPE
if DEVICE_TYPE != "cuda":
whisper_device_type = "cpu"
app = FastAPI()
app.add_middleware(
@ -56,7 +60,7 @@ def transcribe(
model = WhisperModel(
WHISPER_MODEL,
device="auto",
device=whisper_device_type,
compute_type="int8",
download_root=WHISPER_MODEL_DIR,
)

6
backend/apps/rag/main.py
View file

@ -57,7 +57,7 @@ from config import (
UPLOAD_DIR,
DOCS_DIR,
RAG_EMBEDDING_MODEL,
RAG_EMBEDDING_MODEL_DEVICE_TYPE,
DEVICE_TYPE,
CHROMA_CLIENT,
CHUNK_SIZE,
CHUNK_OVERLAP,
@ -87,7 +87,7 @@ app.state.TOP_K = 4
app.state.sentence_transformer_ef = (
embedding_functions.SentenceTransformerEmbeddingFunction(
model_name=app.state.RAG_EMBEDDING_MODEL,
device=RAG_EMBEDDING_MODEL_DEVICE_TYPE,
device=DEVICE_TYPE,
)
)
@ -175,7 +175,7 @@ async def update_embedding_model(
app.state.sentence_transformer_ef = (
embedding_functions.SentenceTransformerEmbeddingFunction(
model_name=app.state.RAG_EMBEDDING_MODEL,
device=RAG_EMBEDDING_MODEL_DEVICE_TYPE,
device=DEVICE_TYPE,
)
)