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@ -31,8 +31,8 @@ ENV SCARF_NO_ANALYTICS true
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ENV DO_NOT_TRACK true
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#Whisper TTS Settings
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ENV WHISPER_DIR="/app/backend/data/cache/whisper/models"
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ENV WHISPER_MODEL="base"
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ENV WHISPER_MODEL_DIR="/app/backend/data/cache/whisper/models"
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WORKDIR /app/backend
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@ -49,7 +49,7 @@ RUN apt-get update \
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&& rm -rf /var/lib/apt/lists/*
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# RUN python -c "from sentence_transformers import SentenceTransformer; model = SentenceTransformer('all-MiniLM-L6-v2')"
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RUN python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_DIR'])"
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RUN python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"
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# copy embedding weight from build
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@ -21,7 +21,7 @@ from utils.utils import (
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)
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from utils.misc import calculate_sha256
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from config import CACHE_DIR, UPLOAD_DIR, WHISPER_MODEL_NAME
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from config import CACHE_DIR, UPLOAD_DIR, WHISPER_MODEL, WHISPER_MODEL_DIR
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app = FastAPI()
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app.add_middleware(
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@ -54,14 +54,11 @@ def transcribe(
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f.write(contents)
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f.close()
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model_name = os.getenv('WHISPER_MODEL', WHISPER_MODEL_NAME)
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download_root = os.getenv('WHISPER_DIR', f"{CACHE_DIR}/whisper/models")
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model = WhisperModel(
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model_name,
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WHISPER_MODEL,
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device="cpu",
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compute_type="int8",
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download_root=download_root,
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download_root=WHISPER_MODEL_DIR,
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)
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segments, info = model.transcribe(file_path, beam_size=5)
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@ -136,4 +136,6 @@ CHUNK_OVERLAP = 100
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####################################
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# Transcribe
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####################################
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WHISPER_MODEL_NAME = "base"
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WHISPER_MODEL = os.getenv("WHISPER_MODEL", "base")
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WHISPER_MODEL_DIR = os.getenv("WHISPER_MODEL_DIR", f"{CACHE_DIR}/whisper/models")
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