main.py 2.03 KB
Newer Older
1
import os
2
import logging
Timothy J. Baek's avatar
Timothy J. Baek committed
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
from fastapi import (
    FastAPI,
    Request,
    Depends,
    HTTPException,
    status,
    UploadFile,
    File,
    Form,
)
from fastapi.middleware.cors import CORSMiddleware
from faster_whisper import WhisperModel

from constants import ERROR_MESSAGES
from utils.utils import (
    decode_token,
    get_current_user,
    get_verified_user,
    get_admin_user,
)
from utils.misc import calculate_sha256

Timothy J. Baek's avatar
Timothy J. Baek committed
25
26
27
28
29
30
31
from config import (
    SRC_LOG_LEVELS,
    CACHE_DIR,
    UPLOAD_DIR,
    WHISPER_MODEL,
    WHISPER_MODEL_DIR,
)
32
33
34

log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["AUDIO"])
Timothy J. Baek's avatar
Timothy J. Baek committed
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50

app = FastAPI()
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)


@app.post("/transcribe")
def transcribe(
    file: UploadFile = File(...),
    user=Depends(get_current_user),
):
51
    log.info(f"file.content_type: {file.content_type}")
Timothy J. Baek's avatar
Timothy J. Baek committed
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67

    if file.content_type not in ["audio/mpeg", "audio/wav"]:
        raise HTTPException(
            status_code=status.HTTP_400_BAD_REQUEST,
            detail=ERROR_MESSAGES.FILE_NOT_SUPPORTED,
        )

    try:
        filename = file.filename
        file_path = f"{UPLOAD_DIR}/{filename}"
        contents = file.file.read()
        with open(file_path, "wb") as f:
            f.write(contents)
            f.close()

        model = WhisperModel(
Timothy J. Baek's avatar
refac  
Timothy J. Baek committed
68
            WHISPER_MODEL,
69
            device="auto",
Timothy J. Baek's avatar
Timothy J. Baek committed
70
            compute_type="int8",
Timothy J. Baek's avatar
refac  
Timothy J. Baek committed
71
            download_root=WHISPER_MODEL_DIR,
Timothy J. Baek's avatar
Timothy J. Baek committed
72
73
74
        )

        segments, info = model.transcribe(file_path, beam_size=5)
75
        log.info(
Timothy J. Baek's avatar
Timothy J. Baek committed
76
77
78
79
80
81
            "Detected language '%s' with probability %f"
            % (info.language, info.language_probability)
        )

        transcript = "".join([segment.text for segment in list(segments)])

82
        return {"text": transcript.strip()}
Timothy J. Baek's avatar
Timothy J. Baek committed
83
84

    except Exception as e:
85
        log.exception(e)
Timothy J. Baek's avatar
Timothy J. Baek committed
86
87
88
89
90

        raise HTTPException(
            status_code=status.HTTP_400_BAD_REQUEST,
            detail=ERROR_MESSAGES.DEFAULT(e),
        )