mirror of
https://github.com/bellingcat/whisperbox-transcribe.git
synced 2026-06-08 03:28:35 +03:00
91 lines
1.9 KiB
Python
91 lines
1.9 KiB
Python
import enum
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from datetime import datetime
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from typing import List, Optional
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from uuid import UUID
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from pydantic import AnyHttpUrl, BaseModel, Field
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class WithDbFields(BaseModel):
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id: UUID
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created_at: datetime
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updated_at: Optional[datetime]
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class Config:
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orm_mode = True
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class ArtifactType(str, enum.Enum):
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raw_transcript = "raw_transcript"
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class JobType(str, enum.Enum):
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transcript = "transcript"
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translation = "translation"
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language_detection = "language_detection"
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class JobStatus(str, enum.Enum):
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"""Processing status of a job."""
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create = "create"
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processing = "processing"
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error = "error"
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success = "success"
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class JobConfig(BaseModel):
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"""Configuration for a job."""
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# TODO: limit to locales selected by whisper.
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language: Optional[str] = Field(
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description=(
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"Spoken language in the media file. "
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"While optional, this can improve output."
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)
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)
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class JobMeta(BaseModel):
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"""Metadata relating to a job's execution."""
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error: Optional[str] = Field(
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description="Will contain a descriptive error message if processing failed."
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)
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task_id: Optional[UUID] = Field(
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description="Internal celery id of this job submission."
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)
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class Job(WithDbFields):
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"""A transcription job for one media file."""
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status: JobStatus
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type: JobType
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url: AnyHttpUrl
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meta: Optional[JobMeta]
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config: Optional[JobConfig]
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class RawTranscript(BaseModel):
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"""A single transcript passage returned by whisper."""
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id: int
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seek: int
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start: float
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end: float
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text: str
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tokens: List[int]
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temperature: float
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avg_logprob: float
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compression_ratio: float
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no_speech_prob: float
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class Artifact(WithDbFields):
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"""whisper output for one job."""
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data: Optional[List[RawTranscript]]
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job_id: UUID
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type: ArtifactType
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