BharatSahAIyak / autotune

A comprehensive toolkit for seamless data generation and fine-tuning of NLP models, all conveniently packed into a single block.
MIT License
9 stars 5 forks source link

feat: setup base for whisper onboarding #124

Closed sooraj1002 closed 4 months ago

sooraj1002 commented 4 months ago

Summary by CodeRabbit

coderabbitai[bot] commented 4 months ago

[!CAUTION]

Review failed

The pull request is closed.

Walkthrough

The recent changes involve adding support for a new task type, "whisper_finetuning," to the workflow system. This includes updating the dispatch method to handle the new task type, adding the task type to the serializer choices, and defining the relevant configurations and mappings for "whisper_finetuning" in utility functions.

Changes

Files Change Summary
workflow/mixins.py Added condition to handle task_type == "whisper_finetuning" and set request.META["workflow_id"].
workflow/serializers.py Included whisper_finetuning in the task_type choices of the ModelDataSerializer class.
workflow/utils.py Added configuration and mapping for whisper_finetuning in get_task_config and get_task_mapping functions.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant Dispatch
    participant Serializer
    participant Utils

    User->>Dispatch: Initiate task (whisper_finetuning)
    Dispatch->>Serializer: Validate task type
    Serializer-->>Dispatch: Task type valid
    Dispatch->>Dispatch: Set request.META["workflow_id"]
    Dispatch->>Utils: Get task config
    Utils-->>Dispatch: Return whisper_finetuning config
    Dispatch->>User: Proceed with whisper_finetuning workflow

Poem

In the land of code we see, A whisper tuned so fine and free, New task type in the serializer's hand, Mapped with care, so grand. Hurray for updates swift and bright, A coder's dream, a feature's light! 🌟


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