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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: POST /model/iterate #109

Closed sooraj1002 closed 4 months ago

sooraj1002 commented 4 months ago

Summary by CodeRabbit

coderabbitai[bot] commented 4 months ago

[!WARNING]

Review failed

The pull request is closed.

Walkthrough

The recent changes introduce new views and functionalities for handling model iterations and health checks within the autotune module, revamp the data fetcher for language model generation in the workflow generator, and modify several views and utility functions for improved prompt and task configuration. These updates enhance the overall system's capability to manage user requests, generate model examples, and ensure system health efficiently.

Changes

File Path Change Summary
autotune/urls.py Added ModelIterationView, PingCheckView, and HealthCheckView to the URL configurations.
workflow/generator/dataFetcher.py Removed old and added new request_and_save methods with extended parameters. Updated call_llm_generate to include extra parameters for model generation.
workflow/generator/generator_model.py Introduced ModelDataFetcher class with methods for generating and refining examples using a language model, including generate_or_refine, construct_user_prompt, request_and_save, and parse_examples.
workflow/utils.py Modified get_task_config function by updating the user_prompt_template to a new template for sentence classification generation.
workflow/views.py Changed mixins order in TrainModelView and ForceAlignmentView. Added a new class ModelIterationView for custom model iteration logic.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant URLConf
    participant Views
    participant ModelDataFetcher
    participant DataFetcher

    User->>URLConf: Sends request to Model Iteration URL
    URLConf->>Views: Forwards request to ModelIterationView
    Views->>ModelDataFetcher: Initializes ModelDataFetcher
    ModelDataFetcher->>DataFetcher: Calls request_and_save method
    DataFetcher->>ModelDataFetcher: Returns data
    ModelDataFetcher->>Views: Processes data and constructs response
    Views->>User: Sends response back
sequenceDiagram
    participant User
    participant URLConf
    participant Views

    User->>URLConf: Sends health check request to PingCheckView/HealthCheckView
    URLConf->>Views: Forwards request to appropriate view
    Views->>Views: Performs health check
    Views->>User: Sends health check status

Poem

🐰

In code and scripts, our changes flow, Model iterations, health checks that glow. Fetch the data, parse with might, Train and align, bring models to light. Prompt templates we now redefine, AI grows stronger, line by line.

🚀

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