apoorvrajdev's picture
feat(evaluation): add beam search, metrics pipeline, and stabilized training workflow
91a1214
"""Inference β€” generation algorithms and the FastAPI-friendly ``CaptionPredictor``.
The notebook generates captions through a free-floating ``generate_caption``
function that closes over global state (``caption_model``, ``tokenizer``,
``MAX_LENGTH``). We keep the same algorithm but inject those dependencies
explicitly so it works inside a long-lived process (FastAPI lifespan).
image_loader.py ``load_image_from_path`` β€” used at request time
greedy.py ``generate_caption_greedy`` β€” the notebook's argmax decode loop
predictor.py ``CaptionPredictor`` β€” singleton wrapper for the API
"""
from captioning.inference.beam import generate_caption_beam
from captioning.inference.greedy import generate_caption_greedy
from captioning.inference.image_loader import load_image_from_path
from captioning.inference.predictor import CaptionPredictor
__all__ = [
"CaptionPredictor",
"generate_caption_beam",
"generate_caption_greedy",
"load_image_from_path",
]