From e71a14c1ccefb747bec92c24fc97eb90a83ba65b Mon Sep 17 00:00:00 2001 From: Soumik Rakshit <19soumik.rakshit96@gmail.com> Date: Thu, 17 Oct 2024 08:03:52 +0000 Subject: [PATCH] fix: OpenAIJudge --- .gitignore | 3 +- .../evaluate_mllm_metric_complex.py | 5 +- hemm/eval_pipelines/eval_pipeline.py | 50 +- .../vqa/judges/mmllm_judges/openai_judge.py | 59 +- poetry.lock | 5397 +++++++++-------- pyproject.toml | 8 +- 6 files changed, 2898 insertions(+), 2624 deletions(-) diff --git a/.gitignore b/.gitignore index 798504c..f07d15c 100644 --- a/.gitignore +++ b/.gitignore @@ -166,4 +166,5 @@ dump/ **generated_images/ .ruff_cache/ **.jsonl -test.py \ No newline at end of file +test.py +inference_dataset/ \ No newline at end of file diff --git a/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py b/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py index f527c97..57494ca 100644 --- a/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py +++ b/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py @@ -21,6 +21,7 @@ def main( image_height: int = 1024, image_width: int = 1024, num_inference_steps: int = 50, + save_inference_dataset_name: Optional[str] = None, ): wandb.init(project=project, entity=entity, job_type="evaluation") weave.init(project_name=f"{entity}/{project}") @@ -36,7 +37,9 @@ def main( num_inference_steps=num_inference_steps, ) diffusion_model._pipeline.set_progress_bar_config(disable=True) - evaluation_pipeline = EvaluationPipeline(model=diffusion_model) + evaluation_pipeline = EvaluationPipeline( + model=diffusion_model, save_inference_dataset_name=save_inference_dataset_name + ) judge = OpenAIJudge( prompt_property=PromptCategory.action, openai_model=openai_judge_model diff --git a/hemm/eval_pipelines/eval_pipeline.py b/hemm/eval_pipelines/eval_pipeline.py index 5572a93..05ff9b9 100644 --- a/hemm/eval_pipelines/eval_pipeline.py +++ b/hemm/eval_pipelines/eval_pipeline.py @@ -1,14 +1,16 @@ import asyncio +import os +import shutil from abc import ABC -from typing import Dict, List, Union +from typing import Any, Dict, List, Optional, Union import wandb import weave +from PIL import Image from ..metrics.base import BaseMetric from ..models import BaseDiffusionModel, FalAIModel, StabilityAPIModel - MODEL_TYPE = Union[BaseDiffusionModel, FalAIModel, StabilityAPIModel] @@ -18,14 +20,28 @@ class EvaluationPipeline(ABC): Args: model (BaseDiffusionModel): The model to evaluate. seed (int): Seed value for the random number generator. + save_inference_dataset_name (Optional[str]): A weave dataset name which if provided will + save inference results as a separate weave dataset. """ - def __init__(self, model: MODEL_TYPE, seed: int = 42) -> None: + def __init__( + self, + model: MODEL_TYPE, + seed: int = 42, + save_inference_dataset_name: Optional[str] = None, + ) -> None: super().__init__() self.model = model self.image_size = (self.model.image_height, self.model.image_width) self.seed = seed + self.save_inference_dataset_name = save_inference_dataset_name + + if self.save_inference_dataset_name: + os.makedirs( + os.path.join("inference_dataset", self.save_inference_dataset_name), + exist_ok=True, + ) self.inference_counter = 1 self.table_columns = ["model", "prompt", "generated_image"] @@ -73,6 +89,14 @@ def infer(self, prompt: str) -> Dict[str, str]: self.table_rows.append( [self.model.diffusion_model_name_or_path, prompt, output["image"]] ) + if self.save_inference_dataset_name: + output["image"].save( + os.path.join( + "inference_dataset", + self.save_inference_dataset_name, + f"{self.inference_counter - 1}.png", + ) + ) return output @weave.op() @@ -107,6 +131,24 @@ def log_summary(self, summary: Dict[str, float]) -> None: } ) + def save_inference_results(self, dataset: Any): + inference_dataset_rows = [] + for idx, row in enumerate(dataset): + generated_image = Image.open( + os.path.join( + "inference_dataset", self.save_inference_dataset_name, f"{idx}.png" + ) + ) + inference_dataset_rows.append( + {"generated_image": generated_image, "seed": self.seed, **dict(row)} + ) + weave.publish( + weave.Dataset( + name=self.save_inference_dataset_name, rows=inference_dataset_rows + ) + ) + shutil.rmtree("inference_dataset") + def __call__( self, dataset: Union[List[Dict], str], async_infer: bool = False ) -> Dict[str, float]: @@ -128,4 +170,6 @@ def __call__( self.model.configs.update(self.evaluation_configs) summary = asyncio.run(evaluation.evaluate(self.infer_async)) self.log_summary(summary) + if self.save_inference_dataset_name: + self.save_inference_results(dataset=dataset) return summary diff --git a/hemm/metrics/vqa/judges/mmllm_judges/openai_judge.py b/hemm/metrics/vqa/judges/mmllm_judges/openai_judge.py index c340058..b3fbd75 100644 --- a/hemm/metrics/vqa/judges/mmllm_judges/openai_judge.py +++ b/hemm/metrics/vqa/judges/mmllm_judges/openai_judge.py @@ -2,20 +2,14 @@ import subprocess from typing import List -import instructor import spacy import weave from openai import OpenAI from PIL import Image from pydantic import BaseModel -from .commons import ( - PromptCategory, - TaggedPromptParts, - JudgeMent, - JudgeQuestion, -) from .....utils import base64_encode_image +from .commons import JudgeMent, JudgeQuestion, PromptCategory, TaggedPromptParts class OpenAIJudgeMent(BaseModel): @@ -48,14 +42,13 @@ class OpenAIJudge(weave.Model): seed: int _nlp_pipeline: spacy.Language = None _openai_client: OpenAI = None - _instructor_openai_client: instructor.Instructor = None _total_score: int = 4 def __init__( self, prompt_pipeline: str = "en_core_web_sm", prompt_property: PromptCategory = PromptCategory.color, - openai_model: str = "gpt-4-turbo", + openai_model: str = "gpt-4o-2024-08-06", max_retries: int = 5, seed: int = 42, ): @@ -69,9 +62,6 @@ def __init__( subprocess.run(["spacy", "download", "en_core_web_sm"]) self._nlp_pipeline = spacy.load(self.prompt_pipeline) self._openai_client = OpenAI(api_key=os.environ["OPENAI_API_KEY"]) - self._instructor_openai_client = instructor.from_openai( - OpenAI(api_key=os.environ["OPENAI_API_KEY"]) - ) @weave.op() def extract_prompt_parts(self, prompt: str) -> List[TaggedPromptParts]: @@ -318,27 +308,30 @@ def execute_chain_of_thought( Provide your analysis and explanation to justify the score. """ - judgement_response = self._instructor_openai_client.chat.completions.create( - model=self.openai_model, - response_model=JudgeMent, - max_retries=self.max_retries, - seed=self.seed, - messages=[ - { - "role": "system", - "content": question.judgement_question_system_prompt, - }, - { - "role": "user", - "content": [ - {"type": "text", "text": question.judgement_question}, - { - "type": "image_url", - "image_url": {"url": base64_encode_image(image)}, - }, - ], - }, - ], + judgement_response = ( + self._openai_client.beta.chat.completions.parse( + model=self.openai_model, + response_format=JudgeMent, + seed=self.seed, + messages=[ + { + "role": "system", + "content": question.judgement_question_system_prompt, + }, + { + "role": "user", + "content": [ + {"type": "text", "text": question.judgement_question}, + { + "type": "image_url", + "image_url": {"url": base64_encode_image(image)}, + }, + ], + }, + ], + ) + .choices[0] + .message.parsed ) return judgement_response diff --git a/poetry.lock b/poetry.lock index e33bbe5..275d828 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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