215b540f6c
* Image scale moved to base vlm options. Added max_size image limit (options and vlm models). * DCO Remediation Commit for Shkarupa Alex <shkarupa.alex@gmail.com> I, Shkarupa Alex <shkarupa.alex@gmail.com>, hereby add my Signed-off-by to this commit: e93602a0d02fdb6f6dea1f65686cffcc4c616011 Signed-off-by: Shkarupa Alex <shkarupa.alex@gmail.com> --------- Signed-off-by: Shkarupa Alex <shkarupa.alex@gmail.com>
74 lines
2.8 KiB
Python
74 lines
2.8 KiB
Python
from collections.abc import Iterable
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from concurrent.futures import ThreadPoolExecutor
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from docling.datamodel.base_models import Page, VlmPrediction
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from docling.datamodel.document import ConversionResult
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from docling.datamodel.pipeline_options_vlm_model import ApiVlmOptions
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from docling.exceptions import OperationNotAllowed
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from docling.models.base_model import BasePageModel
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from docling.utils.api_image_request import api_image_request
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from docling.utils.profiling import TimeRecorder
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class ApiVlmModel(BasePageModel):
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def __init__(
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self,
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enabled: bool,
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enable_remote_services: bool,
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vlm_options: ApiVlmOptions,
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):
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self.enabled = enabled
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self.vlm_options = vlm_options
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if self.enabled:
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if not enable_remote_services:
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raise OperationNotAllowed(
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"Connections to remote services is only allowed when set explicitly. "
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"pipeline_options.enable_remote_services=True, or using the CLI "
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"--enable-remote-services."
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)
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self.timeout = self.vlm_options.timeout
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self.concurrency = self.vlm_options.concurrency
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self.prompt_content = (
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f"This is a page from a document.\n{self.vlm_options.prompt}"
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)
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self.params = {
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**self.vlm_options.params,
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"temperature": 0,
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}
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def __call__(
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self, conv_res: ConversionResult, page_batch: Iterable[Page]
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) -> Iterable[Page]:
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def _vlm_request(page):
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assert page._backend is not None
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if not page._backend.is_valid():
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return page
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else:
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with TimeRecorder(conv_res, "vlm"):
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assert page.size is not None
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hi_res_image = page.get_image(
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scale=self.vlm_options.scale, max_size=self.vlm_options.max_size
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)
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assert hi_res_image is not None
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if hi_res_image:
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if hi_res_image.mode != "RGB":
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hi_res_image = hi_res_image.convert("RGB")
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page_tags = api_image_request(
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image=hi_res_image,
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prompt=self.prompt_content,
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url=self.vlm_options.url,
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timeout=self.timeout,
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headers=self.vlm_options.headers,
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**self.params,
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)
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page.predictions.vlm_response = VlmPrediction(text=page_tags)
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return page
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with ThreadPoolExecutor(max_workers=self.concurrency) as executor:
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yield from executor.map(_vlm_request, page_batch)
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