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Image Caption accepts bytes for images (#12561)

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Accept bytes for images in image caption

---------

Co-authored-by: webcoderz <19884161+webcoderz@users.noreply.github.com>
This commit is contained in:
Eugene Yurtsev 2023-10-30 12:29:54 -04:00 committed by GitHub
parent 7897483819
commit 1b1a2d5740
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1 changed files with 29 additions and 23 deletions
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52
libs/langchain/langchain/document_loaders/image_captions.py
View File

@ -1,3 +1,4 @@
from io import BytesIO
from typing import Any, List, Tuple, Union
import requests
@ -16,30 +17,28 @@ class ImageCaptionLoader(BaseLoader):
def __init__(
self,
path_images: Union[str, List[str]],
images: Union[str, bytes, List[Union[str, bytes]]],
blip_processor: str = "Salesforce/blip-image-captioning-base",
blip_model: str = "Salesforce/blip-image-captioning-base",
):
"""
Initialize with a list of image paths
"""Initialize with a list of image data (bytes) or file paths
Args:
path_images: A list of image paths.
images: Either a single image or a list of images. Accepts
image data (bytes) or file paths to images.
blip_processor: The name of the pre-trained BLIP processor.
blip_model: The name of the pre-trained BLIP model.
"""
if isinstance(path_images, str):
self.image_paths = [path_images]
if isinstance(images, (str, bytes)):
self.images = [images]
else:
self.image_paths = path_images
self.images = images
self.blip_processor = blip_processor
self.blip_model = blip_model
def load(self) -> List[Document]:
"""
Load from a list of image files
"""
"""Load from a list of image data or file paths"""
try:
from transformers import BlipForConditionalGeneration, BlipProcessor
except ImportError:
@ -52,9 +51,9 @@ class ImageCaptionLoader(BaseLoader):
model = BlipForConditionalGeneration.from_pretrained(self.blip_model)
results = []
for path_image in self.image_paths:
for image in self.images:
caption, metadata = self._get_captions_and_metadata(
model=model, processor=processor, path_image=path_image
model=model, processor=processor, image=image
)
doc = Document(page_content=caption, metadata=metadata)
results.append(doc)
@ -62,11 +61,9 @@ class ImageCaptionLoader(BaseLoader):
return results
def _get_captions_and_metadata(
self, model: Any, processor: Any, path_image: str
self, model: Any, processor: Any, image: Union[str, bytes]
) -> Tuple[str, dict]:
"""
Helper function for getting the captions and metadata of an image
"""
"""Helper function for getting the captions and metadata of an image."""
try:
from PIL import Image
except ImportError:
@ -74,20 +71,29 @@ class ImageCaptionLoader(BaseLoader):
"`PIL` package not found, please install with `pip install pillow`"
)
image_source = image # Save the original source for later reference
try:
if path_image.startswith("http://") or path_image.startswith("https://"):
image = Image.open(requests.get(path_image, stream=True).raw).convert(
"RGB"
)
if isinstance(image, bytes):
image = Image.open(BytesIO(image)).convert("RGB")
elif image.startswith("http://") or image.startswith("https://"):
image = Image.open(requests.get(image, stream=True).raw).convert("RGB")
else:
image = Image.open(path_image).convert("RGB")
image = Image.open(image).convert("RGB")
except Exception:
raise ValueError(f"Could not get image data for {path_image}")
if isinstance(image_source, bytes):
msg = "Could not get image data from bytes"
else:
msg = f"Could not get image data for {image_source}"
raise ValueError(msg)
inputs = processor(image, "an image of", return_tensors="pt")
output = model.generate(**inputs)
caption: str = processor.decode(output[0])
metadata: dict = {"image_path": path_image}
if isinstance(image_source, bytes):
metadata: dict = {"image_source": "Image bytes provided"}
else:
metadata = {"image_path": image_source}
return caption, metadata