reworking with changes in alttext

pull/19/head
kethan351 2024-03-07 16:32:11 -05:00
parent 075914cafd
commit bedb524546
11 changed files with 983 additions and 30 deletions

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@ -6,9 +6,10 @@ import bs4
import ebooklib
from ebooklib import epub
from .descengine import DescEngine
from .ocrengine import OCREngine
from .langengine import LangEngine
from descengine import DescEngine
from ocrengine import OCREngine
from langengine import LangEngine
DEFOPTIONS = {
@ -83,7 +84,7 @@ class AltText(ABC):
# PARSING METHODS
@abstractmethod
def parse(self, data: str) -> typing.Union[bs4.BeautifulSoup, epub.EpubBook]:
def parse(self, data: str) -> bs4.BeautifulSoup | epub.EpubBook:
"""Parses data into a BeautifulSoup or EpubBook object.
Args:
@ -95,7 +96,7 @@ class AltText(ABC):
pass
@abstractmethod
def parseFile(self, filepath: str) -> typing.Union[bs4.BeautifulSoup, epub.EpubBook]:
def parseFile(self, filepath: str) -> bs4.BeautifulSoup | epub.EpubBook:
"""Parses data from a file into a BeautifulSoup or EpubBook object.
Args:
@ -162,7 +163,7 @@ class AltText(ABC):
pass
@abstractmethod
def export(self) -> typing.Union[str, epub.EpubBook]:
def export(self) -> str | epub.EpubBook:
"""Exports the current data.
Returns:
@ -428,8 +429,8 @@ class AltTextHTML(AltText):
def parseFile(self, filepath: str) -> bs4.BeautifulSoup:
with open(filepath, encoding="utf8") as html:
self.filepath = filepath
l = filepath.split("/")
self.filepath = filepath.replace("\\", "/")
l = self.filepath.split("/")
self.filename = l.pop()
self.filedir = "/".join(l) + "/"
return self.parse(html)
@ -516,20 +517,17 @@ class AltTextHTML(AltText):
text = elem.text.strip()
context[0] = text
except:
print("error 0")
context[0] = None
elem = tag
text = ""
try:
text = elem.text.strip()
while text == "":
elem = elem.previous_element
elem = elem.next_element
text = elem.text.strip()
context[1] = text
except:
print("error 1")
context[1] = None
print(context)
return context
def genChars(self, imgData: bytes, src: str) -> str:
@ -564,7 +562,6 @@ class AltTextHTML(AltText):
if self.options["withContext"]:
context = self.getContext(self.getImg(src))
desc = self.genDesc(imgdata, src, context)
chars = ""
if self.ocrEngine != None:
chars = self.genChars(imgdata, src).strip()
@ -684,4 +681,4 @@ class AltTextEPUB(AltText):
def exportToFile(self, path: str) -> str:
epub.write_epub(path, self.export())
return path
return path

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@ -0,0 +1,29 @@
import os
import shutil
import subprocess
import uuid
from .descengine import DescEngine
class BlipLocal(DescEngine):
def __init__(self, path: str) -> None:
self.__setPath(path)
return None
def __setPath(self, path: str) -> str:
self.path = path
return self.path
def genDesc(self, imgData: bytes, src: str, context: str = None) -> str:
folderName = uuid.uuid4()
ext = src.split(".")[-1]
os.makedirs(f"{self.path}/{folderName}")
open(f"{self.path}/{folderName}/image.{ext}", "wb+").write(imgData)
subprocess.call(
f"py inference.py -i ./{folderName} --batch 1 --gpu 0",
cwd=f"{self.path}",
)
desc = open(f"{self.path}/{folderName}/0_captions.txt", "r").read()
shutil.rmtree(f"{self.path}/{folderName}")
desc = desc.split(",")
return desc[1]

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@ -0,0 +1,37 @@
import os
import vertexai
from vertexai.vision_models import ImageTextModel, Image
from .descengine import DescEngine
class GoogleVertexAPI(DescEngine):
def __init__(self, project_id: str, location: str, gac_path: str) -> None:
self.project_id = project_id
self.location = location
vertexai.init(project=self.project_id, location=self.location)
self.gac_path = gac_path
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = self.gac_path
return None
def __setProject(self, project_id: str):
self.project_id = project_id
vertexai.init(project=self.project_id, location=self.location)
def __setLocation(self, location: str):
self.location = location
vertexai.init(project=self.project_id, location=self.location)
def __setGAC(self, gac_path: str):
self.gac_path = gac_path
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = self.gac_path
def genDesc(self, imgData: bytes, src: str, context: str = None) -> str:
model = ImageTextModel.from_pretrained("imagetext@001")
source_image = Image(imgData)
captions = model.get_captions(
image=source_image,
number_of_results=1,
language="en",
)
return captions[0]

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@ -0,0 +1,51 @@
import replicate
import base64
import os
from .descengine import DescEngine
REPLICATE_MODELS = {
"blip": "salesforce/blip:2e1dddc8621f72155f24cf2e0adbde548458d3cab9f00c0139eea840d0ac4746",
"clip_prefix_caption": "rmokady/clip_prefix_caption:9a34a6339872a03f45236f114321fb51fc7aa8269d38ae0ce5334969981e4cd8",
"clip-caption-reward": "j-min/clip-caption-reward:de37751f75135f7ebbe62548e27d6740d5155dfefdf6447db35c9865253d7e06",
"img2prompt": "methexis-inc/img2prompt:50adaf2d3ad20a6f911a8a9e3ccf777b263b8596fbd2c8fc26e8888f8a0edbb5",
"minigpt4": "daanelson/minigpt-4:b96a2f33cc8e4b0aa23eacfce731b9c41a7d9466d9ed4e167375587b54db9423",
"image-captioning-with-visual-attention": "nohamoamary/image-captioning-with-visual-attention:9bb60a6baa58801aa7cd4c4fafc95fcf1531bf59b84962aff5a718f4d1f58986",
}
class ReplicateAPI(DescEngine):
def __init__(self, key: str, model: str = "blip") -> None:
self.__setKey(key)
self.__setModel(model)
return None
def __getModel(self) -> str:
return self.model
def __setModel(self, modelName: str) -> str:
if modelName not in REPLICATE_MODELS:
raise Exception(
f"{modelName} is not a valid model. Please choose from {list(REPLICATE_MODELS.keys())}"
)
self.model = REPLICATE_MODELS[modelName]
return self.model
def __getKey(self) -> str:
return self.key
def __setKey(self, key: str) -> str:
self.key = key
os.environ["REPLICATE_API_TOKEN"] = key
return self.key
def genDesc(self, imgData: bytes, src: str, context: str = None) -> str:
base64_utf8_str = base64.b64encode(imgData).decode("utf-8")
model = self.__getModel()
ext = src.split(".")[-1]
prompt = "Create alternative-text for this image."
if context != None:
prompt = f"Create alternative-text for this image given the following context...\n{context}"
dataurl = f"data:image/{ext};base64,{base64_utf8_str}"
output = replicate.run(model, input={"image": dataurl, "prompt": prompt})
return output

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@ -0,0 +1,119 @@
import requests
from .langengine import LangEngine
class PrivateGPT(LangEngine):
def __init__(self, host) -> None:
self.host = host
def __setHost(self, host) -> bool:
self.host = host
return True
def _completion(self, prompt: str) -> str:
body = {
"include_sources": False,
"prompt": prompt,
"stream": False,
"use_context": False,
}
r = requests.post(f"{self.host}/v1/completions", json=body)
r = r.json()
return r["choices"][0]["message"]["content"].strip()
def refineDesc(self, description: str) -> str:
prompt = f"""The following string surrounded with '///' was generated by an Image Captioning AI when ran on some arbitrary image.
///{description}///
Your goal is to refine the string to be inserted as alt-text for an image in an Ebook.
Here are guidelines to follow...
1. Prioritize information in text alternative:
Aim to put the most important information at the beginning.
2. Length of the text alternative:
The alt text should be the most concise description possible of the image's purpose. If anything more than a short phrase or sentence is needed, it would be better to use one of the long description methods discussed in complex images.
3. Superfluous information in the text alternative:
Usually, there's no need to include words like “image”, “icon”, or “picture” in the alt text. People who can see will know this already, and screen readers announce the presence of an image. In some situations, it may be important to distinguish between paintings, photographs, or illustrations, etc., but it's best to avoid the more generic use of the terms.
Format your response as...
The refined string is: <refined_string>
If the string is empty, simply respond with...
The refined string is: N/A"""
return self._completion(prompt)
def refineOCR(self, chars: str) -> str:
prompt = f"""The following string surrounded with '///' was generated by an Optical Character Recognition software when ran on some arbitrary image.
///
{chars}
///
Your goal is to refine the string.
There may be random/excess spaces or other characters in the string, please remove them.
Do not surround the refined string in quotation marks.
Format your response as...
The refined string is: <refined_string>
If the string is empty, simply respond with...
The refined string is: N/A"""
return self._completion(prompt)
def genPrompt(self, desc: str, chars: str, context: list[str], caption: str) -> str:
ocr = ""
if chars != None and chars != "":
ocr = f"\nThe following string surrounded with '///' was generated by an Optical Character Recognition software when ran on the image.\n///{chars}///"
before = ""
if context[0] != None and context[0] != "":
before = f"\nThe following string surrounded with '///' is the nearest text found before the image.\n///{context[0]}///"
after = ""
if context[1] != None and context[1] != "":
after = f"\nThe following string surrounded with '///' is the nearest text found after the image.\n///{context[1]}///"
cap = ""
if caption != None and caption != "":
cap = f"\nThe following string surrounded with '///' is a caption in the Ebook for the image.\n///{caption}///"
prompt = f"""There following information is regarding an image found in an Ebook with no alternative-text.
The following string surrounded with '///' was generated by an Image Captioning AI when ran on the image.
///{desc}///{ocr}{cap}{before}{after}
Your goal is to create alternative-text for the image given the prior information.
Here are guidelines to follow to create quality alt-text...
1. Prioritize information in text alternative:
Aim to put the most important information at the beginning.
2. Length of the text alternative:
The alt text should be the most concise description possible of the image's purpose. If anything more than a short phrase or sentence is needed, it would be better to use one of the long description methods discussed in complex images.
3. Superfluous information in the text alternative:
Usually, there's no need to include words like “image”, “icon”, or “picture” in the alt text. People who can see will know this already, and screen readers announce the presence of an image. In some situations, it may be important to distinguish between paintings, photographs, or illustrations, etc., but it's best to avoid the more generic use of the terms.
Using all of the information stated, please generate alt-text for the image.
In your response, please only give the alt-text."""
return prompt
def refineAlt(
self,
desc: str,
chars: str = None,
context: list[str] = None,
caption: str = None,
) -> str:
prompt = self.genPrompt(
desc,
chars,
context,
caption,
)
return self._completion(prompt)
def ingest(self, filename: str, binary) -> bool:
ext = filename.split(".")[1]
files = {"file": (filename, binary, f"application/{ext}")}
headers = {"accept": "application/json"}
r = requests.post(f"{self.host}/v1/ingest", files=files, headers=headers)
return True
def degest(self, filename: str) -> bool:
headers = {"accept": "application/json"}
r = requests.delete(f"{self.host}/v1/ingest/{filename}", headers=headers)
return True

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@ -0,0 +1,20 @@
from PIL import Image
from io import BytesIO
import pytesseract
from .ocrengine import OCREngine
class Tesseract(OCREngine):
def __init__(self, path:str = None) -> None:
if (path != None):
self._setTesseract(path)
return None
def _setTesseract(self, path: str) -> bool:
self.customPath = path
pytesseract.pytesseract.tesseract_cmd = path
return True
def genChars(self, imgData: bytes, src: str, context: str = None) -> str:
image = Image.open(BytesIO(imgData))
return pytesseract.image_to_string(image)

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@ -0,0 +1,687 @@
from abc import ABC, abstractmethod
import typing
from threading import Thread
import bs4
import ebooklib
from ebooklib import epub
from .descengine import DescEngine
from .ocrengine import OCREngine
from .langengine import LangEngine
DEFOPTIONS = {
"withContext": True,
"withHash": True,
"multiThreaded": True,
"version": 2,
}
### ALTTEXT CLASSES
class AltText(ABC):
@abstractmethod
def setDescEngine(self, descEngine: DescEngine) -> bool:
"""Sets current description engine.
Args:
descEngine (DescEngine): A description engine.
Returns:
bool: True if successful.
"""
pass
@abstractmethod
def setOCREngine(self, ocrEngine: OCREngine) -> bool:
"""Sets current OCR engine.
Args:
ocrEngine (OCREngine): An OCR engine.
Returns:
bool: True if successful.
"""
pass
@abstractmethod
def setLangEngine(self, langEngine: LangEngine) -> bool:
"""Sets current language engine.
Args:
langEngine (LangEngine): A language engine.
Returns:
bool: True if successful.
"""
pass
@abstractmethod
def setOptions(self, options: dict) -> bool:
"""Sets current options.
Args:
options (dict): A subset of DEFOPTIONS. See DEFOPTIONS constant for possible fields.
Returns:
bool: True if successful.
"""
pass
@abstractmethod
def checkData(self) -> bool:
"""Checks if current data exists.
Returns:
bool: True if data exists.
Raises:
Exception: If no data exists.
"""
pass
# PARSING METHODS
@abstractmethod
def parse(self, data: str) -> typing.Union[bs4.BeautifulSoup, epub.EpubBook]:
"""Parses data into a BeautifulSoup or EpubBook object.
Args:
data (str): HTML or EPUB data.
Returns:
bs4.BeautifulSoup | epub.EpubBook: The BeautifulSoup or EpubBook object stored in self.data.
"""
pass
@abstractmethod
def parseFile(self, filepath: str) -> typing.Union[bs4.BeautifulSoup, epub.EpubBook]:
"""Parses data from a file into a BeautifulSoup or EpubBook object.
Args:
filepath (str): Path to HTML or EPUB file.
Returns:
bs4.BeautifulSoup | epub.EpubBook: The BeautifulSoup or EpubBook object stored in self.data.
"""
pass
@abstractmethod
def getAllImgs(self) -> typing.List[bs4.element.Tag]:
"""Gets all img tags.
Returns:
typing.List[bs4.element.Tag]: A list of img tags.
"""
pass
@abstractmethod
def getNoAltImgs(self) -> typing.List[bs4.element.Tag]:
"""Gets all img tags that either do not have an alt attribute or alt.strip() is an empty string.
Returns:
typing.List[bs4.element.Tag]: A list of img tags.
"""
pass
@abstractmethod
def getImg(self, src: str) -> bs4.element.Tag:
"""Gets an img tag given a src.
Args:
src (str): Image source.
Returns:
bs4.element.Tag: An img tag.
"""
pass
@abstractmethod
def setAlt(self, src: str, text: str) -> bs4.element.Tag:
"""Sets the alt of an img tag given a src.
Args:
src (str): Image source.
text (str): New alt-text.
Returns:
bs4.element.Tag: Newly modified img tag.
"""
pass
@abstractmethod
def setAlts(self, associations: list[dict]) -> list[bs4.element.Tag]:
"""Sets the alt of multiple img tags given a list of associations.
Args:
associations (list[dict]): A list of associations. Must have keys "src" and "alt".
Returns:
list[bs4.element.Tag]: A list of newly modified img tags.
"""
pass
@abstractmethod
def export(self) -> typing.Union[str, epub.EpubBook]:
"""Exports the current data.
Returns:
str | epub.EpubBook: A string of HTML or an epub.EpubBook object.
"""
pass
@abstractmethod
def exportToFile(self, path: str) -> str:
"""Exports the current data to a file.
Args:
path (str): A path to the file to be written.
Returns:
str: The path to the file written.
"""
pass
# GENERATIVE METHODS
@abstractmethod
def ingest(self) -> bool:
"""Uploads the current data and to the language engine for ingestion.
This allows the language engine to reference the current data as a document.
Returns:
bool: True if successful.
Raises:
Exception: If no langEngine is set.
"""
pass
@abstractmethod
def degest(self) -> bool:
"""Deletes the current data from the language engine.
Returns:
bool: True if successful.
Raises:
Exception: If no langEngine is set.
"""
pass
@abstractmethod
def getImgData(self, src: str) -> bytes:
"""Gets byte data of an image given a src.
Args:
src (str): Image source.
Returns:
bytes: Image data as bytes.
"""
pass
@abstractmethod
def getContext(self, tag: bs4.Tag) -> list[str]:
"""Gets the context of an img tag.
Context being the text immediately before and after the img tag.
Args:
tag (bs4.Tag): The img tag to get context for.
Returns:
list[str]: A list of length 2. The first element is the text immediately before the img tag. The second element is the text immediately after the img tag.
"""
pass
@abstractmethod
def genChars(self, imgData: bytes, src: str) -> str:
"""Searches for characters in an image.
Args:
imgData (bytes): Image data as bytes.
src (str): Source of the image.
Returns:
str: String of characters found in the image.
"""
pass
@abstractmethod
def genDesc(self, imgData: bytes, src: str, context: str = None) -> str:
"""Generates a description of an image.
Args:
imgData (bytes): Image data as bytes.
src (str): Source of the image.
context (str, optional): Context for an image. See getContext for more information. Defaults to None.
Returns:
str: Description of the image.
"""
pass
@abstractmethod
def genAltTextV1(self, src: str) -> str:
"""Generates alt-text for an image given its source.
Uses V1 Dataflow model. This means the description and characters are generated and optionally refined separately.
Args:
src (str): Source of the image.
Returns:
str: Generated alt-text for the image.
"""
pass
@abstractmethod
def genAltTextV2(self, src: str) -> str:
"""Generates alt-text for an image given its source.
Uses V2 Dataflow model. This means the description and characters are generated and then alt-text is generated using both pieces of information.
Args:
src (str): Source of the image.
Returns:
str: Generated alt-text for the image.
"""
pass
@abstractmethod
def genAltText(self, src: str) -> str:
"""Generates alt-text for an image given its source and current options.
Args:
src (str): Source of the image.
Returns:
str: Generated alt-text for the image.
"""
pass
@abstractmethod
def genAssociation(
self,
tag: bs4.element.Tag,
) -> dict:
"""Generates alt-text and returns an association given an img tag and current options.
Args:
tag (bs4.element.Tag): Image tag to make an association for.
Returns:
dict: The association. Must have keys "src" and "alt". If "withHash" is True, must also have key "hash".
"""
pass
@abstractmethod
def _genAltAssociationsST(
self,
tags: list[bs4.element.Tag],
) -> list[dict]:
"""Generates alt-text and creates associations given a list of img tags and current options.
Single threaded implementation.
Args:
tags (list[bs4.element.Tag]): List of img tags to make associations for.
Returns:
list[dict]: List of associations. Must have keys "src" and "alt". If "withHash" is True, must also have key "hash".
"""
pass
@abstractmethod
def _genAltAssociationsMT(
self,
tags: list[bs4.element.Tag],
) -> list[dict]:
"""Generates alt-text and creates associations given a list of img tags and current options.
Multi threaded implementation.
Args:
tags (list[bs4.element.Tag]): List of img tags to make associations for.
Returns:
list[dict]: List of associations. Must have keys "src" and "alt". If "withHash" is True, must also have key "hash".
"""
pass
@abstractmethod
def genAltAssociations(
self,
tags: list[bs4.element.Tag],
) -> list[dict]:
"""Generates alt-text and creates associations given a list of img tags and current options.
Automatically selects mutli or single threaded implementation based on current options.
Args:
tags (list[bs4.element.Tag]): List of img tags to make associations for.
Returns:
list[dict]: List of associations. Must have keys "src" and "alt". If "withHash" is True, must also have key "hash".
"""
pass
### HELPER METHODS
def getSoup(content: str) -> bs4.BeautifulSoup:
try:
return bs4.BeautifulSoup(content, "html.parser")
except Exception as htmlErr:
try:
return bs4.BeautifulSoup(content, features="xml")
except Exception as xmlErr:
raise Exception(
f"Failed to parse the document as HTML: {htmlErr}\nFailed to parse the document as XML: {xmlErr}"
)
### IMPLEMENTATIONS
class AltTextHTML(AltText):
def __init__(
self,
descEngine: DescEngine,
ocrEngine: OCREngine = None,
langEngine: LangEngine = None,
options: dict = {},
) -> None:
self.data = None
self.filename = None
self.filedir = None
self.descEngine = descEngine
self.ocrEngine = ocrEngine
self.langEngine = langEngine
self.options = DEFOPTIONS
for key in dict.keys(options):
self.options[key] = options[key]
return None
def setDescEngine(self, descEngine: DescEngine) -> bool:
self.descEngine = descEngine
return True
def setOCREngine(self, ocrEngine: OCREngine) -> bool:
self.descEngine = ocrEngine
return True
def setLangEngine(self, langEngine: LangEngine) -> bool:
self.descEngine = langEngine
return True
def setOptions(self, options: dict) -> bool:
for key in dict.keys(options):
self.options[key] = options[key]
return True
def checkData(self) -> bool:
if not hasattr(self, "data") or self.data == None:
raise Exception("no data set. please use .parse or .parseFile")
return True
# PARSING METHODS
def parse(self, html: str) -> bs4.BeautifulSoup:
soup = getSoup(html)
self.data = soup
return soup
def parseFile(self, filepath: str) -> bs4.BeautifulSoup:
with open(filepath, encoding="utf8") as html:
self.filepath = filepath
l = filepath.split("/")
self.filename = l.pop()
self.filedir = "/".join(l) + "/"
return self.parse(html)
def getAllImgs(self) -> typing.List[bs4.element.Tag]:
self.checkData()
imgs = self.data.find_all("img")
return imgs
def getNoAltImgs(self) -> typing.List[bs4.element.Tag]:
imgs = self.getAllImgs()
noalt = []
for img in imgs:
if not "alt" in img.attrs.keys() or img.attrs["alt"].strip() == "":
noalt.append(img)
return noalt
def getImg(self, src: str) -> bs4.element.Tag:
self.checkData()
img = self.data.find("img", src=src)
return img
def setAlt(self, src: str, text: str) -> bs4.element.Tag:
self.checkData()
img = self.data.find("img", src=src)
img.attrs["alt"] = text
return img
def setAlts(self, associations: list[dict]) -> list[bs4.element.Tag]:
self.checkData()
tags = []
for association in associations:
tags.append(self.setAlt(association["src"], association["alt"]))
return tags
def export(self) -> str:
self.checkData()
html = self.data.prettify()
return html
def exportToFile(self, path: str) -> str:
html = self.export()
with open(path, "w", encoding="utf-8") as file:
file.write(html)
return path
# GENERATIVE METHODS
def ingest(self) -> bool:
if self.langEngine == None:
raise Exception(
"To use ingest, you must have an appropriate langEngine set."
)
with open(self.filepath, "rb") as html:
self.langEngine.ingest(self.filename, html)
return True
def degest(self) -> bool:
if self.langEngine == None:
raise Exception(
"To use degest, you must have an appropriate langEngine set."
)
self.langEngine.degest(self.filename)
return True
def __getImgFilePath(self, src: str) -> str:
self.checkData()
path = f"{self.filedir}{src}"
return path
def getImgData(self, src: str) -> bytes:
path = self.__getImgFilePath(src)
with open(path, "rb") as bin:
bin = bin.read()
return bin
def getContext(self, tag: bs4.Tag) -> list[str]:
context = [None, None]
elem = tag
text = ""
try:
text = elem.text.strip()
while text == "":
elem = elem.previous_element
text = elem.text.strip()
context[0] = text
except:
print("error 0")
context[0] = None
elem = tag
text = ""
try:
text = elem.text.strip()
while text == "":
elem = elem.previous_element
text = elem.text.strip()
context[1] = text
except:
print("error 1")
context[1] = None
print(context)
return context
def genChars(self, imgData: bytes, src: str) -> str:
text = self.ocrEngine.genChars(imgData, src)
return text
def genDesc(self, imgData: bytes, src: str, context: str = None) -> str:
alt = self.descEngine.genDesc(imgData, src, context)
return alt
def genAltTextV1(self, src: str) -> str:
imgdata = self.getImgData(src)
context = None
if self.options["withContext"]:
context = self.getContext(self.getImg(src))
desc = self.genDesc(imgdata, src, context)
if self.langEngine != None:
chars = self.langEngine.refineDesc(desc)
alt = f"IMAGE CAPTION: {desc}"
if self.ocrEngine != None:
chars = self.genChars(imgdata, src)
if self.langEngine != None:
chars = self.langEngine.refineOCR(chars)
alt = f"{alt}\nTEXT IN IMAGE: {chars}"
return alt
def genAltTextV2(self, src: str) -> str:
imgdata = self.getImgData(src)
context = [None, None]
if self.options["withContext"]:
context = self.getContext(self.getImg(src))
desc = self.genDesc(imgdata, src, context)
chars = ""
if self.ocrEngine != None:
chars = self.genChars(imgdata, src).strip()
if self.langEngine == None:
raise Exception("To use version 2, you must have a langEngine set.")
return self.langEngine.refineAlt(desc, chars, context, None)
def genAltText(self, src: str) -> str:
if self.options["version"] == 1:
return self.genAltTextV1(src)
return self.genAltTextV2(src)
def genAssociation(
self,
tag: bs4.element.Tag,
) -> dict:
src = tag.attrs["src"]
alt = self.genAltText(src)
association = {"src": src, "alt": alt}
if self.options["withHash"]:
data = self.getImgData(src)
association["hash"] = hash(data)
return association
def _genAltAssociationsST(self, tags: list[bs4.element.Tag]) -> list[dict]:
associations = []
for tag in tags:
associations.append(self.genAssociation(tag))
return associations
def _genAltAssociationsMT(
self,
tags: list[bs4.element.Tag],
) -> list[dict]:
associations = []
def genAppend(tag):
associations.append(self.genAssociation(tag))
threads: list[Thread] = []
for tag in tags:
thread = Thread(
target=genAppend,
args=(tag,),
)
thread.start()
threads.append(thread)
for thread in threads:
thread.join()
return associations
def genAltAssociations(
self,
tags: list[bs4.element.Tag],
) -> list[dict]:
if self.options["multiThreaded"]:
return self._genAltAssociationsMT(tags)
return self._genAltAssociationsST(tags)
class AltTextEPUB(AltText):
def __init__(self) -> None:
return None
def checkData(self) -> bool:
if not hasattr(self, "data"):
raise Exception("no data set. please use .parse or .parseFile")
return True
def parse(self, epub: epub.EpubBook) -> epub.EpubBook:
self.data = epub
return self.data
def parseFile(self, filepath: str) -> epub.EpubBook:
book = epub.read_epub(filepath, {"ignore_ncx": True})
self.data = book
return book
def getAllImgs(self) -> typing.List[bs4.element.Tag]:
documents = self.data.get_items_of_type(ebooklib.ITEM_DOCUMENT)
imgs = []
for docs in documents:
# features="xml"
soup = getSoup(docs.get_content())
imgsInDoc = soup.find_all("img")
for img in imgsInDoc:
imgs.append(img)
return imgs
def getNoAltImgs(self) -> typing.List[bs4.element.Tag]:
imgs = self.getAllImgs()
noalt = []
for img in imgs:
if not "alt" in img.attrs.keys() or img.attrs["alt"].strip() == "":
noalt.append(img)
return noalt
def setAlt(self, src: str, text: str):
self.checkData()
documents = self.data.get_items_of_type(ebooklib.ITEM_DOCUMENT)
for doc in documents:
soup = getSoup(doc.get_content())
imgsInDoc = soup.find_all("img")
for img in imgsInDoc:
if img.attrs["src"] == src:
img.attrs["alt"] = text
newHtml = soup.prettify()
doc.set_content(newHtml.encode("utf-8"))
return
raise Exception("unable to find image with src '{src}'".format(src=src))
def export(self) -> epub.EpubBook:
self.checkData()
return self.data
def exportToFile(self, path: str) -> str:
epub.write_epub(path, self.export())
return path

View File

@ -12,6 +12,10 @@ import importlib
sys.path.append("c:/Users/ketha/Code/Senior D") #This will need to be changed system to system
AltTextHTML = importlib.import_module("alt-text.src.alttext.alttext").AltTextHTML
PrivateGPT = importlib.import_module("alt-text.src.alttext.langengine").PrivateGPT
descengine_path = 'c:/Users/ketha/Code/Senior D/alt-text/src/alttext/descengine.py'
# access downloaded books and go thru all of them
# 1. parse html file to find img src to get the before and after context (using get context funct)
@ -24,10 +28,10 @@ class AltTextGenerator(AltTextHTML):
# uses the class from alttext.py
# adds relevant benchmarking and saving methods
def __init__(self):
super().__init__()
def __init__(self, api_key, descengine):
super().__init__(descengine)
self.benchmark_records = []
self.api_key = api_key
#Use genAltTextV2
#ADD benchmark time stamps
def genAltTextV2(self, src: str) -> str:
@ -109,26 +113,35 @@ class AltTextGenerator(AltTextHTML):
writer.writerow(record)
print(f"CSV file has been generated at: {csv_file_path}")
def import_descengine():
#Key Stuff
spec = importlib.util.spec_from_file_location("descengine", descengine_path)
descengine = importlib.util.module_from_spec(spec)
sys.modules["descengine"] = descengine
spec.loader.exec_module(descengine)
return descengine
def automate_process(extr_folder : str):
# Iterate through all images in a folder to produce a table (csv) with benchmarking
descengine = import_descengine()
minigpt4_key = descengine.REPLICATE_MODELS['minigpt4']
generator = AltTextGenerator()
generator = AltTextGenerator(minigpt4_key, descengine)
# Iterate thru each book in folder (ex. downloaded_books)
for book_id in os.listdir(extr_folder):
book_path = os.path.join(extr_folder, book_id)
if os.path.isdir(book_path):
if os.path.exists(extr_folder):
for book_id in os.listdir(extr_folder):
book_path = os.path.join(extr_folder, book_id)
if os.path.isdir(book_path):
for filename in os.listdir(book_path):
filepath = os.path.join(book_path, filename)
# Iterate thru files in the book's directory
for filename in os.listdir(book_path):
filepath = os.path.join(book_path, filename)
# Check if the file is an HTML file
if filepath.endswith(".html"):
# Check if the file is an HTML file
if filepath.endswith(".html"):
# Use the parseFile method to parse the HTML file for the genAltText function
soup = generator.parseFile(filepath)
generator.genAltText(soup)
# Use the parseFile method to parse the HTML file for the genAltText function
soup = generator.parseFile(filepath)
generator.genAltText(soup)
generator.generate_csv('test_benchmark.csv', generator.benchmark_records)