INITIAL COMMIT
This commit is contained in:
commit
906fcc78b1
12
.gitignore
vendored
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12
.gitignore
vendored
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/.ing
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apikey.secret
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*.secret
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*.pdf
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*.jpg
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*.png
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*.PNG
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out.md
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out.old.md
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/__pycache__
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8
.idea/.gitignore
vendored
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8
.idea/.gitignore
vendored
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# Default ignored files
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/shelf/
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/workspace.xml
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# Editor-based HTTP Client requests
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/httpRequests/
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# Datasource local storage ignored files
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/dataSources/
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/dataSources.local.xml
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8
.idea/anki-from-dictionary.iml
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8
.idea/anki-from-dictionary.iml
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<?xml version="1.0" encoding="UTF-8"?>
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<module type="PYTHON_MODULE" version="4">
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||||||
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<component name="NewModuleRootManager">
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<content url="file://$MODULE_DIR$" />
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<orderEntry type="inheritedJdk" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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</module>
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6
.idea/inspectionProfiles/profiles_settings.xml
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6
.idea/inspectionProfiles/profiles_settings.xml
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<component name="InspectionProjectProfileManager">
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<settings>
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<option name="USE_PROJECT_PROFILE" value="false" />
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<version value="1.0" />
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</settings>
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</component>
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7
.idea/misc.xml
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7
.idea/misc.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="Black">
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<option name="sdkName" value="Poetry (anki-from-dictionary)" />
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</component>
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<component name="ProjectRootManager" version="2" project-jdk-name="Poetry (anki-from-dictionary)" project-jdk-type="Python SDK" />
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</project>
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8
.idea/modules.xml
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8
.idea/modules.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectModuleManager">
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<modules>
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<module fileurl="file://$PROJECT_DIR$/.idea/anki-from-dictionary.iml" filepath="$PROJECT_DIR$/.idea/anki-from-dictionary.iml" />
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</modules>
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</component>
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</project>
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6
.idea/vcs.xml
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6
.idea/vcs.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="VcsDirectoryMappings">
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<mapping directory="$PROJECT_DIR$" vcs="Git" />
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</component>
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</project>
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156
dict_to_anki.py
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156
dict_to_anki.py
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import base64
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from typing import Any
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import requests
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from PIL import Image
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from io import BytesIO
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# OpenAI API Key
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import prompt
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try:
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with open('apikey.secret') as f:
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api_key = f.read().strip()
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except FileNotFoundError:
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print('Couldn\'t read API key from file \'apikey.secret\'w. Does it exist?')
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# Function to encode image
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def encode_image(image):
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buffered = BytesIO()
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image.save(buffered, format="JPEG", quality=95)
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img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
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return img_str
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# Function to resize the image
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def resize_image(input_image_path, max_height, max_width):
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original_image = Image.open(input_image_path)
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width, height = original_image.size
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# resize amount required
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wr = max_width / width
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hr = max_height / height
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if wr < 1 or hr < 1:
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ratio = min(wr, hr)
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image = original_image.resize((int(ratio * width), int(ratio * height)))
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else:
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image = original_image
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return image
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def crop_image_to_left_side(image: Image, crop_width) -> Image:
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return image.crop((0, 0, min(image.size[0], crop_width), image.size[1]))
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# Resize the image and get base64 string
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# resized_image = resize_image(image_path, 1024, 512)
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def image_to_anki(image_paths: str | list[str]) -> tuple[str | None, Any]:
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images = []
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if isinstance(image_paths, str):
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image_paths = [image_paths]
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for image_path in image_paths:
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resized_image = resize_image(image_path, 1536, 1024) # seems to work good for these dict pages
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cropped_image = crop_image_to_left_side(resized_image, 512)
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# cropped_image.show()
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# print(cropped_image.size)
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# exit(1)
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base64_image = encode_image(cropped_image)
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images.append(base64_image)
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# print(resized_image.size)
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# exit(1)
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {api_key}"
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}
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payload = {
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"model": "gpt-4-vision-preview",
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"messages": [
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|
{
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"role": "system",
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"content": [
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{
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"type": "text",
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"text": prompt.SYSTEM_PROMPT,
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|
}
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|
]
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|
},
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||||||
|
{
|
||||||
|
"role": "user",
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||||||
|
"content": [
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|
{
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"type": "text",
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"text": "Transform this image into Anki cards."
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},
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# {
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# "type": "image_url",
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# "image_url": {
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# "url": f"data:image/jpeg;base64,{base64_image}"
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# }
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# }
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] + [{
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"type": "image_url",
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"image_url": {
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"url": f"data:image/jpeg;base64,{base64_image}"
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}
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}
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for base64_image in images]
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}
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],
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"max_tokens": 600 * len(images), # in general, around 350 tokens per page, so around double to be safe
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"temperature": 0.0,
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}
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response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload)
|
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|
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response_json = response.json()
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# print(response_json)
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# Extracting the completion
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try:
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completion = response_json['choices'][0]['message']['content']
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|
except KeyError:
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completion = None
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||||||
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# print(completion)
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return completion, response_json
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|
|
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|
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def test():
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# Path to your image
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# image_paths = "IMG_5334.PNG"
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# image_path = 'tmp.jpg'
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image_path = [
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'./.img/dict.pdf_7.png',
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'./.img/dict.pdf_8.png',
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]
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text, meta = image_to_anki(image_path)
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print(text)
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usage = meta['usage']
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|
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print(
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f'usage for page:\n{usage["prompt_tokens"]} prompt tokens and {usage["completion_tokens"]} completion tokens')
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print(
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f'approx. cost: 0.0075$ per picture, {usage["prompt_tokens"] * 0.01 / 1000}$ for prompt tokens and {usage["completion_tokens"] * 0.01 / 1000}$ for completion tokens')
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cost_this = usage["prompt_tokens"] * 0.01 / 1000 + usage["completion_tokens"] * 0.01 / 1000 + 0.0075
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print(f'this page: {cost_this}$')
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|
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if __name__ == '__main__':
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test()
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112
main.py
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112
main.py
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import argparse
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import os
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from pdf2image import convert_from_path
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import dict_to_anki # ensure dict_to_anki is imported
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|
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|
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IMGS_PER_REQUEST = 2
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|
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def is_parsable_to_int(input_string):
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|
try:
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|
int(input_string)
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|
return True
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|
except ValueError:
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|
return False
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|
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||||||
|
def main():
|
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|
parser = argparse.ArgumentParser(description='Parse PDF pages to MD.')
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|
parser.add_argument('--pages', type=str, required=True, help='Specify pages to parse in format <num>-<num>')
|
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|
parser.add_argument('--output-file', type=str, default='out.md', help='Specify output file')
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parser.add_argument('--images-path', type=str, default='./.img/', help='Specify output file')
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parser.add_argument('pdf_file', type=str, help='Specify PDF file name')
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|
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args = parser.parse_args()
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# check if page is a single digit
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if is_parsable_to_int(args.pages):
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start_page = int(args.pages)
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end_page = start_page
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|
else:
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# parse pages into start and end page
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start_page, end_page = map(int, args.pages.split('-'))
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# todo: validate output file
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# Create the images directory if it doesn't exist
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os.makedirs(args.images_path, exist_ok=True)
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# Create output file or throw error if not possible
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try:
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|
with open(args.output_file, 'w') as file:
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pass
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|
except OSError:
|
||||||
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raise Exception("Couldn't create output file")
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|
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||||||
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# convert PDF to images for the given page
|
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images = convert_from_path(args.pdf_file, first_page=start_page, last_page=end_page)
|
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|
|
||||||
|
# for each image, run dict_to_anki.convert(filename)
|
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|
|
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out = ''
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|
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cost = 0.0
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paths = []
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|
for i, image in enumerate(images, start=start_page):
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print(f'extracting image for page {i}...')
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image_path = f"{args.images_path.rstrip('/')}/{args.pdf_file}_{i}.png"
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image.save(image_path, 'PNG')
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paths.append(image_path)
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|
|
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break_outer = False
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|
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||||||
|
for i in range(len(paths) // IMGS_PER_REQUEST + 1):
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||||||
|
# print(i)
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# collect images
|
||||||
|
while True:
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||||||
|
to_process = paths[i * IMGS_PER_REQUEST:i * IMGS_PER_REQUEST + IMGS_PER_REQUEST]
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||||||
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# print(to_process)
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||||||
|
if len(to_process) == 0:
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||||||
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# skip if remaining list is empty (e.g. if 4 pages at package size 2)
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||||||
|
break
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|
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|
print(f'processing {len(to_process)} image{"s" if len(to_process) != 1 else ""}')
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||||||
|
|
||||||
|
cards, meta = dict_to_anki.image_to_anki(to_process)
|
||||||
|
|
||||||
|
if not cards:
|
||||||
|
print("Error processing! Response: " + meta)
|
||||||
|
user_response = input("Retry? [y/N] > ")
|
||||||
|
if user_response != 'y' or 'yes' or 'Y' or 'YES' or 'Yes':
|
||||||
|
break_outer = True
|
||||||
|
break
|
||||||
|
else:
|
||||||
|
continue
|
||||||
|
|
||||||
|
|
||||||
|
# usage logging
|
||||||
|
usage = meta['usage']
|
||||||
|
print(f'usage for page {i}:\n{usage["prompt_tokens"]} prompt tokens and {usage["completion_tokens"]} completion tokens')
|
||||||
|
print(f'approx. cost: , {usage["prompt_tokens"] * 0.01 / 1000}$ for prompt tokens (pictures approx {0.00745 * len(to_process)}$ of this), {usage["completion_tokens"] * 0.03 / 1000}$ for completion tokens')
|
||||||
|
|
||||||
|
cost_this = (usage["prompt_tokens"] * 0.01 / 1000
|
||||||
|
+ usage["completion_tokens"] * 0.03 / 1000)
|
||||||
|
cost += cost_this
|
||||||
|
print(f'this page: {cost_this}$, total: {cost}$')
|
||||||
|
|
||||||
|
out += cards + '\n\n\n'
|
||||||
|
break
|
||||||
|
|
||||||
|
if break_outer:
|
||||||
|
break
|
||||||
|
|
||||||
|
|
||||||
|
print("total cost:", cost)
|
||||||
|
|
||||||
|
with open(args.output_file, 'w') as file:
|
||||||
|
file.write(out)
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
564
poetry.lock
generated
Normal file
564
poetry.lock
generated
Normal file
@ -0,0 +1,564 @@
|
|||||||
|
# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand.
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "annotated-types"
|
||||||
|
version = "0.6.0"
|
||||||
|
description = "Reusable constraint types to use with typing.Annotated"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8"
|
||||||
|
files = [
|
||||||
|
{file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
|
||||||
|
{file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "anyio"
|
||||||
|
version = "4.2.0"
|
||||||
|
description = "High level compatibility layer for multiple asynchronous event loop implementations"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8"
|
||||||
|
files = [
|
||||||
|
{file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
|
||||||
|
{file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
|
||||||
|
idna = ">=2.8"
|
||||||
|
sniffio = ">=1.1"
|
||||||
|
typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
|
||||||
|
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
|
||||||
|
trio = ["trio (>=0.23)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "certifi"
|
||||||
|
version = "2023.11.17"
|
||||||
|
description = "Python package for providing Mozilla's CA Bundle."
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.6"
|
||||||
|
files = [
|
||||||
|
{file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
|
||||||
|
{file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "charset-normalizer"
|
||||||
|
version = "3.3.2"
|
||||||
|
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7.0"
|
||||||
|
files = [
|
||||||
|
{file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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|
||||||
|
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||||||
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||||||
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||||||
|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
{file = "charset_normalizer-3.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001"},
|
||||||
|
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
|
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||||||
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||||||
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||||||
|
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||||||
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|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "colorama"
|
||||||
|
version = "0.4.6"
|
||||||
|
description = "Cross-platform colored terminal text."
|
||||||
|
optional = false
|
||||||
|
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
|
||||||
|
files = [
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||||||
|
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
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||||||
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{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "distro"
|
||||||
|
version = "1.9.0"
|
||||||
|
description = "Distro - an OS platform information API"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.6"
|
||||||
|
files = [
|
||||||
|
{file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
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||||||
|
{file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "exceptiongroup"
|
||||||
|
version = "1.2.0"
|
||||||
|
description = "Backport of PEP 654 (exception groups)"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
files = [
|
||||||
|
{file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
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||||||
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|
||||||
|
]
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
test = ["pytest (>=6)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "h11"
|
||||||
|
version = "0.14.0"
|
||||||
|
description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
files = [
|
||||||
|
{file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
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||||||
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{file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "httpcore"
|
||||||
|
version = "1.0.2"
|
||||||
|
description = "A minimal low-level HTTP client."
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8"
|
||||||
|
files = [
|
||||||
|
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||||||
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|
||||||
|
]
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
certifi = "*"
|
||||||
|
h11 = ">=0.13,<0.15"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
asyncio = ["anyio (>=4.0,<5.0)"]
|
||||||
|
http2 = ["h2 (>=3,<5)"]
|
||||||
|
socks = ["socksio (==1.*)"]
|
||||||
|
trio = ["trio (>=0.22.0,<0.23.0)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "httpx"
|
||||||
|
version = "0.26.0"
|
||||||
|
description = "The next generation HTTP client."
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8"
|
||||||
|
files = [
|
||||||
|
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||||||
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|
||||||
|
]
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
anyio = "*"
|
||||||
|
certifi = "*"
|
||||||
|
httpcore = "==1.*"
|
||||||
|
idna = "*"
|
||||||
|
sniffio = "*"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
brotli = ["brotli", "brotlicffi"]
|
||||||
|
cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
|
||||||
|
http2 = ["h2 (>=3,<5)"]
|
||||||
|
socks = ["socksio (==1.*)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "idna"
|
||||||
|
version = "3.6"
|
||||||
|
description = "Internationalized Domain Names in Applications (IDNA)"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.5"
|
||||||
|
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||||||
|
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||||||
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{file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "openai"
|
||||||
|
version = "1.10.0"
|
||||||
|
description = "The official Python library for the openai API"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7.1"
|
||||||
|
files = [
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||||||
|
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||||||
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|
||||||
|
]
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
anyio = ">=3.5.0,<5"
|
||||||
|
distro = ">=1.7.0,<2"
|
||||||
|
httpx = ">=0.23.0,<1"
|
||||||
|
pydantic = ">=1.9.0,<3"
|
||||||
|
sniffio = "*"
|
||||||
|
tqdm = ">4"
|
||||||
|
typing-extensions = ">=4.7,<5"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "pdf2image"
|
||||||
|
version = "1.17.0"
|
||||||
|
description = "A wrapper around the pdftoppm and pdftocairo command line tools to convert PDF to a PIL Image list."
|
||||||
|
optional = false
|
||||||
|
python-versions = "*"
|
||||||
|
files = [
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||||||
|
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||||||
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||||||
|
]
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
pillow = "*"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "pillow"
|
||||||
|
version = "10.2.0"
|
||||||
|
description = "Python Imaging Library (Fork)"
|
||||||
|
optional = false
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||||||
|
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||||||
|
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||||||
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]
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||||||
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|
||||||
|
[package.extras]
|
||||||
|
docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
|
||||||
|
fpx = ["olefile"]
|
||||||
|
mic = ["olefile"]
|
||||||
|
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
|
||||||
|
typing = ["typing-extensions"]
|
||||||
|
xmp = ["defusedxml"]
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||||||
|
|
||||||
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[[package]]
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||||||
|
name = "pydantic"
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||||||
|
version = "2.6.0"
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||||||
|
description = "Data validation using Python type hints"
|
||||||
|
optional = false
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||||||
|
python-versions = ">=3.8"
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files = [
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]
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[package.dependencies]
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||||||
|
annotated-types = ">=0.4.0"
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||||||
|
pydantic-core = "2.16.1"
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||||||
|
typing-extensions = ">=4.6.1"
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||||||
|
|
||||||
|
[package.extras]
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||||||
|
email = ["email-validator (>=2.0.0)"]
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|
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||||||
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[[package]]
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|
name = "pydantic-core"
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|
version = "2.16.1"
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|
description = ""
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optional = false
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python-versions = ">=3.8"
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files = [
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||||||
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{file = "pydantic_core-2.16.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:920f4633bee43d7a2818e1a1a788906df5a17b7ab6fe411220ed92b42940f818"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9f5d37ff01edcbace53a402e80793640c25798fb7208f105d87a25e6fcc9ea06"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:399166f24c33a0c5759ecc4801f040dbc87d412c1a6d6292b2349b4c505effc9"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ac89ccc39cd1d556cc72d6752f252dc869dde41c7c936e86beac5eb555041b66"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:73802194f10c394c2bedce7a135ba1d8ba6cff23adf4217612bfc5cf060de34c"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8fa00fa24ffd8c31fac081bf7be7eb495be6d248db127f8776575a746fa55c95"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:601d3e42452cd4f2891c13fa8c70366d71851c1593ed42f57bf37f40f7dca3c8"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:07982b82d121ed3fc1c51faf6e8f57ff09b1325d2efccaa257dd8c0dd937acca"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp38-none-win32.whl", hash = "sha256:d0bf6f93a55d3fa7a079d811b29100b019784e2ee6bc06b0bb839538272a5610"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp38-none-win_amd64.whl", hash = "sha256:fbec2af0ebafa57eb82c18c304b37c86a8abddf7022955d1742b3d5471a6339e"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:a497be217818c318d93f07e14502ef93d44e6a20c72b04c530611e45e54c2196"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:694a5e9f1f2c124a17ff2d0be613fd53ba0c26de588eb4bdab8bca855e550d95"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8d4dfc66abea3ec6d9f83e837a8f8a7d9d3a76d25c9911735c76d6745950e62c"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8655f55fe68c4685673265a650ef71beb2d31871c049c8b80262026f23605ee3"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:21e3298486c4ea4e4d5cc6fb69e06fb02a4e22089304308817035ac006a7f506"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:71b4a48a7427f14679f0015b13c712863d28bb1ab700bd11776a5368135c7d60"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10dca874e35bb60ce4f9f6665bfbfad050dd7573596608aeb9e098621ac331dc"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:fa496cd45cda0165d597e9d6f01e36c33c9508f75cf03c0a650018c5048f578e"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:5317c04349472e683803da262c781c42c5628a9be73f4750ac7d13040efb5d2d"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:42c29d54ed4501a30cd71015bf982fa95e4a60117b44e1a200290ce687d3e640"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp39-none-win32.whl", hash = "sha256:ba07646f35e4e49376c9831130039d1b478fbfa1215ae62ad62d2ee63cf9c18f"},
|
||||||
|
{file = "pydantic_core-2.16.1-cp39-none-win_amd64.whl", hash = "sha256:2133b0e412a47868a358713287ff9f9a328879da547dc88be67481cdac529118"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:d25ef0c33f22649b7a088035fd65ac1ce6464fa2876578df1adad9472f918a76"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:99c095457eea8550c9fa9a7a992e842aeae1429dab6b6b378710f62bfb70b394"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b49c604ace7a7aa8af31196abbf8f2193be605db6739ed905ecaf62af31ccae0"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c56da23034fe66221f2208c813d8aa509eea34d97328ce2add56e219c3a9f41c"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:cebf8d56fee3b08ad40d332a807ecccd4153d3f1ba8231e111d9759f02edfd05"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:1ae8048cba95f382dba56766525abca438328455e35c283bb202964f41a780b0"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:780daad9e35b18d10d7219d24bfb30148ca2afc309928e1d4d53de86822593dc"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:c94b5537bf6ce66e4d7830c6993152940a188600f6ae044435287753044a8fe2"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:adf28099d061a25fbcc6531febb7a091e027605385de9fe14dd6a97319d614cf"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:644904600c15816a1f9a1bafa6aab0d21db2788abcdf4e2a77951280473f33e1"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:87bce04f09f0552b66fca0c4e10da78d17cb0e71c205864bab4e9595122cb9d9"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:877045a7969ace04d59516d5d6a7dee13106822f99a5d8df5e6822941f7bedc8"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9c46e556ee266ed3fb7b7a882b53df3c76b45e872fdab8d9cf49ae5e91147fd7"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:4eebbd049008eb800f519578e944b8dc8e0f7d59a5abb5924cc2d4ed3a1834ff"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:c0be58529d43d38ae849a91932391eb93275a06b93b79a8ab828b012e916a206"},
|
||||||
|
{file = "pydantic_core-2.16.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b1fc07896fc1851558f532dffc8987e526b682ec73140886c831d773cef44b76"},
|
||||||
|
{file = "pydantic_core-2.16.1.tar.gz", hash = "sha256:daff04257b49ab7f4b3f73f98283d3dbb1a65bf3500d55c7beac3c66c310fe34"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "requests"
|
||||||
|
version = "2.31.0"
|
||||||
|
description = "Python HTTP for Humans."
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
files = [
|
||||||
|
{file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
|
||||||
|
{file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
certifi = ">=2017.4.17"
|
||||||
|
charset-normalizer = ">=2,<4"
|
||||||
|
idna = ">=2.5,<4"
|
||||||
|
urllib3 = ">=1.21.1,<3"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
|
||||||
|
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "sniffio"
|
||||||
|
version = "1.3.0"
|
||||||
|
description = "Sniff out which async library your code is running under"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
files = [
|
||||||
|
{file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"},
|
||||||
|
{file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "tqdm"
|
||||||
|
version = "4.66.1"
|
||||||
|
description = "Fast, Extensible Progress Meter"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
files = [
|
||||||
|
{file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
|
||||||
|
{file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
|
||||||
|
notebook = ["ipywidgets (>=6)"]
|
||||||
|
slack = ["slack-sdk"]
|
||||||
|
telegram = ["requests"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "typing-extensions"
|
||||||
|
version = "4.9.0"
|
||||||
|
description = "Backported and Experimental Type Hints for Python 3.8+"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8"
|
||||||
|
files = [
|
||||||
|
{file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
|
||||||
|
{file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "urllib3"
|
||||||
|
version = "2.2.0"
|
||||||
|
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8"
|
||||||
|
files = [
|
||||||
|
{file = "urllib3-2.2.0-py3-none-any.whl", hash = "sha256:ce3711610ddce217e6d113a2732fafad960a03fd0318c91faa79481e35c11224"},
|
||||||
|
{file = "urllib3-2.2.0.tar.gz", hash = "sha256:051d961ad0c62a94e50ecf1af379c3aba230c66c710493493560c0c223c49f20"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
|
||||||
|
h2 = ["h2 (>=4,<5)"]
|
||||||
|
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
|
||||||
|
zstd = ["zstandard (>=0.18.0)"]
|
||||||
|
|
||||||
|
[metadata]
|
||||||
|
lock-version = "2.0"
|
||||||
|
python-versions = "^3.10"
|
||||||
|
content-hash = "1df31140161c62d430257e30b1ebbff75524b5614888dfc7809f90d5f09a5737"
|
||||||
51
prompt.py
Normal file
51
prompt.py
Normal file
@ -0,0 +1,51 @@
|
|||||||
|
SYSTEM_PROMPT = '''
|
||||||
|
You are AnkiBot, a program that converts dictionary pictures into Anki cards.
|
||||||
|
You will get Dictionary Images as input, and you will write Anki cards as an output.
|
||||||
|
Anki cards follow the following format:
|
||||||
|
|
||||||
|
Q: How do you use this style?
|
||||||
|
A: Just like this.
|
||||||
|
|
||||||
|
Q: Can the question
|
||||||
|
run over multiple lines?
|
||||||
|
A: Yes, and
|
||||||
|
So can the answer
|
||||||
|
|
||||||
|
Q: Does the answer need to be immediately after the question?
|
||||||
|
|
||||||
|
|
||||||
|
A: No, and preceding whitespace will be ignored.
|
||||||
|
|
||||||
|
Q: How is this possible?
|
||||||
|
A: The 'magic' of regular expressions!
|
||||||
|
|
||||||
|
|
||||||
|
MAKE SURE that there is a space after Q: and A:.
|
||||||
|
|
||||||
|
Here are some example cards created from the dictionary:
|
||||||
|
|
||||||
|
Q: eigen
|
||||||
|
A: adv/adj.自己的，自身的，个人的 表示归属
|
||||||
|
|
||||||
|
Q: im Hof
|
||||||
|
A: 在院子
|
||||||
|
|
||||||
|
|
||||||
|
If there is a singular and a plural listed, DO NOT create extra cards for the plural Instead, MAKE SURE to create cards like this:
|
||||||
|
|
||||||
|
Q: der Beamte -n
|
||||||
|
A: 公务员
|
||||||
|
|
||||||
|
Q: der Job -s
|
||||||
|
A: 工作
|
||||||
|
|
||||||
|
ONLY write down the words in the dictionary. Output NOTHING ELSE than the words in the dictionary.
|
||||||
|
If a page does not contain any words (e.g. grammar info, title, ...), SKIP THAT PAGE and do not write down ANYTHING for it.
|
||||||
|
You have perfect OCR for roman letters, and chinese characters, and never make a mistake.
|
||||||
|
Make sure to write Anki cards for EVERY word. DO NOT leave any out. Try to always use the chinese words used in the dictionary, don't reword.
|
||||||
|
DO NOT modify the dictionary content, just transform the entries as-is into Anki cards.
|
||||||
|
'''
|
||||||
|
|
||||||
|
# DO NOT reword or rewrite chinese translation, just copy them from the dictionary!
|
||||||
|
# note: doesn't really work well, as it writes more wrong translations if it can't recognize something properly
|
||||||
|
|
||||||
19
pyproject.toml
Normal file
19
pyproject.toml
Normal file
@ -0,0 +1,19 @@
|
|||||||
|
[tool.poetry]
|
||||||
|
name = "anki-from-dictionary"
|
||||||
|
version = "0.1.0"
|
||||||
|
description = "GPT-4V application to extract Anki cards from dictionaries"
|
||||||
|
authors = ["Yandrik <me@yandrik.dev>"]
|
||||||
|
license = "MIT"
|
||||||
|
readme = "README.md"
|
||||||
|
|
||||||
|
[tool.poetry.dependencies]
|
||||||
|
python = "^3.10"
|
||||||
|
openai = "^1.10.0"
|
||||||
|
requests = "^2.31.0"
|
||||||
|
pillow = "^10.2.0"
|
||||||
|
pdf2image = "^1.17.0"
|
||||||
|
|
||||||
|
|
||||||
|
[build-system]
|
||||||
|
requires = ["poetry-core"]
|
||||||
|
build-backend = "poetry.core.masonry.api"
|
||||||
Loading…
Reference in New Issue
Block a user