47 lines
1.7 KiB
Python
47 lines
1.7 KiB
Python
from pathlib import Path
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import dashscope
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from models.generator import Generator
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from controllers.localfile_handles import get_emoji_count, yield_emoji_path
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from controllers.compress_image import compress_image
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from controllers.calculate_cost import calc_cost
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from models.logger import setup_logger
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from models.emoji_db import get_emoji_url
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logger = setup_logger()
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api_key = "sk-213f83213fce4e2ba41b8e67721f19cb"
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dashscope.api_key = api_key
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root_folder = "D:\\Python\\mcunc\\EmojiTextGenerator\\"
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emoji_folder = "D:\\Python\\mcunc\\EmojiTextGenerator\\emojis\\"
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emoji = yield_emoji_path(emoji_folder)
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gen = Generator(api_key)
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def generate_description_to_txt():
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fp = open("descriptions.txt", "w", encoding="utf-8")
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for i in range(get_emoji_count(emoji_folder)):
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emoji_file = next(emoji)
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emoji_uuid = ''
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p = Path(emoji_file)
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if p.suffix == ".jpg" or p.suffix == ".jpeg":
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emoji_uuid = p.stem
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image = compress_image(emoji_file)
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image_path = Path(root_folder) / image
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description, tokens = gen.process_local_image(str(image_path))
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cost = calc_cost(tokens)
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input_tokens, output_tokens = tokens
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logger.info(f"图片 {emoji_file} 的描述词生成完毕，序号：{i}， 其 description 为: {description}")
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logger.info(f"本次生成输入token：{input_tokens}, 输出token：{output_tokens}, 花费：{cost} 元")
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fp.write(f"{emoji_uuid}: {description}\n")
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fp.close()
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generate_description_to_txt()
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content = get_emoji_url("c3151774-2c4c-48f6-a3ac-b8802cf95498")
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# print(content)
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url = 'https://pic1.arkoo.com/56D0B40F99F841DF8A2425762AE2565D/picture/o_1i4qop009177v1tgf14db15he1iaj1is.jpg'
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print(gen.get_data(url)) |