43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
import os
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from pathlib import Path
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from dashscope import MultiModalConversation
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import dashscope
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from models.generator import Generator
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# from models.emoji_db import check_emoji, update_description
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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 models.logger import setup_logger
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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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root_folder = "G:\\Python\\mcunc\\EmojiTextGenerator\\"
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emoji_folder = "G:\\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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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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# print(emoji_uuid)
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image = compress_image(emoji_file)
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image_path = Path(root_folder) / image
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# print(image_path)
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description = gen.process_single_image(str(image_path))
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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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fp.write(f"{emoji_uuid}: {description}\n")
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fp.close()
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