52 lines
1.9 KiB
Python
52 lines
1.9 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 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 controllers.calculate_cost import calc_cost
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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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emoji = yield_emoji_path(emoji_folder)
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gen = Generator(api_key)
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def main():
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count_cost = 0
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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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if check_emoji(emoji_uuid):
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try:
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description, tokens = gen.get_data(str(image_path))
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cost = calc_cost(tokens)
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input_tokens, output_tokens = tokens
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except AttributeError:
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logger.warning("AI模型未响应，请检查是否欠费！")
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break
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update_description(emoji_uuid, description)
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if description:
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logger.info(f"图片 {emoji_file} 的描述词生成完毕，序号：{i + 1}, 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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else:
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logger.warning(f"图片 {emoji_file} 的描述词生成失败！序号：{i + 1}")
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if __name__ == '__main__':
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try:
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main()
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except KeyboardInterrupt:
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exit() |