mirror of
https://github.com/1Panel-dev/MaxKB.git
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74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
from typing import Dict
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from django.utils.translation import gettext
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from langchain_community.chat_models import ChatZhipuAI
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from langchain_core.messages import HumanMessage
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from zhipuai import ZhipuAI
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from common.config.tokenizer_manage_config import TokenizerManage
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from models_provider.base_model_provider import MaxKBBaseModel
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from models_provider.impl.base_tti import BaseTextToImage
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def custom_get_token_ids(text: str):
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tokenizer = TokenizerManage.get_tokenizer()
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return tokenizer.encode(text)
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class ZhiPuTextToImage(MaxKBBaseModel, BaseTextToImage):
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api_key: str
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model: str
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params: dict
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def __init__(self, **kwargs):
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super().__init__(**kwargs)
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self.api_key = kwargs.get('api_key')
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self.model = kwargs.get('model')
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self.params = kwargs.get('params')
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@staticmethod
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def is_cache_model():
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return False
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@staticmethod
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def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
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optional_params = {'params': {'size': '1024x1024'}}
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for key, value in model_kwargs.items():
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if key not in ['model_id', 'use_local', 'streaming']:
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optional_params['params'][key] = value
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return ZhiPuTextToImage(
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model=model_name,
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api_key=model_credential.get('api_key'),
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**optional_params,
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)
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def is_cache_model(self):
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return False
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def check_auth(self):
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chat = ChatZhipuAI(
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zhipuai_api_key=self.api_key,
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model_name=self.model,
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)
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chat.invoke([HumanMessage([{"type": "text", "text": gettext('Hello')}])])
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# self.generate_image('生成一个小猫图片')
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def generate_image(self, prompt: str, negative_prompt: str = None):
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# chat = ChatZhipuAI(
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# zhipuai_api_key=self.api_key,
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# model_name=self.model,
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# )
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chat = ZhipuAI(api_key=self.api_key)
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response = chat.images.generations(
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model=self.model, # 填写需要调用的模型编码
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prompt=prompt, # 填写需要生成图片的文本
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**self.params # 填写额外参数
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)
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file_urls = []
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for content in response.data:
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url = content.url
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file_urls.append(url)
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return file_urls
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