feat: BaiLian Image Model
This commit is contained in:
CaptainB
刘瑞斌
parent
c816c95224
commit
33036400d3
@ -13,15 +13,19 @@ from setting.models_provider.base_model_provider import ModelProvideInfo, ModelT
|
||||
ModelInfoManage
|
||||
from setting.models_provider.impl.aliyun_bai_lian_model_provider.credential.embedding import \
|
||||
AliyunBaiLianEmbeddingCredential
|
||||
from setting.models_provider.impl.aliyun_bai_lian_model_provider.credential.image import QwenVLModelCredential
|
||||
from setting.models_provider.impl.aliyun_bai_lian_model_provider.credential.llm import BaiLianLLMModelCredential
|
||||
from setting.models_provider.impl.aliyun_bai_lian_model_provider.credential.reranker import \
|
||||
AliyunBaiLianRerankerCredential
|
||||
from setting.models_provider.impl.aliyun_bai_lian_model_provider.credential.stt import AliyunBaiLianSTTModelCredential
|
||||
from setting.models_provider.impl.aliyun_bai_lian_model_provider.credential.tti import QwenTextToImageModelCredential
|
||||
from setting.models_provider.impl.aliyun_bai_lian_model_provider.credential.tts import AliyunBaiLianTTSModelCredential
|
||||
from setting.models_provider.impl.aliyun_bai_lian_model_provider.model.embedding import AliyunBaiLianEmbedding
|
||||
from setting.models_provider.impl.aliyun_bai_lian_model_provider.model.image import QwenVLChatModel
|
||||
from setting.models_provider.impl.aliyun_bai_lian_model_provider.model.llm import BaiLianChatModel
|
||||
from setting.models_provider.impl.aliyun_bai_lian_model_provider.model.reranker import AliyunBaiLianReranker
|
||||
from setting.models_provider.impl.aliyun_bai_lian_model_provider.model.stt import AliyunBaiLianSpeechToText
|
||||
from setting.models_provider.impl.aliyun_bai_lian_model_provider.model.tti import QwenTextToImageModel
|
||||
from setting.models_provider.impl.aliyun_bai_lian_model_provider.model.tts import AliyunBaiLianTextToSpeech
|
||||
from smartdoc.conf import PROJECT_DIR
|
||||
|
||||
@ -30,6 +34,8 @@ aliyun_bai_lian_tts_model_credential = AliyunBaiLianTTSModelCredential()
|
||||
aliyun_bai_lian_stt_model_credential = AliyunBaiLianSTTModelCredential()
|
||||
aliyun_bai_lian_embedding_model_credential = AliyunBaiLianEmbeddingCredential()
|
||||
aliyun_bai_lian_llm_model_credential = BaiLianLLMModelCredential()
|
||||
qwenvl_model_credential = QwenVLModelCredential()
|
||||
qwentti_model_credential = QwenTextToImageModelCredential()
|
||||
|
||||
model_info_list = [ModelInfo('gte-rerank',
|
||||
'阿里巴巴通义实验室开发的GTE-Rerank文本排序系列模型，开发者可以通过LlamaIndex框架进行集成高质量文本检索、排序。',
|
||||
@ -52,9 +58,28 @@ model_info_list = [ModelInfo('gte-rerank',
|
||||
BaiLianChatModel)
|
||||
]
|
||||
|
||||
model_info_manage = ModelInfoManage.builder().append_model_info_list(model_info_list).append_default_model_info(
|
||||
model_info_list[1]).append_default_model_info(model_info_list[2]).append_default_model_info(
|
||||
model_info_list[3]).append_default_model_info(model_info_list[4]).build()
|
||||
module_info_vl_list = [
|
||||
ModelInfo('qwen-vl-max', '', ModelTypeConst.IMAGE, qwenvl_model_credential, QwenVLChatModel),
|
||||
ModelInfo('qwen-vl-max-0809', '', ModelTypeConst.IMAGE, qwenvl_model_credential, QwenVLChatModel),
|
||||
ModelInfo('qwen-vl-plus-0809', '', ModelTypeConst.IMAGE, qwenvl_model_credential, QwenVLChatModel),
|
||||
]
|
||||
module_info_tti_list = [
|
||||
ModelInfo('wanx-v1',
|
||||
'通义万相-文本生成图像大模型，支持中英文双语输入，支持输入参考图片进行参考内容或者参考风格迁移，重点风格包括但不限于水彩、油画、中国画、素描、扁平插画、二次元、3D卡通。',
|
||||
ModelTypeConst.TTI, qwentti_model_credential, QwenTextToImageModel),
|
||||
]
|
||||
|
||||
model_info_manage = (
|
||||
ModelInfoManage.builder()
|
||||
.append_model_info_list(model_info_list)
|
||||
.append_model_info_list(module_info_vl_list)
|
||||
.append_model_info_list(module_info_tti_list)
|
||||
.append_default_model_info(model_info_list[1])
|
||||
.append_default_model_info(model_info_list[2])
|
||||
.append_default_model_info(model_info_list[3])
|
||||
.append_default_model_info(model_info_list[4])
|
||||
.build()
|
||||
)
|
||||
|
||||
|
||||
class AliyunBaiLianModelProvider(IModelProvider):
|
||||
|
||||
@ -0,0 +1,71 @@
|
||||
# coding=utf-8
|
||||
"""
|
||||
@project: MaxKB
|
||||
@Author：虎
|
||||
@file： llm.py
|
||||
@date：2024/7/11 18:41
|
||||
@desc:
|
||||
"""
|
||||
import base64
|
||||
import os
|
||||
from typing import Dict
|
||||
|
||||
from langchain_core.messages import HumanMessage
|
||||
|
||||
from common import forms
|
||||
from common.exception.app_exception import AppApiException
|
||||
from common.forms import BaseForm, TooltipLabel
|
||||
from setting.models_provider.base_model_provider import BaseModelCredential, ValidCode
|
||||
|
||||
|
||||
class QwenModelParams(BaseForm):
|
||||
temperature = forms.SliderField(TooltipLabel('温度', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
|
||||
required=True, default_value=1.0,
|
||||
_min=0.1,
|
||||
_max=1.9,
|
||||
_step=0.01,
|
||||
precision=2)
|
||||
|
||||
max_tokens = forms.SliderField(
|
||||
TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
|
||||
required=True, default_value=800,
|
||||
_min=1,
|
||||
_max=100000,
|
||||
_step=1,
|
||||
precision=0)
|
||||
|
||||
|
||||
class QwenVLModelCredential(BaseForm, BaseModelCredential):
|
||||
|
||||
def is_valid(self, model_type: str, model_name, model_credential: Dict[str, object], provider,
|
||||
raise_exception=False):
|
||||
model_type_list = provider.get_model_type_list()
|
||||
if not any(list(filter(lambda mt: mt.get('value') == model_type, model_type_list))):
|
||||
raise AppApiException(ValidCode.valid_error.value, f'{model_type} 模型类型不支持')
|
||||
for key in ['api_key']:
|
||||
if key not in model_credential:
|
||||
if raise_exception:
|
||||
raise AppApiException(ValidCode.valid_error.value, f'{key} 字段为必填字段')
|
||||
else:
|
||||
return False
|
||||
try:
|
||||
model = provider.get_model(model_type, model_name, model_credential)
|
||||
res = model.stream([HumanMessage(content=[{"type": "text", "text": "你好"}])])
|
||||
for chunk in res:
|
||||
print(chunk)
|
||||
except Exception as e:
|
||||
if isinstance(e, AppApiException):
|
||||
raise e
|
||||
if raise_exception:
|
||||
raise AppApiException(ValidCode.valid_error.value, f'校验失败,请检查参数是否正确: {str(e)}')
|
||||
else:
|
||||
return False
|
||||
return True
|
||||
|
||||
def encryption_dict(self, model: Dict[str, object]):
|
||||
return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
|
||||
|
||||
api_key = forms.PasswordInputField('API Key', required=True)
|
||||
|
||||
def get_model_params_setting_form(self, model_name):
|
||||
return QwenModelParams()
|
||||
@ -0,0 +1,94 @@
|
||||
# coding=utf-8
|
||||
"""
|
||||
@project: MaxKB
|
||||
@Author：虎
|
||||
@file： llm.py
|
||||
@date：2024/7/11 18:41
|
||||
@desc:
|
||||
"""
|
||||
import base64
|
||||
import os
|
||||
from typing import Dict
|
||||
|
||||
from langchain_core.messages import HumanMessage
|
||||
|
||||
from common import forms
|
||||
from common.exception.app_exception import AppApiException
|
||||
from common.forms import BaseForm, TooltipLabel
|
||||
from setting.models_provider.base_model_provider import BaseModelCredential, ValidCode
|
||||
|
||||
|
||||
class QwenModelParams(BaseForm):
|
||||
size = forms.SingleSelect(
|
||||
TooltipLabel('图片尺寸', '指定生成图片的尺寸, 如: 1024x1024'),
|
||||
required=True,
|
||||
default_value='1024*1024',
|
||||
option_list=[
|
||||
{'value': '1024*1024', 'label': '1024*1024'},
|
||||
{'value': '720*1280', 'label': '720*1280'},
|
||||
{'value': '768*1152', 'label': '768*1152'},
|
||||
{'value': '1280*720', 'label': '1280*720'},
|
||||
],
|
||||
text_field='label',
|
||||
value_field='value')
|
||||
n = forms.SliderField(
|
||||
TooltipLabel('图片数量', '指定生成图片的数量'),
|
||||
required=True, default_value=1,
|
||||
_min=1,
|
||||
_max=4,
|
||||
_step=1,
|
||||
precision=0)
|
||||
style = forms.SingleSelect(
|
||||
TooltipLabel('风格', '指定生成图片的风格'),
|
||||
required=True,
|
||||
default_value='<auto>',
|
||||
option_list=[
|
||||
{'value': '<auto>', 'label': '默认值，由模型随机输出图像风格'},
|
||||
{'value': '<photography>', 'label': '摄影'},
|
||||
{'value': '<portrait>', 'label': '人像写真'},
|
||||
{'value': '<3d cartoon>', 'label': '3D卡通'},
|
||||
{'value': '<anime>', 'label': '动画'},
|
||||
{'value': '<oil painting>', 'label': '油画'},
|
||||
{'value': '<watercolor>', 'label': '水彩'},
|
||||
{'value': '<sketch>', 'label': '素描'},
|
||||
{'value': '<chinese painting>', 'label': '中国画'},
|
||||
{'value': '<flat illustration>', 'label': '扁平插画'},
|
||||
],
|
||||
text_field='label',
|
||||
value_field='value'
|
||||
)
|
||||
|
||||
|
||||
class QwenTextToImageModelCredential(BaseForm, BaseModelCredential):
|
||||
|
||||
def is_valid(self, model_type: str, model_name, model_credential: Dict[str, object], provider,
|
||||
raise_exception=False):
|
||||
model_type_list = provider.get_model_type_list()
|
||||
if not any(list(filter(lambda mt: mt.get('value') == model_type, model_type_list))):
|
||||
raise AppApiException(ValidCode.valid_error.value, f'{model_type} 模型类型不支持')
|
||||
for key in ['api_key']:
|
||||
if key not in model_credential:
|
||||
if raise_exception:
|
||||
raise AppApiException(ValidCode.valid_error.value, f'{key} 字段为必填字段')
|
||||
else:
|
||||
return False
|
||||
try:
|
||||
model = provider.get_model(model_type, model_name, model_credential)
|
||||
res = model.check_auth()
|
||||
print(res)
|
||||
except Exception as e:
|
||||
if isinstance(e, AppApiException):
|
||||
raise e
|
||||
if raise_exception:
|
||||
raise AppApiException(ValidCode.valid_error.value, f'校验失败,请检查参数是否正确: {str(e)}')
|
||||
else:
|
||||
return False
|
||||
return True
|
||||
|
||||
def encryption_dict(self, model: Dict[str, object]):
|
||||
return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
|
||||
|
||||
api_key = forms.PasswordInputField('API Key', required=True)
|
||||
|
||||
def get_model_params_setting_form(self, model_name):
|
||||
return QwenModelParams()
|
||||
@ -0,0 +1,23 @@
|
||||
# coding=utf-8
|
||||
|
||||
from typing import Dict
|
||||
|
||||
from langchain_community.chat_models import ChatOpenAI
|
||||
|
||||
from setting.models_provider.base_model_provider import MaxKBBaseModel
|
||||
|
||||
|
||||
class QwenVLChatModel(MaxKBBaseModel, ChatOpenAI):
|
||||
|
||||
@staticmethod
|
||||
def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
|
||||
optional_params = MaxKBBaseModel.filter_optional_params(model_kwargs)
|
||||
chat_tong_yi = QwenVLChatModel(
|
||||
model_name=model_name,
|
||||
openai_api_key=model_credential.get('api_key'),
|
||||
openai_api_base='https://dashscope.aliyuncs.com/compatible-mode/v1',
|
||||
# stream_options={"include_usage": True},
|
||||
streaming=True,
|
||||
model_kwargs=optional_params,
|
||||
)
|
||||
return chat_tong_yi
|
||||
@ -0,0 +1,58 @@
|
||||
# coding=utf-8
|
||||
from http import HTTPStatus
|
||||
from typing import Dict
|
||||
|
||||
from dashscope import ImageSynthesis
|
||||
from langchain_community.chat_models import ChatTongyi
|
||||
from langchain_core.messages import HumanMessage
|
||||
|
||||
from setting.models_provider.base_model_provider import MaxKBBaseModel
|
||||
from setting.models_provider.impl.base_tti import BaseTextToImage
|
||||
|
||||
|
||||
class QwenTextToImageModel(MaxKBBaseModel, BaseTextToImage):
|
||||
api_key: str
|
||||
model_name: str
|
||||
params: dict
|
||||
|
||||
def __init__(self, **kwargs):
|
||||
super().__init__(**kwargs)
|
||||
self.api_key = kwargs.get('api_key')
|
||||
self.model_name = kwargs.get('model_name')
|
||||
self.params = kwargs.get('params')
|
||||
|
||||
@staticmethod
|
||||
def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
|
||||
optional_params = {'params': {'size': '1024*1024', 'style': '<auto>', 'n': 1}}
|
||||
for key, value in model_kwargs.items():
|
||||
if key not in ['model_id', 'use_local', 'streaming']:
|
||||
optional_params['params'][key] = value
|
||||
chat_tong_yi = QwenTextToImageModel(
|
||||
model_name=model_name,
|
||||
api_key=model_credential.get('api_key'),
|
||||
**optional_params,
|
||||
)
|
||||
return chat_tong_yi
|
||||
|
||||
def is_cache_model(self):
|
||||
return False
|
||||
|
||||
def check_auth(self):
|
||||
chat = ChatTongyi(api_key=self.api_key, model_name='qwen-max')
|
||||
chat.invoke([HumanMessage([{"type": "text", "text": "你好"}])])
|
||||
|
||||
def generate_image(self, prompt: str, negative_prompt: str = None):
|
||||
# api_base='https://dashscope.aliyuncs.com/compatible-mode/v1',
|
||||
rsp = ImageSynthesis.call(api_key=self.api_key,
|
||||
model=self.model_name,
|
||||
prompt=prompt,
|
||||
negative_prompt=negative_prompt,
|
||||
**self.params)
|
||||
file_urls = []
|
||||
if rsp.status_code == HTTPStatus.OK:
|
||||
for result in rsp.output.results:
|
||||
file_urls.append(result.url)
|
||||
else:
|
||||
print('sync_call Failed, status_code: %s, code: %s, message: %s' %
|
||||
(rsp.status_code, rsp.code, rsp.message))
|
||||
return file_urls
|
||||
Loading…
Reference in New Issue
Block a user