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# """
# 对各个llm模型进行单元测试
# """
def validate_path():
import os, sys
dir_name = os.path.dirname(__file__)
root_dir_assume = os.path.abspath(os.path.dirname(__file__) + '/..')
os.chdir(root_dir_assume)
sys.path.append(root_dir_assume)
validate_path() # validate path so you can run from base directory
if __name__ == "__main__":
# from request_llms.bridge_newbingfree import predict_no_ui_long_connection
# from request_llms.bridge_moss import predict_no_ui_long_connection
# from request_llms.bridge_jittorllms_pangualpha import predict_no_ui_long_connection
# from request_llms.bridge_jittorllms_llama import predict_no_ui_long_connection
# from request_llms.bridge_claude import predict_no_ui_long_connection
# from request_llms.bridge_internlm import predict_no_ui_long_connection
# from request_llms.bridge_deepseekcoder import predict_no_ui_long_connection
# from request_llms.bridge_qwen_7B import predict_no_ui_long_connection
from request_llms.bridge_qwen_local import predict_no_ui_long_connection
# from request_llms.bridge_spark import predict_no_ui_long_connection
# from request_llms.bridge_zhipu import predict_no_ui_long_connection
# from request_llms.bridge_chatglm3 import predict_no_ui_long_connection
llm_kwargs = {
'max_length': 4096,
'top_p': 1,
'temperature': 1,
}
result = predict_no_ui_long_connection( inputs="请问什么是质子？",
llm_kwargs=llm_kwargs,
history=["你好", "我好！"],
sys_prompt="")
print('final result:', result)
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