ColossalAI/applications/ColossalQA/tests/test_retrieval_qa.py

63 lines
2.9 KiB
Python

import os
from colossalqa.retrieval_conversation_universal import UniversalRetrievalConversation
def test_en_retrievalQA():
data_path_en = os.environ.get('TEST_DATA_PATH_EN')
data_path_zh = os.environ.get('TEST_DATA_PATH_ZH')
en_model_path = os.environ.get('EN_MODEL_PATH')
zh_model_path = os.environ.get('ZH_MODEL_PATH')
zh_model_name = os.environ.get('ZH_MODEL_NAME')
en_model_name = os.environ.get('EN_MODEL_NAME')
sql_file_path = os.environ.get('SQL_FILE_PATH')
qa_session = UniversalRetrievalConversation(files_en=[{
'data_path': data_path_en,
'name': 'company information',
'separator': '\n'
}],
files_zh=[{
'data_path': data_path_zh,
'name': 'company information',
'separator': '\n'
}],
zh_model_path=zh_model_path,
en_model_path=en_model_path,
zh_model_name=zh_model_name,
en_model_name=en_model_name,
sql_file_path=sql_file_path)
ans = qa_session.run("which company runs business in hotel industry?", which_language='en')
print(ans)
def test_zh_retrievalQA():
data_path_en = os.environ.get('TEST_DATA_PATH_EN')
data_path_zh = os.environ.get('TEST_DATA_PATH_ZH')
en_model_path = os.environ.get('EN_MODEL_PATH')
zh_model_path = os.environ.get('ZH_MODEL_PATH')
zh_model_name = os.environ.get('ZH_MODEL_NAME')
en_model_name = os.environ.get('EN_MODEL_NAME')
sql_file_path = os.environ.get('SQL_FILE_PATH')
qa_session = UniversalRetrievalConversation(files_en=[{
'data_path': data_path_en,
'name': 'company information',
'separator': '\n'
}],
files_zh=[{
'data_path': data_path_zh,
'name': 'company information',
'separator': '\n'
}],
zh_model_path=zh_model_path,
en_model_path=en_model_path,
zh_model_name=zh_model_name,
en_model_name=en_model_name,
sql_file_path=sql_file_path)
ans = qa_session.run("哪家公司在经营酒店业务?", which_language='zh')
print(ans)
if __name__ == "__main__":
test_en_retrievalQA()
test_zh_retrievalQA()