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[hotfix] fix typo s/keywrods/keywords etc. (#5429)

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digger yu
2024-03-12 11:25:16 +08:00
committed by GitHub
parent da885ed540
commit 385e85afd4
17 changed files with 25 additions and 25 deletions
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2
applications/ColossalQA/examples/retrieval_conversation_chatgpt.py
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@@ -61,7 +61,7 @@ if __name__ == "__main__":
information_retriever.add_documents(docs=documents, cleanup="incremental", mode="by_source", embedding=embedding)
prompt_template = """Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.
If the answer cannot be infered based on the given context, please don't share false information.
If the answer cannot be inferred based on the given context, please don't share false information.
Use the context and chat history to respond to the human's input at the end or carry on the conversation. You should generate one response only. No following up is needed.
context:

4
applications/ColossalQA/examples/retrieval_conversation_en.py
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@@ -67,7 +67,7 @@ if __name__ == "__main__":
break
data_name = input("Enter a short description of the data:")
separator = input(
"Enter a separator to force separating text into chunks, if no separator is given, the defaut separator is '\\n\\n'. Note that"
"Enter a separator to force separating text into chunks, if no separator is given, the default separator is '\\n\\n'. Note that"
+ "we use neural text spliter to split texts into chunks, the seperator only serves as a delimiter to force split long passage into"
+ " chunks before passing to the neural network. Press ENTER directly to skip:"
)
@@ -112,7 +112,7 @@ if __name__ == "__main__":
agent_response = retrieval_chain.run(
query=user_input,
stop=["Human: "],
rejection_trigger_keywrods=EN_RETRIEVAL_QA_TRIGGER_KEYWORDS,
rejection_trigger_keywords=EN_RETRIEVAL_QA_TRIGGER_KEYWORDS,
rejection_answer=EN_RETRIEVAL_QA_REJECTION_ANSWER,
)
agent_response = agent_response.split("\n")[0]

2
applications/ColossalQA/examples/retrieval_conversation_en_customer_service.py
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@@ -142,7 +142,7 @@ if __name__ == "__main__":
agent_response = retrieval_chain.run(
query=user_input,
stop=["Human: "],
rejection_trigger_keywrods=EN_RETRIEVAL_QA_TRIGGER_KEYWORDS,
rejection_trigger_keywords=EN_RETRIEVAL_QA_TRIGGER_KEYWORDS,
rejection_answer=EN_RETRIEVAL_QA_REJECTION_ANSWER,
)
agent_response = agent_response.split("\n")[0]

2
applications/ColossalQA/examples/retrieval_conversation_universal.py
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@@ -11,7 +11,7 @@ if __name__ == '__main__':
parser.add_argument('--sql_file_path', type=str, default=None, help='path to the a empty folder for storing sql files for indexing')
args = parser.parse_args()
# Will ask for documents path in runnning time
# Will ask for documents path in running time
session = UniversalRetrievalConversation(files_en=None,
files_zh=None,
zh_model_path=args.zh_model_path, en_model_path=args.en_model_path,

2
applications/ColossalQA/examples/retrieval_conversation_zh.py
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@@ -107,7 +107,7 @@ if __name__ == "__main__":
query=user_input,
stop=["</答案>"],
doc_prefix="支持文档",
rejection_trigger_keywrods=ZH_RETRIEVAL_QA_TRIGGER_KEYWORDS,
rejection_trigger_keywords=ZH_RETRIEVAL_QA_TRIGGER_KEYWORDS,
rejection_answer=ZH_RETRIEVAL_QA_REJECTION_ANSWER,
)
print(f"Agent: {agent_response}")

2
applications/ColossalQA/examples/webui_demo/RAG_ChatBot.py
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@@ -140,7 +140,7 @@ class RAG_ChatBot:
result = self.rag_chain.run(
query=user_input,
stop=[memory.human_prefix + ": "],
rejection_trigger_keywrods=ZH_RETRIEVAL_QA_TRIGGER_KEYWORDS,
rejection_trigger_keywords=ZH_RETRIEVAL_QA_TRIGGER_KEYWORDS,
rejection_answer=ZH_RETRIEVAL_QA_REJECTION_ANSWER,
)
return result, memory