qa-genie 1.0.0a4

Generating Question Answer Database from Unstructured Text

QA Genie

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QA Genie is a Python package designed for generating questions and answers from unstructured data.

This package is built using the unofficial API of HuggingChat: hugchat. It leverages HuggingChat's capabilities for question and answer generation.

Note

This package is in its alpha release and more functionality will be added soon!
Update 1.0.0a3: This update enables the user to adjust iteration time. (Solves #1) Update 1.0.0a4: Enables user to get raw text output from chatbot for manual cleaning. Also fixes bugs in cleaning.

Installation

pip install qa_genie

or

pip3 install qa_genie

Usage

email = "[e-mail]" # huggingface account email
password = "your_password" # huggingface account password
model = "meta" # use "meta" to use meta-llama/Llama-2-70b-chat-hf or "oasst" to use OpenAssistant/oasst-sft-6-llama-30b

# Initialize chatbot
chatbot = get_generator(email, password, model)

# Example usage with a single text
text = "Lorem ipsum dolor sit amet, consectetur adipiscing elit."
result_single = extract_qa(chatbot, text, num_qn=3) # returns pandas.DataFrame with num_qn questions and answers

# Example usage with multiple texts
texts = ["Text 1", "Text 2", "Text 3"]
result_multiple = extract_qas(chatbot, texts, num_qn_each=3) # return pandas.DataFrame with num_qn_each questions and answers generated for each text

Important Note

As mentioned by Soulter, Server resources are precious, it is not recommended to request this API in a high frequency.

Contributing

Feel free to contribute to QA Genie by creating issues, submitting pull requests, or suggesting improvements. Your contributions are highly appreciated :)