Installation

With pip

pip3 install promptify

pip3 install git+https://github.com/promptslab/Promptify.git

Quick tour

frompromptifyimportPrompter,OpenAI,Pipelinesentence="""The patient is a 93-year-old female with a medical                history of chronic right hip pain, osteoporosis,                hypertension, depression, and chronic atrial                fibrillation admitted for evaluation and management                of severe nausea and vomiting and urinary tract                infection"""model=OpenAI(api_key)# or `HubModel()` for Huggingface-based inference or 'Azure' etcprompter=Prompter('ner.jinja')# select a template or provide custom templatepipe=Pipeline(prompter ,model)result=pipe.fit(sentence,domain="medical",labels=None)### Output[    {"E":"93-year-old","T":"Age"},    {"E":"chronic right hip pain","T":"Medical Condition"},    {"E":"osteoporosis","T":"Medical Condition"},    {"E":"hypertension","T":"Medical Condition"},    {"E":"depression","T":"Medical Condition"},    {"E":"chronic atrial fibrillation","T":"Medical Condition"},    {"E":"severe nausea and vomiting","T":"Symptom"},    {"E":"urinary tract infection","T":"Medical Condition"},    {"Branch":"Internal Medicine","Group":"Geriatrics"},]

GPT-3 Example with NER, MultiLabel, Question Generation Task

Features 🎮

Supporting wide-range of Prompt-Based NLP tasks :

Docs

Community

@misc{Promptify2022,  title = {Promptify: Structured Output from LLMs},  author = {Pal, Ankit},  year = {2022},  howpublished = {\url{https://github.com/promptslab/Promptify}},  note = {Prompt-Engineering components for NLP tasks in Python}}

💁 Contributing