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import streamlit as st |
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import openai |
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import os |
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import re |
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import ast |
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openai.api_key = os.getenv("OPENAI_API_KEY") |
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SYSTEM_PROMPT = "You are a smart and intelligent Named Entity Recognition (NER) system. I will provide you the definition of the entities you need to extract, the sentence from where your extract the entities and the output format with examples." |
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USER_PROMPT_1 = "Are you clear about your role?" |
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ASSISTANT_PROMPT_1 = "Sure, I'm ready to help you with your NER task. Please provide me with the necessary information to get started." |
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GUIDELINES_PROMPT = ( |
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"Entity Definition:\n" |
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"1. PERSON: Short name or full name of a person from any geographic regions.\n" |
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"2. DATE: Any format of dates. Dates can also be in natural language.\n" |
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"3. LOC: Name of any geographic location, like cities, countries, continents, districts etc.\n" |
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"\n" |
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"Output Format:\n" |
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"{{'PERSON': [list of entities present], 'DATE': [list of entities present], 'LOC': [list of entities present]}}\n" |
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"If no entities are presented in any categories keep it None\n" |
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"\n" |
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"Examples:\n" |
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"\n" |
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"1. Sentence: Mr. Jacob lives in Madrid since 12th January 2015.\n" |
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"Output: {{'PERSON': ['Mr. Jacob'], 'DATE': ['12th January 2015'], 'LOC': ['Madrid']}}\n" |
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"\n" |
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"2. Sentence: Mr. Rajeev Mishra and Sunita Roy are friends and they meet each other on 24/03/1998.\n" |
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"Output: {{'PERSON': ['Mr. Rajeev Mishra', 'Sunita Roy'], 'DATE': ['24/03/1998'], 'LOC': ['None']}}\n" |
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"\n" |
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"3. Sentence: {}\n" |
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"Output: " |
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) |
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COLORED_ENTITY = {"PERSON": "red", "DATE": "blue", "LOC": "green"} |
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def openai_chat_completion_response(final_prompt): |
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response = openai.ChatCompletion.create( |
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model="gpt-3.5-turbo", |
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messages=[ |
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{"role": "system", "content": SYSTEM_PROMPT}, |
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{"role": "user", "content": USER_PROMPT_1}, |
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{"role": "assistant", "content": ASSISTANT_PROMPT_1}, |
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{"role": "user", "content": final_prompt}, |
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], |
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) |
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return response["choices"][0]["message"]["content"].strip(" \n") |
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my_sentence = st.text_input("Your Sentence") |
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if st.button("Submit"): |
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GUIDELINES_PROMPT = GUIDELINES_PROMPT.format(my_sentence) |
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ners = openai_chat_completion_response(GUIDELINES_PROMPT) |
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ners_dictionary = ast.literal_eval(ners) |
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for entity_type, entity_list in ners_dictionary.items(): |
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entity_list = list(set(entity_list)) |
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for ent in entity_list: |
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if ent != "None": |
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my_sentence = re.sub( |
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ent, |
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":" |
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+ COLORED_ENTITY[entity_type] |
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+ "[" |
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+ ent |
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+ "\[" |
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+ entity_type |
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+ "\]" |
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+ "]", |
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my_sentence, |
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) |
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st.markdown(my_sentence) |
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