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import streamlit as st |
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from src.caller import OpenAI_Caller |
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from src.committee import Committee |
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from datasets import load_dataset |
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st.title("Committee") |
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committee_dict = { |
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"chair": { |
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"model_caller": OpenAI_Caller('gpt-4-1106-preview') |
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}, |
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"member": [ |
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{ |
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"bias_type": "age", |
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"model_caller": OpenAI_Caller('gpt-4-1106-preview') |
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}, |
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{ |
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"bias_type": "gender", |
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"model_caller": OpenAI_Caller('gpt-4-1106-preview') |
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}, |
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{ |
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"bias_type": "religion", |
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"model_caller": OpenAI_Caller('gpt-4-1106-preview') |
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}, |
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] |
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} |
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committee = Committee(committee_dict=committee_dict) |
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dataset = load_dataset("Elfsong/BBQ") |
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raw_instance = dataset['age'][0] |
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instance = { |
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"context": raw_instance['context'], |
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"question": raw_instance['question'], |
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"ans0": raw_instance['ans0'], |
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"ans1": raw_instance['ans1'], |
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"ans2": raw_instance['ans2'], |
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} |
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instance = st.data_editor(instance) |
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print(instance) |
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st.header("Propose") |
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proposals = list() |
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for member in committee.members: |
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st.text("member is proposing...") |
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proposal = member.propose(instance) |
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st.markdown(proposal) |
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proposals += [proposal] |
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st.header("Motion") |
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motion = committee.chair.craft_motion(proposals, instance) |
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st.markdown(motion) |
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st.header("Vote") |
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vote = [member.vote(motion, instance) for member in committee.members] |
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st.markdown(vote) |
