app.py

import os
import random
import time

from datasets import load_dataset
from openai import OpenAI
import pandas as pd
import streamlit as st

st.set_page_config(layout="wide")

CONGRESS_GOV_TYPE_MAP = {
    "hconres": "house-concurrent-resolution",
    "hjres": "house-joint-resolution",
    "hr": "house-bill",
    "hres": "house-resolution",
    "s": "senate-bill",
    "sconres": "senate-concurrent-resolution",
    "sjres": "senate-joint-resolution",
    "sres": "senate-resolution",
}


@st.cache_data(show_spinner="Fetching HF data from Hub ...")
def get_data():
    dsd = load_dataset("hyperdemocracy/us-congress", "unified_v1")
    df = pd.concat([ds.to_pandas() for ds in dsd.values()])
    df["text"] = df["textversions"].apply(lambda x: x[0]["text_v1"] if len(x) > 0 else "")
    df = df[df["text"].str.len() > 0]
    df1 = df[df["legis_id"]=="118-s-3207"]
    return pd.concat([df1, df.sample(n=100)])


def escape_markdown(text):
    MD_SPECIAL_CHARS = "\`*_{}[]()#+-.!$"
    for char in MD_SPECIAL_CHARS:
        text = text.replace(char, "\\"+char)
    return text


def get_sponsor_url(bioguide_id):
    return f"https://bioguide.congress.gov/search/bio/{bioguide_id}"


def get_congress_gov_url(congress_num, legis_type, legis_num):
    lt = CONGRESS_GOV_TYPE_MAP[legis_type]
    return f"https://www.congress.gov/bill/{congress_num}th-congress/{lt}/{legis_num}"


def show_bill(bdict):
    bill_url = get_congress_gov_url(
        bdict["congress_num"],
        bdict["legis_type"],
        bdict["legis_num"],
    )
    sponsor_url = get_sponsor_url(
        bdict["metadata"]["sponsors"][0]["bioguide_id"]
    )
    st.header("Metadata")
    st.write("**Bill ID**: [{}]({})".format(bdict["legis_id"], bill_url))
    st.write("**Sponsor**: [{}]({})".format(bdict["metadata"]["sponsors"][0]["full_name"], sponsor_url))
    st.write("**Title**: {}".format(bdict["metadata"]["title"]))
    st.write("**Introduced**: {}".format(bdict["metadata"]["introduced_date"]))
    st.write("**Policy Area**: {}".format(bdict["metadata"]["policy_area"]))
    st.write("**Subjects**: {}".format(bdict["metadata"]["subjects"]))
    st.write("**Character Count**: {}".format(len(bdict["text"])))
    st.write("**Estimated Tokens**: {}".format(len(bdict["text"])/4))

    st.header("Summary")
    if len(bdict["metadata"]["summaries"]) > 0:
        st.write(bdict["metadata"]["summaries"][0])
#        st.markdown(bdict["metadata"]["summaries"][0]["text"], unsafe_allow_html=True)
    else:
        st.write("Not Available")

    st.header("Text")
    st.markdown(escape_markdown(bdict["text"]))





if "messages" not in st.session_state:
    st.session_state["messages"] = []
if "openai_model" not in st.session_state:
    st.session_state["openai_model"] = "gpt-3.5-turbo-0125"
if "openai_api_key" not in st.session_state:
    st.session_state["openai_api_key"] = None


df = get_data()


with st.sidebar:

    st.header("Configuration")

    openai_api_key = st.text_input(
        label = "OpenAI API Key:",
        help="Required for OpenAI Models",
        type="password",
        key="openai_api_key",
    )

    MODELS = ["gpt-3.5-turbo-0125", "gpt-4-0125-preview"]
    st.selectbox("Model Name", MODELS, key="openai_model")

    LEGIS_IDS = df["legis_id"].to_list()
    st.selectbox("Legis ID", LEGIS_IDS, key="legis_id")
    bdict = df[df["legis_id"] == st.session_state["legis_id"]].iloc[0].to_dict()

    if st.button("Clear Messages"):
        st.session_state["messages"] = []

    st.header("Debug")

    with st.expander("Show Messages"):
        st.write(st.session_state["messages"])

    with st.expander("Show Bill Dictionary"):
        st.write(bdict)


system_message = {
    "role": "system",
    "content": "You are a helpful legislative question answering assistant. Use the following legislative text to help answer user questions.\n\n---" + bdict["text"],
}


with st.expander("Show Bill Details"):
    with st.container(height=600):
        show_bill(bdict)


for message in st.session_state["messages"]:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])


if prompt := st.chat_input("How can I help you understand this bill?"):

    if st.session_state["openai_api_key"] is None:
        st.warning("Enter API key to chat")
        st.stop()
    else:
        client = OpenAI(api_key=openai_api_key)

    with st.chat_message("user"):
        st.markdown(prompt)
    st.session_state["messages"].append({"role": "user", "content": prompt})

    with st.chat_message("assistant"):
        stream = client.chat.completions.create(
            model=st.session_state["openai_model"],
            messages=[system_message] + [
                {"role": msg["role"], "content": msg["content"]}
                for msg in st.session_state.messages
            ],
            temperature=0.0,
            stream=True,
        )
        response = st.write_stream(stream)

    st.session_state["messages"].append({"role": "assistant", "content": response})