pages/comparisor.py

import os
import random
import datetime as dt
import streamlit as st
from streamlit.logger import get_logger
from langchain.schema.messages import HumanMessage
from mongo_utils import get_db_client, new_comparison, new_battle_result
from app_utils import create_memory_add_initial_message, clear_memory, get_chain, push_convo2db
from app_config import ISSUES, SOURCES, source2label

logger = get_logger(__name__)
openai_api_key = os.environ['OPENAI_API_KEY'] 
memories = {
    'memoryA': {"issue": ISSUES[0], "source": SOURCES[0]},
    'memoryB': {"issue": ISSUES[0], "source": SOURCES[1]},
    'commonMemory': {"issue": ISSUES[0], "source": SOURCES[0]}
}
if 'db_client' not in st.session_state:
    st.session_state["db_client"] = get_db_client()
if 'previous_sourceA' not in st.session_state:
    st.session_state['previous_sourceA'] = SOURCES[0]
if 'previous_sourceB' not in st.session_state:
    st.session_state['previous_sourceB'] = SOURCES[1]

def delete_last_message(memory):
    last_prompt = memory.chat_memory.messages[-2].content
    memory.chat_memory.messages = memory.chat_memory.messages[:-2]
    return last_prompt

def replace_last_message(memory, new_message):
    memory.chat_memory.messages = memory.chat_memory.messages[:-1]
    memory.chat_memory.add_ai_message(new_message)

def regenerateA():
    last_prompt = delete_last_message(memoryA)
    new_response = llm_chainA.predict(input=last_prompt, stop=stopperA)
    col1.chat_message("user").write(last_prompt)
    col1.chat_message("assistant").write(new_response)
    return new_response

def regenerateB():
    last_prompt = delete_last_message(memoryB)
    new_response = llm_chainB.predict(input=last_prompt, stop=stopperB)
    col2.chat_message("user").write(last_prompt)
    col2.chat_message("assistant").write(new_response)
    return new_response

def replaceA():
    last_prompt = memoryB.chat_memory.messages[-2].content
    new_message = memoryB.chat_memory.messages[-1].content
    replace_last_message(memoryA, new_message)
    st.session_state['commonMemory'].save_context({"inputs":last_prompt}, {"outputs":new_message})

    new_battle_result(st.session_state['db_client'],
                    st.session_state['comparison_id'],
                    st.session_state['convo_id'],
                    username, sourceA, sourceB, winner='model_two'
                    )

def replaceB():
    last_prompt = memoryA.chat_memory.messages[-2].content
    new_message = memoryA.chat_memory.messages[-1].content
    replace_last_message(memoryB, new_message)
    st.session_state['commonMemory'].save_context({"inputs":last_prompt}, {"outputs":new_message})

    new_battle_result(st.session_state['db_client'],
                    st.session_state['comparison_id'],
                    st.session_state['convo_id'],
                    username, sourceA, sourceB, winner='model_one'
                    )

def regenerateBoth():
    promt_ts = dt.datetime.now(tz=dt.timezone.utc)
    new_battle_result(st.session_state['db_client'],
                    st.session_state['comparison_id'],
                    st.session_state['convo_id'],
                    username, sourceA, sourceB, winner='both_bad'
                    )
    
    responseA = regenerateA()
    responseB = regenerateB()
    completion_ts = dt.datetime.now(tz=dt.timezone.utc)
    new_comparison(st.session_state['db_client'], promt_ts, completion_ts,
                   st.session_state['commonMemory'].buffer_as_str, prompt, responseA, responseB)

def bothGood():
    if len(memoryA.buffer_as_messages) == 1:
        pass
    else:
        i = random.choice([memoryA, memoryB])
        last_prompt = i.chat_memory.messages[-2].content
        last_reponse = i.chat_memory.messages[-1].content
        st.session_state['commonMemory'].save_context({"inputs":last_prompt}, {"outputs":last_reponse})
        
        new_battle_result(st.session_state['db_client'],
                    st.session_state['comparison_id'],
                    st.session_state['convo_id'],
                    username, sourceA, sourceB, winner='tie'
                    )

with st.sidebar:
    username = st.text_input("Username", value='ivnban-ctl', max_chars=30)
    issue = st.selectbox("Select an Issue", ISSUES, index=0,
                            on_change=clear_memory, kwargs={"memories":memories, "username":username, "language":"English"}
                        )
    supported_languages = ['English', "Spanish"] if issue == "Anxiety" else ['English']
    language = st.selectbox("Select a Language", supported_languages, index=0,
                            on_change=clear_memory, kwargs={"memories":memories, "username":username, "language":"English"}
                        )
    
    with st.expander("Model A"):
        temperatureA = st.slider("Temperature Model A", 0., 1., value=0.8, step=0.1)
        sourceA = st.selectbox("Select a source Model A", SOURCES, index=0,
                               format_func=source2label
                            )
    with st.expander("Model B"):
        temperatureB = st.slider("Temperature Model B", 0., 1., value=0.8, step=0.1)
        sourceB = st.selectbox("Select a source Model B", SOURCES, index=1,
                               format_func=source2label
                            )
        
    sbcol1, sbcol2 = st.columns(2)
    beta = sbcol1.button("A is better", on_click=replaceB)
    betb = sbcol2.button("B is better", on_click=replaceA)

    same = sbcol1.button("Tie", on_click=bothGood)
    bbad = sbcol2.button("Both are bad", on_click=regenerateBoth)
    
    # regenA = sbcol1.button("Regenerate A", on_click=regenerateA)
    # regenB = sbcol2.button("Regenerate B", on_click=regenerateB)
    clear = st.button("Clear History", on_click=clear_memory, kwargs={"memories":memories, "username":username, "language":language})

memories = {
    'memoryA': {"issue": issue, "source": sourceA},
    'memoryB': {"issue": issue, "source": sourceB},
    'commonMemory': {"issue": issue, "source": SOURCES[0]}
}
changed_source = any([
    st.session_state['previous_sourceA'] != sourceA,
    st.session_state['previous_sourceB'] != sourceB
])
create_memory_add_initial_message(memories, username, language, changed_source=changed_source)
memoryA = st.session_state[list(memories.keys())[0]]
memoryB = st.session_state[list(memories.keys())[1]]
llm_chainA, stopperA = get_chain(issue, language, sourceA, memoryA, temperatureA)
llm_chainB, stopperB = get_chain(issue, language, sourceB, memoryB, temperatureB)

st.title(f"💬 History") 
for msg in st.session_state['commonMemory'].buffer_as_messages:
    role = "user" if type(msg) == HumanMessage else "assistant"
    st.chat_message(role).write(msg.content)


col1, col2 = st.columns(2)
col1.title(f"💬 Simulator A") 
col2.title(f"💬 Simulator B") 

def reset_buttons():
    buttons = [beta, betb, same, bbad, 
               #regenA, regenB
               ]
    for but in buttons:
        but = False

def disable_chat():
    buttons = [beta, betb, same, bbad]
    if any(buttons):
        return False
    else:
        return True

if prompt := st.chat_input(disabled=disable_chat()):
    if 'convo_id' not in st.session_state:
        push_convo2db(memories, username, language)

    promt_ts = dt.datetime.now(tz=dt.timezone.utc)
    col1.chat_message("user").write(prompt)
    col2.chat_message("user").write(prompt)

    responseA = llm_chainA.predict(input=prompt, stop=stopperA)
    responseB = llm_chainB.predict(input=prompt, stop=stopperB)
    completion_ts = dt.datetime.now(tz=dt.timezone.utc)

    new_comparison(st.session_state['db_client'], promt_ts, completion_ts,
                   st.session_state['commonMemory'].buffer_as_str, prompt, responseA, responseB)
    
    col1.chat_message("assistant").write(responseA)
    col2.chat_message("assistant").write(responseB)

    reset_buttons()