deleted unnecessary file

convosim.py

@@ -1,99 +0,0 @@
-import os
-import streamlit as st
-from streamlit.logger import get_logger
-from langchain.schema.messages import HumanMessage
-from utils.mongo_utils import get_db_client
-from utils.app_utils import create_memory_add_initial_message, get_random_name,  DEFAULT_NAMES_DF
-from utils.memory_utils import clear_memory, push_convo2db
-from utils.chain_utils import get_chain, custom_chain_predict
-from app_config import ISSUES, SOURCES, source2label, issue2label, MAX_MSG_COUNT, WARN_MSG_COUT
-
-logger = get_logger(__name__)
-openai_api_key = os.environ['OPENAI_API_KEY'] 
-temperature = 0.8
-# username = "barb-chase" #"ivnban-ctl"
-
-if "sent_messages" not in st.session_state:
-    st.session_state['sent_messages'] = 0
-if "total_messages" not in st.session_state:
-    st.session_state['total_messages'] = 0
-if "issue" not in st.session_state:
-    st.session_state['issue'] = ISSUES[0]
-if 'previous_source' not in st.session_state:
-    st.session_state['previous_source'] = SOURCES[0]
-if 'db_client' not in st.session_state:
-    st.session_state["db_client"] = get_db_client()
-if 'texter_name' not in st.session_state:
-    st.session_state["texter_name"] = get_random_name(names_df=DEFAULT_NAMES_DF)
-    logger.debug(f"texter name is {st.session_state['texter_name']}")
-
-memories = {'memory':{"issue": st.session_state['issue'], "source": st.session_state['previous_source']}}
-
-with st.sidebar:
-    username = st.text_input("Username", value='Dani', max_chars=30)
-    if 'counselor_name' not in st.session_state:
-        st.session_state["counselor_name"] = username #get_random_name(names_df=DEFAULT_NAMES_DF)
-    # temperature = st.slider("Temperature", 0., 1., value=0.8, step=0.1)
-    issue = st.selectbox("Select a Scenario", ISSUES, index=0, format_func=issue2label,
-                            on_change=clear_memory, kwargs={"memories":memories, "username":username, "language":"English"}
-                        )
-    supported_languages = ['en', "es"] if issue == "Anxiety" else ['en']
-    language = st.selectbox("Select a Language", supported_languages, index=0,
-                            format_func=lambda x: "English" if x=="en" else "Spanish",
-                            on_change=clear_memory, kwargs={"memories":memories, "username":username, "language":"English"}
-                        )
-                            
-    source = st.selectbox("Select a source Model A", SOURCES, index=0,
-                          format_func=source2label, 
-                        )
-
-changed_source = any([
-    st.session_state['previous_source'] != source,
-    st.session_state['issue'] != issue,
-    st.session_state['counselor_name'] != username,
-])
-if changed_source:
-    st.session_state["counselor_name"] = username
-    st.session_state["texter_name"] = get_random_name(names_df=DEFAULT_NAMES_DF)
-    logger.debug(f"texter name is {st.session_state['texter_name']}")
-    st.session_state['previous_source'] = source
-    st.session_state['issue'] = issue
-    st.session_state['sent_messages'] = 0
-    st.session_state['total_messages'] = 0
-create_memory_add_initial_message(memories,
-                                  issue, 
-                                  language, 
-                                  changed_source=changed_source, 
-                                  counselor_name=st.session_state["counselor_name"], 
-                                  texter_name=st.session_state["texter_name"])
-st.session_state['previous_source'] = source
-memoryA = st.session_state[list(memories.keys())[0]]
-# issue only without "." marker for model compatibility
-llm_chain, stopper = get_chain(issue, language, source, memoryA, temperature, texter_name=st.session_state["texter_name"])
-
-st.title("💬 Simulator") 
-st.session_state['total_messages'] = len(memoryA.chat_memory.messages)
-for msg in memoryA.buffer_as_messages:
-    role = "user" if type(msg) == HumanMessage else "assistant"
-    st.chat_message(role).write(msg.content)
-
-if prompt := st.chat_input(disabled=st.session_state['total_messages'] > MAX_MSG_COUNT - 4): #account for next interaction
-    st.session_state['sent_messages'] += 1
-    st.chat_message("user").write(prompt)
-    if 'convo_id' not in st.session_state:
-        push_convo2db(memories, username, language)
-    responses = custom_chain_predict(llm_chain, prompt, stopper)
-    # responses = llm_chain.predict(input=prompt, stop=stopper)
-    # response = update_memory_completion(prompt, st.session_state["memory"], OA_engine, temperature)
-    for response in responses:
-        st.chat_message("assistant").write(response)
-
-st.session_state['total_messages'] = len(memoryA.chat_memory.messages)
-if st.session_state['total_messages'] >= MAX_MSG_COUNT:
-    st.toast(f"Total of {MAX_MSG_COUNT} Messages reached. Conversation Ended", icon=":material/verified:")
-elif st.session_state['total_messages'] >= WARN_MSG_COUT:
-    st.toast(f"The conversation will end at {MAX_MSG_COUNT} Total Messages ", icon=":material/warning:")
-
-with st.sidebar:
-    st.markdown(f"### Total Sent Messages: :red[**{st.session_state['sent_messages']}**]")
-    st.markdown(f"### Total Messages: :red[**{st.session_state['total_messages']}**]")