app.py

import os

import openai
import streamlit as st

from utils import load_base_prompt


import configparser

# Create a ConfigParser object
config = configparser.ConfigParser()

# Read the config.ini file
config.read('config.ini')

# Access the password
open_ai_key = config.get('access', 'openai_key')


print(f"Openai key: {open_ai_key}")



# hack from: https://discuss.streamlit.io/t/remove-ui-top-bar-forehead/22071/3
hide_streamlit_style = """
<style>
    #root > div:nth-child(1) > div > div > div > div > section > div {padding-top: 1.3rem;}
</style>

"""

# remove some padding bottom
st.markdown(
    """
<style>
    .stChatFloatingInputContainer {padding-bottom: 1rem;}
</style>
""",
    unsafe_allow_html=True,
)

# remove some padding in between
# st.markdown(
#     """
# <style>
#     .block-container.css-1y4p8pa.ea3mdgi4 {padding-bottom: .3rem;}
# </style>
# """,
#     unsafe_allow_html=True,
# )

# st.markdown(
#     """
# <style>
#     .block-container.st-emotion-cache-1y4p8pa.ea3mdgi4 {padding-bottom: .5rem;}
# </style>
# """,
#     unsafe_allow_html=True,
# )



st.title("Forher AI Chatbot")
st.markdown(hide_streamlit_style, unsafe_allow_html=True)

#openai.api_key = os.environ.get("open_ai_key")

openai.api_key =open_ai_key
base_prompt = load_base_prompt()

if "openai_model" not in st.session_state:
    #st.session_state["openai_model"] = "gpt-3.5-turbo"
    #st.session_state["openai_model"] = "gpt-4"
    st.session_state["openai_model"] = "gpt-4-1106-preview"
    

if "messages" not in st.session_state:
    st.session_state.messages = []

for message in st.session_state.messages:
    avatar = "👤" if message["role"] == "user" else "🤖"

    with st.chat_message(message["role"], avatar=avatar):
        st.markdown(message["content"])

if prompt := st.chat_input("Ask your question here", ):
    st.session_state.messages.append({"role": "user", "content": prompt})
    with st.chat_message("user", avatar="🧑‍💻"):
        st.markdown(prompt)

    with st.chat_message("assistant", avatar="🤖"):
        message_placeholder = st.empty()
        full_response = ""
        for response in openai.ChatCompletion.create(
                model=st.session_state["openai_model"],
                messages=
                [{"role": "system", "content": base_prompt}] +
                [
                    {"role": m["role"], "content": m["content"]}
                    for m in st.session_state.messages
                ],
                stream=True,
        ):
            full_response += response.choices[0].delta.get("content", "")
            message_placeholder.markdown(full_response + "▌")

        message_placeholder.markdown(full_response)

    st.session_state.messages.append({"role": "assistant", "content": full_response})