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"""Module doc string"""
import openai
import streamlit as st
from openai import OpenAI
def return_true():
"""_summary_"""
return True
def reset_history():
"""_summary_"""
st.session_state.messages = []
def check_openai_api_key():
"""_summary_"""
try:
client = OpenAI(api_key=st.session_state.openai_api_key)
try:
client.models.list()
except openai.AuthenticationError as error:
with st.chat_message("assistant"):
st.error(str(error))
return False
return True
except Exception as error:
with st.chat_message("assistant"):
st.error(str(error))
return False
def main():
"""_summary_"""
st.set_page_config(
page_title="Test", layout="centered", initial_sidebar_state="auto"
)
st.title("Simple Chat Bot")
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"
if "openai_api_key" not in st.session_state:
st.session_state["openai_api_key"] = None
if "openai_maxtokens" not in st.session_state:
st.session_state["openai_maxtokens"] = 50
if st.session_state.openai_api_key is not None:
if check_openai_api_key():
client = OpenAI(api_key=st.session_state.openai_api_key)
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
if prompt := st.chat_input("Type your Query"):
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=[
{"role": m["role"], "content": m["content"]}
for m in st.session_state.messages
],
max_tokens=st.session_state["openai_maxtokens"],
stream=True,
)
response = st.write_stream(stream)
st.session_state.messages.append(
{"role": "assistant", "content": response}
)
else:
reset_history()
with st.sidebar:
st.session_state["openai_api_key"] = st.text_input(
label="OpenAI API key",
value="***",
help="This will not be saved or stored.",
type="password",
)
st.selectbox(
"Select the GPT model",
("gpt-3.5-turbo", "gpt-4-turbo-preview"),
)
st.slider(
"Max Tokens", min_value=20, max_value=80, step=10, key="openai_maxtokens"
)
st.button(label="Reset Chat", on_click=reset_history)
if __name__ == "__main__":
main()
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