PyCafe - Streamlit - A LLM power Chat App using Streamlit and PyCafe

app.py
requirements.txt
app.py
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import streamlit as st
from openai import OpenAI

with st.sidebar:
    openai_api_key = st.text_input("OpenAI API Key", key="chatbot_api_key", type="password")
    "[Get an OpenAI API key](https://platform.openai.com/account/api-keys)"
    "[View the source code](https://github.com/streamlit/llm-examples/blob/main/Chatbot.py)"
    st.markdown("---")
    st.markdown("# About")
    st.markdown(
        "📖 This App is template of Chat App powered by LLM and Py.Cafe Platofrm"
    )
    st.markdown("Made by [DR. AMJAD RAZA](https://www.linkedin.com/in/amjadraza/)")
    st.markdown("Credits for Template [View the source code](https://github.com/streamlit/llm-examples/blob/main/Chatbot.py)")
    st.markdown("---")
st.title("💬 Chatbot")

if "messages" not in st.session_state:
    st.session_state["messages"] = [{"role": "assistant", "content": "How can I help you?"}]

for msg in st.session_state.messages:
    st.chat_message(msg["role"]).write(msg["content"])

if prompt := st.chat_input():
    if not openai_api_key:
        st.info("Please add your OpenAI API key to continue.")
        st.stop()

    client = OpenAI(api_key=openai_api_key)
    st.session_state.messages.append({"role": "user", "content": prompt})
    st.chat_message("user").write(prompt)
    response = client.chat.completions.create(model="gpt-3.5-turbo", messages=st.session_state.messages)
    msg = response.choices[0].message.content
    st.session_state.messages.append({"role": "assistant", "content": msg})
    st.chat_message("assistant").write(msg)