app.py

import streamlit as st
from openai import OpenAI
 
def clear_chat():
    st.session_state.messages = []
 
st.title("Inference as a Service Playground")
 
endpoint = ""
hardware_option = ""
api_key = ""
base_url = ""
model_name = ""
 
with st.sidebar:
    st.button("Start New Chat", on_click=clear_chat)
   
    # Input fields for API key and base URL
    api_key = st.text_input("API Key", type="password")
    base_url = st.text_input("Base URL")
    model_name = st.text_input("Model Id")

if not api_key:
    api_key = "EMPTY"
    
client = OpenAI(api_key=api_key, base_url=base_url)
 
 
if "messages" not in st.session_state:
    st.session_state.messages = []
 
for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])
 
if prompt := st.chat_input("What is up?"):
    st.session_state.messages.append({"role": "user", "content": prompt})
    with st.chat_message("user"):
        st.markdown(prompt)
 
    with st.chat_message("assistant"):
        stream = client.chat.completions.create(
            model=model_name,
            messages=[
                {"role": m["role"], "content": m["content"]}
                for m in st.session_state.messages
            ],
            max_tokens=512,
            stream=True,
        )
        response = st.write_stream(stream)
    st.session_state.messages.append({"role": "assistant", "content": response})