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anuksharam/websitespace

sourceHugging Faceupdated 2y agoView on Hugging Face
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chat.py44 linesDownload Raw Back to root
1import streamlit as st2from openai import OpenAI3 4st.title("Chat Demo")5 6with st.sidebar:7    model = st.radio("Select an LLM:", ['llava', 'gemma2', 'phi3', 'llama3', 'embed-mistral', 'mixtral', 'gorilla', 'groq-tools'])8    st.session_state["model"] =  model9 10 11 12if "messages" not in st.session_state:13    st.session_state.messages = []14 15for message in st.session_state.messages:16    with st.chat_message(message["role"]):17        st.markdown(message["content"])18 19client = OpenAI(20    api_key = st.secrets["LITELLM_KEY"], 21    base_url = "https://llm.nrp-nautilus.io"22)23 24# Button to clear session state25if st.button('Clear History'):26    st.session_state.clear()27 28if prompt := st.chat_input("What is up?"):29    st.session_state.messages.append({"role": "user", "content": prompt})30    with st.chat_message("user"):31        st.markdown(prompt)32 33    with st.chat_message("assistant"):34        stream = client.chat.completions.create(35            model=st.session_state["model"],36            messages=[37                {"role": m["role"], "content": m["content"]}38                for m in st.session_state.messages39            ],40            stream=True,41        )42        response = st.write_stream(stream)43    st.session_state.messages.append({"role": "assistant", "content": response})44