|
import os |
|
|
|
from openai import OpenAI |
|
import streamlit as st |
|
|
|
st.title("Trillion-7B-Preview") |
|
|
|
client = OpenAI( |
|
api_key=os.getenv("API_KEY"), |
|
base_url=os.getenv("BASE_URL"), |
|
) |
|
|
|
if "openai_model" not in st.session_state: |
|
st.session_state["openai_model"] = "trillionlabs/Trillion-7B-preview" |
|
|
|
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("Message"): |
|
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=st.session_state["openai_model"], |
|
messages=[ |
|
{"role": m["role"], "content": m["content"]} |
|
for m in st.session_state.messages |
|
], |
|
stream=True, |
|
extra_body={ |
|
"topP": 0.95, |
|
"maxTokens": 3072, |
|
"temperature": 0.6, |
|
}, |
|
) |
|
response = st.write_stream(stream) |
|
st.session_state.messages.append({"role": "assistant", "content": response}) |
|
|