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| 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}) | |