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import streamlit as st
from infer import run
PAGE_TITLE: str = "Nano Shakespeare GPT "
PAGE_ICON: str = "π€"
st.set_page_config(page_title=PAGE_TITLE, page_icon=PAGE_ICON)
st.title("Nano Shakespeare GPT")
def clear_chat() -> None:
st.session_state.messages = []
# Initialize chat history
if "messages" not in st.session_state:
st.session_state.messages = []
# Display chat messages from history on app rerun
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
# Accept user input
if prompt := st.chat_input("What is up?"):
# Add user message to chat history
st.session_state.messages.append({"role": "user", "content": prompt})
# Display user message in chat message container
with st.chat_message("user"):
st.markdown(prompt)
# Display assistant response in chat message container
with st.chat_message("assistant"):
message_placeholder = st.empty()
full_response = ""
shakespeare_response = run(prompt)
# Simulate stream of response with milliseconds delay
for chunk in shakespeare_response.split():
full_response += chunk + " "
# time.sleep(0.05)
# Add a blinking cursor to simulate typing
message_placeholder.markdown(full_response + "β")
message_placeholder.markdown(full_response)
# Add assistant response to chat history
st.session_state.messages.append({"role": "assistant", "content": full_response})
st.button(label="Clear Chat", on_click=clear_chat)
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