Files
2026-07-13 13:36:17 +08:00

88 lines
2.9 KiB
Python

import streamlit as st
from streamlit.delta_generator import DeltaGenerator
from client import get_client
from conversation import postprocess_text, preprocess_text, Conversation, Role
client = get_client()
# Append a conversation into history, while show it in a new markdown block
def append_conversation(
conversation: Conversation,
history: list[Conversation],
placeholder: DeltaGenerator | None = None,
) -> None:
history.append(conversation)
conversation.show(placeholder)
def main(
prompt_text: str,
system_prompt: str,
top_p: float = 0.8,
temperature: float = 0.95,
repetition_penalty: float = 1.0,
max_new_tokens: int = 1024,
retry: bool = False
):
placeholder = st.empty()
with placeholder.container():
if 'chat_history' not in st.session_state:
st.session_state.chat_history = []
if prompt_text == "" and retry == False:
print("\n== Clean ==\n")
st.session_state.chat_history = []
return
history: list[Conversation] = st.session_state.chat_history
for conversation in history:
conversation.show()
if retry:
print("\n== Retry ==\n")
last_user_conversation_idx = None
for idx, conversation in enumerate(history):
if conversation.role == Role.USER:
last_user_conversation_idx = idx
if last_user_conversation_idx is not None:
prompt_text = history[last_user_conversation_idx].content
del history[last_user_conversation_idx:]
if prompt_text:
prompt_text = prompt_text.strip()
append_conversation(Conversation(Role.USER, prompt_text), history)
placeholder = st.empty()
message_placeholder = placeholder.chat_message(name="assistant", avatar="assistant")
markdown_placeholder = message_placeholder.empty()
output_text = ''
for response in client.generate_stream(
system_prompt,
tools=None,
history=history,
do_sample=True,
max_new_tokens=max_new_tokens,
temperature=temperature,
top_p=top_p,
stop_sequences=[str(Role.USER)],
repetition_penalty=repetition_penalty,
):
token = response.token
if response.token.special:
print("\n==Output:==\n", output_text)
match token.text.strip():
case '<|user|>':
break
case _:
st.error(f'Unexpected special token: {token.text.strip()}')
break
output_text += response.token.text
markdown_placeholder.markdown(postprocess_text(output_text + '▌'))
append_conversation(Conversation(
Role.ASSISTANT,
postprocess_text(output_text),
), history, markdown_placeholder)