common / pages /chatbot.py
Refactor chatbot.py to use getYamlConfig for loading prompts and streamline input processing
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2.02 kB
import streamlit as st
from streamlit_chat import message
from model import selector
from util import getYamlConfig
def display_messages():
for i, (msg, is_user) in enumerate(st.session_state["messages"]):
message(msg, is_user=is_user, key=str(i))
st.session_state["thinking_spinner"] = st.empty()
def process_input():
if "user_input" in st.session_state and st.session_state["user_input"] and len(st.session_state["user_input"].strip()) > 0:
user_text = st.session_state["user_input"].strip()
prompt_sys = st.session_state.prompt_system if 'prompt_system' in st.session_state and st.session_state.prompt_system != '' else ""
with st.session_state["thinking_spinner"], st.spinner(f"Je réfléchis"):
agent_text = st.session_state["assistant"].ask(user_text, prompt_system=prompt_sys, messages=st.session_state["messages"] if "messages" in st.session_state else [], variables=st.session_state["data_dict"])
st.session_state["messages"].append((user_text, True))
st.session_state["messages"].append((agent_text, False))
st.session_state["user_input"] = ""
def show_prompts():
yaml_data = getYamlConfig()["prompts"]
expander = st.expander("Prompts pré-définis")
for categroy in yaml_data:
expander.write(categroy.capitalize())
for item in yaml_data[categroy]:
if expander.button(item, key=f"button_{item}"):
st.session_state["user_input"] = item
process_input()
def page():
st.subheader("Posez vos questions")
if "user_input" in st.session_state:
process_input()
if "assistant" not in st.session_state:
st.text("Assistant non initialisé")
# Collpase for default prompts
show_prompts()
# Models selector
selector.ModelSelector()
# Displaying messages
display_messages()
# Input user query
st.text_input("Message", key="user_input", on_change=process_input)
page()