Refactor chatbot.py to use getYamlConfig for loading prompts and streamline input processing
72cdb72
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() |