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Parent(s):
0c111b7
Refactor chatbot.py to use getYamlConfig for loading prompts and streamline input processing
Browse files- pages/chatbot.py +24 -27
pages/chatbot.py
CHANGED
@@ -1,8 +1,8 @@
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import streamlit as st
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import yaml
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import os
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from streamlit_chat import message
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from model import selector
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def display_messages():
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for i, (msg, is_user) in enumerate(st.session_state["messages"]):
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@@ -10,13 +10,6 @@ def display_messages():
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st.session_state["thinking_spinner"] = st.empty()
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# Charger les données YAML
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def load_yaml(file_path):
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with open(file_path, 'r', encoding='utf-8') as file:
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data = yaml.safe_load(file)
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return data
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def process_input():
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if "user_input" in st.session_state and st.session_state["user_input"] and len(st.session_state["user_input"].strip()) > 0:
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user_text = st.session_state["user_input"].strip()
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@@ -24,24 +17,26 @@ def process_input():
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prompt_sys = st.session_state.prompt_system if 'prompt_system' in st.session_state and st.session_state.prompt_system != '' else ""
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with st.session_state["thinking_spinner"], st.spinner(f"Je réfléchis"):
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agent_text = st.session_state["assistant"].ask(user_text, prompt_sys, st.session_state["messages"] if "messages" in st.session_state else [], variables=st.session_state["data_dict"])
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st.session_state["messages"].append((user_text, True))
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st.session_state["messages"].append((agent_text, False))
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@st.dialog("Choisissez votre prompt")
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def show_prompts():
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for categroy in yaml_data
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for item in yaml_data[
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if
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st.session_state["user_input"] = item
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def page():
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st.subheader("Posez vos questions")
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@@ -51,16 +46,18 @@ def page():
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if "assistant" not in st.session_state:
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st.text("Assistant non initialisé")
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# Bouton pour ouvrir la modale
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if st.button("Prompts pré-définis"):
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show_prompts()
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selector.ModelSelector()
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display_messages()
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st.text_input("Message", key="user_input", on_change=process_input)
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page()
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import streamlit as st
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from streamlit_chat import message
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from model import selector
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from util import getYamlConfig
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def display_messages():
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for i, (msg, is_user) in enumerate(st.session_state["messages"]):
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st.session_state["thinking_spinner"] = st.empty()
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def process_input():
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if "user_input" in st.session_state and st.session_state["user_input"] and len(st.session_state["user_input"].strip()) > 0:
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user_text = st.session_state["user_input"].strip()
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prompt_sys = st.session_state.prompt_system if 'prompt_system' in st.session_state and st.session_state.prompt_system != '' else ""
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with st.session_state["thinking_spinner"], st.spinner(f"Je réfléchis"):
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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"])
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st.session_state["messages"].append((user_text, True))
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st.session_state["messages"].append((agent_text, False))
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st.session_state["user_input"] = ""
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def show_prompts():
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yaml_data = getYamlConfig()["prompts"]
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expander = st.expander("Prompts pré-définis")
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for categroy in yaml_data:
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expander.write(categroy.capitalize())
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for item in yaml_data[categroy]:
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if expander.button(item, key=f"button_{item}"):
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st.session_state["user_input"] = item
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process_input()
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def page():
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st.subheader("Posez vos questions")
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if "assistant" not in st.session_state:
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st.text("Assistant non initialisé")
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# Collpase for default prompts
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show_prompts()
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# Models selector
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selector.ModelSelector()
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# Displaying messages
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display_messages()
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# Input user query
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st.text_input("Message", key="user_input", on_change=process_input)
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page()
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