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import streamlit as st
from src.buildgraph import run_workflow
import time
st.set_page_config(page_title="LawGPT")
col1, col2, col3 = st.columns([1,4,1])
with col2:
st.image("assets/Black Bold Initial AI Business Logo.jpg")
st.markdown(
"""
<style>
.stApp, .ea3mdgi6{
background-color:#000000;
}
div.stButton > button:first-child {
background-color: #ffd0d0;
}
div.stButton > button:active {
# background-color: #ff6262;
}
div[data-testid="stStatusWidget"] div button {
display: none;
}
.reportview-container {
margin-top: -2em;
}
#MainMenu {visibility: hidden;}
.stDeployButton {display:none;}
footer {visibility: hidden;}
#stDecoration {display:none;}
button[title="View fullscreen"]{
visibility: hidden;
}
button:first-child{
background-color : transparent !important;
}
</style>
""",
unsafe_allow_html=True,
)
st.title("AI Chatbot")
# Initialize chat history and thread_id
if "messages" not in st.session_state:
st.session_state.messages = []
if "thread_id" not in st.session_state:
st.session_state.thread_id = "streamlit_thread"
config = {"recursion_limit": 8, "configurable": {"thread_id": st.session_state.thread_id}}
# 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'])
# React to user input
if prompt := st.chat_input("What is your question?"):
# Display user message in chat message container
st.chat_message("user").markdown(prompt)
user_message = {"role": "user", "content": prompt}
# Add user message to chat history
st.session_state.messages.append(user_message)
response = run_workflow(prompt, config)
response_content = response.get("generation", "I'm sorry, I couldn't generate a response.")
# Display assistant response in chat message container
with st.chat_message("assistant"):
message_placeholder = st.empty()
full_response = "⚠️ **_Note: Information provided may be inaccurate._** \n\n\n"
for char in response_content:
full_response += char
time.sleep(0.03)
message_placeholder.markdown(full_response + "|")
message_placeholder.markdown(full_response)
print(full_response)
# Add assistant response to chat history
st.session_state.messages.append({"role": "assistant", "content": full_response})
def reset_conversation():
st.session_state.messages = []
st.button('Reset All Chat 🗑️', on_click=reset_conversation)
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