mirror of https://github.com/kortix-ai/suna.git
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
import streamlit as st
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from core.ui.thread_management import display_thread_management
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from core.ui.message_display import display_messages_and_runner
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from core.ui.thread_runner import fetch_thread_runs, display_runs
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from core.ui.tool_display import display_tools
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from core.ui.utils import initialize_session_state, fetch_data, API_BASE_URL
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def main():
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initialize_session_state()
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fetch_data()
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st.set_page_config(page_title="AI Assistant Management System", layout="wide")
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st.sidebar.title("Navigation")
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mode = st.sidebar.radio("Select Mode", ["Thread Management", "Tools"])
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st.title("AI Assistant Management System")
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if mode == "Tools":
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display_tools()
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else: # Thread Management
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display_thread_management_content()
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def display_thread_management_content():
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col1, col2 = st.columns([1, 3])
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with col1:
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display_thread_management()
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if st.session_state.selected_thread:
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display_thread_runner(st.session_state.selected_thread)
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with col2:
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if st.session_state.selected_thread:
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display_messages_and_runner(st.session_state.selected_thread)
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def display_thread_runner(thread_id):
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st.subheader("Thread Runs")
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limit = st.number_input("Number of runs to retrieve", min_value=1, max_value=100, value=20)
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if st.button("Fetch Runs"):
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runs = fetch_thread_runs(thread_id, limit)
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display_runs(runs)
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if __name__ == "__main__":
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main() |