Spaces:
Sleeping
Sleeping
File size: 1,315 Bytes
3a53910 4abd366 12f69dd 8d7cbbe 3a53910 8d7cbbe 3a53910 8d7cbbe 3a53910 8d7cbbe 3a53910 8d7cbbe 3a53910 8d7cbbe a86d2bc 3a53910 8d7cbbe 3a53910 8d7cbbe 3a53910 58a0e00 8d7cbbe |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import streamlit as st
from trainer import train
from tester import test
def main():
st.title("Beyond the Anti-Jam: Integration of DRL with LLM")
st.sidebar.header("Make Your Environment Configuration")
mode = st.sidebar.radio("Choose Mode", ["Auto", "Manual"])
if mode == "Auto":
jammer_type = "dynamic"
channel_switching_cost = 0.1
else:
jammer_type = st.sidebar.selectbox("Select Jammer Type", ["constant", "sweeping", "random", "dynamic"])
channel_switching_cost = st.sidebar.selectbox("Select Channel Switching Cost", [0, 0.05, 0.1, 0.15, 0.2])
st.sidebar.subheader("Configuration:")
st.sidebar.write(f"Jammer Type: {jammer_type}")
st.sidebar.write(f"Channel Switching Cost: {channel_switching_cost}")
start_button = st.sidebar.button('Start')
if start_button:
agent = perform_training(jammer_type, channel_switching_cost)
# test(agent, jammer_type, channel_switching_cost)
def perform_training(jammer_type, channel_switching_cost):
agent = train(jammer_type, channel_switching_cost)
return agent
def perform_testing(agent, jammer_type, channel_switching_cost):
test(agent, jammer_type, channel_switching_cost)
if __name__ == "__main__":
main()
|