diff --git a/hw5/app.py b/hw5/app.py
index 53ef173..bdde7c2 100644
--- a/hw5/app.py
+++ b/hw5/app.py
@@ -6,11 +6,12 @@ from langchain_core.prompts import PromptTemplate
 from langchain_core.output_parsers import StrOutputParser
 from langchain_community.document_loaders import AsyncHtmlLoader
 from dotenv import load_dotenv
+import requests
 from validators import url
 from time import time
 
 """
-Comments, TODO
+This application attempts to automatically solve CTF levels for CS492/CS592 Malware Reverse Engineering.
 """
 load_dotenv()
 promt = "You are a malware reverse engineer"
@@ -22,19 +23,47 @@ def get_rag_chain():
         | StrOutputParser()
     )
 
+session = requests.Session()
 
 llm = ChatOpenAI(model_name="gpt-4-turbo", temperature=0)
+url = "https://cs492.oregonctf.org/"
+
+def start_session():
+    payload = {
+        'username': 'demo0',
+        'passwd': 'malware'
+    }
+
+    headers = {
+        'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
+        'Content-Type': 'application/x-www-form-urlencoded'
+    }
+    session.post(url, data=payload, headers=headers)
+
+def download(setname):
+    payload = {
+        'setname': setname,
+    }
+    headers = {
+        'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
+        'Content-Type': 'application/x-www-form-urlencoded'
+    }
+    p = session.post(url+'/download', data=payload, headers=headers)
+    print(p.headers.get('Content-Type'))
+    zip = p.raw
+    print(zip)
 
 
-print(
-    "Welcome to HW4"
-)
 
 while True:
     try:
+        start_session()
+        print(session.cookies)
+        download('Ch01-08')
         line: str = input("llm>> ")
         if line:
             start_time = time()
+         
             result: str = get_rag_chain.invoke(line)
             end_time = time()
             elapsed_time = round(end_time - start_time, 2)