diff --git a/rss_gen.py b/rss_gen.py
index cfed11c..16055bf 100644
--- a/rss_gen.py
+++ b/rss_gen.py
@@ -33,7 +33,7 @@ XML_END = """</channel></rss>"""
 load_dotenv()
 copyparty_token = os.getenv('COPYPARTY_TOKEN')
 
-def make_torrent_entry(name, timestamp, hash, category):
+def make_torrent_entry(name, timestamp, filehash, category):
     if category:
         category = "DODI_Repack"
     else:
@@ -42,7 +42,7 @@ def make_torrent_entry(name, timestamp, hash, category):
 	                <title><![CDATA[{name}]]></title>
 					<pubDate>{timestamp} +0000</pubDate>
 					<category>{category}</category>
-                    <guid>{name}</guid>
+                    <guid>{filehash}</guid>
 	                <link><![CDATA[https://torfiles.fieryeagle.org/{urlencode(name)}]]></link>
 	                <description><![CDATA[Category: {category} → {timestamp} +0000]]></description>
                 </item>"""
@@ -56,13 +56,13 @@ def write_file(path, data):
 
 def create_25_recent_feed(df):
     most_recent_25 = df.sort_values("timestamp", ascending=False).head(25)
-    latest_25_xml = "\n".join([make_torrent_entry(i[0], i[2], i[3], i[4]) for i in most_recent_25.values])
+    latest_25_xml = "\n".join([make_torrent_entry(i["name"], i["timestamp"], i["filehash"], i["is_repack"]) for i in most_recent_25])
     write_file("RSS/recent_25.xml", XML_BEGIN_RECENT+latest_25_xml+XML_END)
 
 def create_48h_latest(df):
     last_48_hours = df[df['timestamp'] > datetime.now() - pd.Timedelta(days=2)]
     last_48_hours = last_48_hours.sort_values("timestamp", ascending=False)
-    last_48_xml = "\n".join([make_torrent_entry(i[0], i[2], i[3], i[4]) for i in last_48_hours.values])
+    last_48_xml = "\n".join([make_torrent_entry(i["name"], i["timestamp"], i["filehash"], i["is_repack"]) for i in last_48_hours])
     write_file("RSS/latest_48h.xml", XML_BEGIN_LAST+last_48_xml+XML_END)
 
 def create_df():
@@ -71,7 +71,7 @@ def create_df():
     rows = [i.find_all("td") for i in soup.tbody.find_all("tr")]
     filtered_rows = [[i[1].text, i[6].text, i[4].text, datetime.strptime(i[9].text, "%Y-%m-%d %H:%M:%S")] for i in rows]
     df = pd.DataFrame(
-        data=filtered_rows, columns=["name", "upload_ip", "hash", "timestamp"]
+        data=filtered_rows, columns=["name", "upload_ip", "filehash", "timestamp"]
     )
 
     df['is_repack'] = df['name'].str.contains('DODI', case=False)