diff --git a/Dockerfile b/Dockerfile
index 91c5c09..8f7881b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -340,7 +340,7 @@ WORKDIR /opt/airc
 SHELL [ "/opt/airc/shell" ]
 
 # Needed by src/model-server.py
-RUN pip install faiss-cpu sentence_transformers feedparser
+RUN pip install faiss-cpu sentence_transformers feedparser bs4
 
 SHELL [ "/bin/bash", "-c" ]
 
diff --git a/src/airc.py b/src/airc.py
index 5ab4b78..e8c9a05 100644
--- a/src/airc.py
+++ b/src/airc.py
@@ -118,11 +118,18 @@ class AIRC(pydle.Client):
             logging.info("Burst limit reset due to inactivity.")
 
     async def message(self, target, message):
-        """Splits a multi-line message and sends each line separately."""
-        for line in message.splitlines():  # Splits on both '\n' and '\r\n'
+        """Splits a multi-line message and sends each line separately. If more than 10 lines, truncate and add a message."""
+        lines = message.splitlines()  # Splits on both '\n' and '\r\n'
+        
+        # Process the first 10 lines
+        for line in lines[:10]:
             if line.strip():  # Ignore empty lines
                 await self._message_queue.put((target, line))
 
+        # If there are more than 10 lines, add the truncation message
+        if len(lines) > 10:
+            await self._message_queue.put((target, "[additional content truncated]"))
+
     async def on_connect(self):
         logging.debug('on_connect')
         await self.join(self.channel)
diff --git a/src/model-server.py b/src/model-server.py
index 80114a2..40e62c0 100644
--- a/src/model-server.py
+++ b/src/model-server.py
@@ -20,6 +20,7 @@ import faiss
 import numpy as np
 import torch
 from sentence_transformers import SentenceTransformer
+from bs4 import BeautifulSoup
 
 def parse_args():
     parser = argparse.ArgumentParser(description="AI is Really Cool Server")
@@ -37,6 +38,16 @@ def setup_logging(level):
     logging.basicConfig(level=numeric_level, format='%(asctime)s - %(levelname)s - %(message)s')
     logging.info(f"Logging is set to {level} level.")
 
+def extract_text_from_html_or_xml(content, is_xml=False):
+    # Parse the content
+    if is_xml:
+        soup = BeautifulSoup(content, 'xml')  # Use 'xml' parser for XML content
+    else:
+        soup = BeautifulSoup(content, 'html.parser')  # Default to 'html.parser' for HTML content
+
+    # Extract and return just the text
+    return soup.get_text()
+
 class Feed():
     def __init__(self, name, url, poll_limit_min = 30, max_articles=5):
         self.name = name
@@ -67,6 +78,7 @@ class Feed():
                     content += f"Link: {link}\n"
                 summary = entry.get("summary")
                 if summary:
+                    summary = extract_text_from_html_or_xml(summary, False)
                     content += f"Summary: {summary}\n"
                 published = entry.get("published")
                 if published:
@@ -166,7 +178,7 @@ class Chat():
                 prompt, 
                 add_special_tokens=False,
                 return_tensors="pt", 
-                max_length=8000,            # Prevent 'Asking to truncate to max_length...'
+                max_length=7999,            # Prevent 'Asking to truncate to max_length...'
                 padding=True,               # Handles padding automatically
                 truncation=True
             )