diff --git a/README.md b/README.md
index 7670ac6..c9b7a50 100644
--- a/README.md
+++ b/README.md
@@ -35,9 +35,4 @@ Press the hotkey (default is Home) and then talk to jarvis
     - "jarvis, clip that"
     - "hey jarvis, thats a clip"
 
-Checkout the code to see specific keywords/phrases as all NLP is regex/string based, not generative AI
-
-
-### Resource Usage
-
-With the `distil-small.en` model, on my system it uses about 500mb of VRAM
+Checkout the code to see specific keywords/phrases as all NLP is regex/string based, not generative AI
\ No newline at end of file
diff --git a/config.py b/config.py
deleted file mode 100644
index 399fd8e..0000000
--- a/config.py
+++ /dev/null
@@ -1,16 +0,0 @@
-model = "distil-small.en"
-
-replacements = {"gigi": "gg", "heels": "heals", "heeling": "healing", "heel": "heal"}
-
-maximum_pulse = [
-    "maximum",
-    "pulse",
-    "ball",
-    "remove",
-    "eliminate",
-    "murder",
-    "goon",
-    "obliterate",
-    "delete",
-    "piss",
-]
\ No newline at end of file
diff --git a/main.py b/main.py
index 6f864c9..eb2e8e6 100644
--- a/main.py
+++ b/main.py
@@ -1,51 +1,35 @@
 import pyautogui as pg
 from pynput import keyboard
 import speech_recognition as sr
-from faster_whisper import WhisperModel
 from string import punctuation
-import config
+from slang import replacements
 import re
 import subprocess
 from time import sleep
 from mss import mss
 import numpy as np
-from io import BytesIO
-import sounddevice  # turns off alsa error logging
+import sounddevice # turns off alsa error logging
 
 r = sr.Recognizer()
 
-r.pause_threshold = 2
-
-model = WhisperModel(config.model, device="cuda", compute_type="int8_float16")
-
-print("Testing Sound")
 with sr.Microphone() as source:
     r.adjust_for_ambient_noise(source, duration=3)
-print("ready!")
-
 
 def recognize_text() -> str:
 
     with sr.Microphone() as source:
+        print("Say something!")
         audio = r.listen(source)
 
-        results, _ = model.transcribe(
-            BytesIO(audio.get_wav_data()),
-            beam_size=5,
-            language="en",
-            condition_on_previous_text=False,
-        )
-
-    return " ".join([segment.text for segment in results])
+        result = r.recognize_faster_whisper(audio, model="distil-small.en", beam_size=5, language="en", condition_on_previous_text=False)
 
+    return result
 
 def chat_type():
 
-    screen = mss()  #! bad for performance but necessary
+    screen = mss() #! bad for performance but necessary
 
-    screenshot = np.array(
-        screen.grab({"top": 1090, "left": 1110, "width": 100, "height": 100})
-    )
+    screenshot = np.array(screen.grab({"top": 1090, "left": 1110, "width": 100, "height": 100}))
     try:
         pg.locate("ui/team-chat.png", screenshot, confidence=0.9)
         return "team"
@@ -60,43 +44,38 @@ def chat_type():
 
     return None
 
-
 def on_press(key):
 
     if key is not keyboard.Key.home:
         return
-
-    print("Listening...")
+    
+    print("triggered!")
     command = recognize_text()
 
     print(f"Heard: {command}")
 
     # cleanup command
-    command = command.lower().strip()
+    command = command.lower()
     for char in punctuation:
-        command = command.replace(char, "")
+        command = command.replace(char, '')
 
-    for original, new in config.replacements.items():
+    for original, new in replacements.items():
         command = command.replace(original, new)
 
     print(f"Cleaned up command: {command}")
 
-    if any(keyword in command for keyword in ["type", "say", "write"]):
-        message = (
-            re.search(r"(type|say|write) (.+?)(and |in |\n|$)", command)
-            .groups(0)[1]
-            .strip()
-        )
-        print(f"Typing: {message} in chat")
-
+    if "chat" in command:
+        message = re.search(r"type (.+?)(and |in |\n|$)", command).groups(0)[0].strip()
+        print(f"Typing: {message} in team chat")
+        
         pg.keyDown("enter")
         sleep(0.041)
         pg.keyUp("enter")
         sleep(0.94)
 
         current_chat = chat_type()
-        if current_chat == None or current_chat in command:
-            pass  # no change needed
+        if current_chat in command:
+            pass # no change needed
         elif "match" in command or "team" in command:
             pg.keyDown("tab")
             sleep(0.041)
@@ -107,7 +86,7 @@ def on_press(key):
         # sleep(0.074)
         # pg.keyUp("enter")
 
-    elif any(keyword in command for keyword in config.maximum_pulse):
+    elif any(keyword in command for keyword in ["maximum", "pulse", "balls", "remove", "eliminate", "murder", "goon"]):
         print("MAXIMUM PULSE!!!!")
         pg.keyDown("q")
         sleep(0.032)
@@ -116,7 +95,10 @@ def on_press(key):
     elif "clip" in command:
         subprocess.run("/home/ultrablob/Videos/Clips/save_clip.sh")
 
+    
 
 # Collect events until released
-with keyboard.Listener(on_press=on_press, on_release=lambda event: None) as listener:
-    listener.join()
+with keyboard.Listener(
+        on_press=on_press,
+        on_release=lambda event: None) as listener:
+    listener.join()
\ No newline at end of file
diff --git a/slang.py b/slang.py
new file mode 100644
index 0000000..906ba55
--- /dev/null
+++ b/slang.py
@@ -0,0 +1,6 @@
+replacements = {
+    "gigi": "gg",
+    "heels": "heals",
+    "heeling": "healing",
+    "heel": "heal"
+}
\ No newline at end of file