add config file and minor refactoring

README.md

@@ -36,3 +36,8 @@ Press the hotkey (default is Home) and then talk to jarvis
     - "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

config.py

@@ -0,0 +1,16 @@
+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",
+]

main.py

@@ -1,35 +1,51 @@
 import pyautogui as pg
 from pynput import keyboard
 import speech_recognition as sr
+from faster_whisper import WhisperModel
 from string import punctuation
-from slang import replacements
+import config
 import re
 import subprocess
 from time import sleep
 from mss import mss
 import numpy as np
-import sounddevice # turns off alsa error logging
+from io import BytesIO
+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)
 
-        result = r.recognize_faster_whisper(audio, model="distil-small.en", beam_size=5, language="en", condition_on_previous_text=False)
+        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])
 
-    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"
@@ -44,29 +60,34 @@ def chat_type():
 
     return None
 
+
 def on_press(key):
 
     if key is not keyboard.Key.home:
         return
 
-    print("triggered!")
+    print("Listening...")
     command = recognize_text()
 
     print(f"Heard: {command}")
 
     # cleanup command
-    command = command.lower()
+    command = command.lower().strip()
     for char in punctuation:
-        command = command.replace(char, '')
+        command = command.replace(char, "")
 
-    for original, new in replacements.items():
+    for original, new in config.replacements.items():
         command = command.replace(original, new)
 
     print(f"Cleaned up command: {command}")
 
-    if "chat" in command:
+    if any(keyword in command for keyword in ["type", "say", "write"]):
-        message = re.search(r"type (.+?)(and |in |\n|$)", command).groups(0)[0].strip()
+        message = (
-        print(f"Typing: {message} in team chat")
+            re.search(r"(type|say|write) (.+?)(and |in |\n|$)", command)
+            .groups(0)[1]
+            .strip()
+        )
+        print(f"Typing: {message} in chat")
 
         pg.keyDown("enter")
         sleep(0.041)
@@ -74,8 +95,8 @@ def on_press(key):
         sleep(0.94)
 
         current_chat = chat_type()
-        if current_chat in command:
+        if current_chat == None or current_chat in command:
-            pass # no change needed
+            pass  # no change needed
         elif "match" in command or "team" in command:
             pg.keyDown("tab")
             sleep(0.041)
@@ -86,7 +107,7 @@ def on_press(key):
         # sleep(0.074)
         # pg.keyUp("enter")
 
-    elif any(keyword in command for keyword in ["maximum", "pulse", "balls", "remove", "eliminate", "murder", "goon"]):
+    elif any(keyword in command for keyword in config.maximum_pulse):
         print("MAXIMUM PULSE!!!!")
         pg.keyDown("q")
         sleep(0.032)
@@ -96,9 +117,6 @@ def on_press(key):
         subprocess.run("/home/ultrablob/Videos/Clips/save_clip.sh")
 
 
-
 # Collect events until released
-with keyboard.Listener(
+with keyboard.Listener(on_press=on_press, on_release=lambda event: None) as listener:
-        on_press=on_press,
-        on_release=lambda event: None) as listener:
     listener.join()

slang.py

@@ -1,6 +0,0 @@
-replacements = {
-    "gigi": "gg",
-    "heels": "heals",
-    "heeling": "healing",
-    "heel": "heal"
-}