diff --git a/modules/main.py b/modules/main.py
index 0206107..9c0d2ee 100644
--- a/modules/main.py
+++ b/modules/main.py
@@ -8,6 +8,7 @@ from modules.rpgmakermvmz import handleMVMZ
 from modules.rpgmakerace import handleACE
 from modules.csvtl import handleCSV
 from modules.textfile import handleTextfile
+from modules.tyrano import handleTyrano
 
 THREADS = 10 # For GPT4 rate limit will be hit if you have more than 1 thread.
 
@@ -29,7 +30,7 @@ def main():
     totalCost = 0
     version = ''
     while version == '':
-        version = input('Select the RPGMaker Version:\n\n1. MV/MZ\n2. ACE\n3. CSV (From Translator++)\n4. Text (Custom)\n')
+        version = input('Select the RPGMaker Version:\n\n1. MV/MZ\n2. ACE\n3. CSV (From Translator++)\n4. Text (Custom)\n5. Tyrano\n')
         match version:
             case '1':
                 # Open File (Threads)
@@ -85,6 +86,20 @@ def main():
                             tracebackLineNo = str(traceback.extract_tb(sys.exc_info()[2])[-1].lineno)
                             print(Fore.RED + str(e) + '|' + tracebackLineNo + Fore.RESET)
 
+            case '5':
+                # Open File (Threads)
+                with ThreadPoolExecutor(max_workers=THREADS) as executor:
+                    futures = [executor.submit(handleTyrano, filename, estimate) \
+                                for filename in os.listdir("files") if filename.endswith('ks')]
+                    
+                    for future in as_completed(futures):
+                        try:
+                            totalCost = future.result()
+                            
+                        except Exception as e:
+                            tracebackLineNo = str(traceback.extract_tb(sys.exc_info()[2])[-1].lineno)
+                            print(Fore.RED + str(e) + '|' + tracebackLineNo + Fore.RESET)
+
             case _:
                 version = ''
         
diff --git a/modules/tyrano.py b/modules/tyrano.py
new file mode 100644
index 0000000..191dd5f
--- /dev/null
+++ b/modules/tyrano.py
@@ -0,0 +1,294 @@
+from concurrent.futures import ThreadPoolExecutor, as_completed
+import json
+import os
+from pathlib import Path
+import re
+import sys
+import textwrap
+import threading
+import time
+import traceback
+import tiktoken
+
+from colorama import Fore
+from dotenv import load_dotenv
+import openai
+from retry import retry
+from tqdm import tqdm
+
+#Globals
+load_dotenv()
+openai.organization = os.getenv('org')
+openai.api_key = os.getenv('key')
+
+APICOST = .002 # Depends on the model https://openai.com/pricing
+PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
+THREADS = 10 # For GPT4 rate limit will be hit if you have more than 1 thread.
+LOCK = threading.Lock()
+WIDTH = 60
+LISTWIDTH = 60
+MAXHISTORY = 10
+ESTIMATE = ''
+TOTALCOST = 0
+TOKENS = 0
+TOTALTOKENS = 0
+NAMESLIST = []
+
+#tqdm Globals
+BAR_FORMAT='{l_bar}{bar:10}{r_bar}{bar:-10b}'
+POSITION=0
+LEAVE=False
+
+# Flags
+NAMES = True    # Output a list of all the character names found
+BRFLAG = False   # If the game uses <br> instead
+FIXTEXTWRAP = False
+
+def handleTyrano(filename, estimate):
+    global ESTIMATE, TOKENS, TOTALTOKENS, TOTALCOST
+    ESTIMATE = estimate
+
+    if estimate:
+        start = time.time()
+        translatedData = openFiles(filename)
+
+        # Print Result
+        end = time.time()
+        tqdm.write(getResultString(['', TOKENS, None], end - start, filename))
+        if NAMES == True:
+            tqdm.write(str(NAMESLIST))
+        with LOCK:
+            TOTALCOST += TOKENS * .001 * APICOST
+            TOTALTOKENS += TOKENS
+            TOKENS = 0
+
+        return getResultString(['', TOTALTOKENS, None], end - start, 'TOTAL')
+    
+    else:
+        try:
+            with open('translated/' + filename, 'w', encoding='UTF-8') as outFile:
+                start = time.time()
+                translatedData = openFiles(filename, outFile)
+
+                # Print Result
+                outFile.writeLines(translatedData[0])
+                end = time.time()
+                tqdm.write(getResultString(translatedData, end - start, filename))
+                with LOCK:
+                    TOTALCOST += translatedData[1] * .001 * APICOST
+                    TOTALTOKENS += translatedData[1]
+        except Exception as e:
+            traceback.print_exc()
+            return 'Fail'
+
+    return getResultString(['', TOTALTOKENS, None], end - start, 'TOTAL')
+
+def openFiles(filename, outFile):
+    with open('files/' + filename, 'r', encoding='utf-8') as readFile:
+        translatedData = parseTyrano(readFile, outFile, filename)
+    
+    return translatedData
+
+def parseTyrano(readFile, outFile, filename):
+    totalTokens = 0
+    totalLines = 0
+    global LOCK
+
+    # Get total for progress bar
+    data = readFile.readlines()
+    totalLines = len(data)
+
+    with tqdm(bar_format=BAR_FORMAT, position=POSITION, total=totalLines, leave=LEAVE) as pbar:
+        pbar.desc=filename
+        pbar.total=totalLines
+
+        try:
+            final = translateTyrano(data, outFile, pbar)
+        except Exception as e:
+            traceback.print_exc()
+            return [data, totalTokens, e]
+    return [readFile, totalTokens, None]
+
+def translateTyrano(data, outFile, pbar):
+    textHistory = []
+    maxHistory = MAXHISTORY
+    tokens = 0
+    currentGroup = []
+    syncIndex = 0
+    global LOCK, ESTIMATE
+
+    for i in range(len(data)):
+        if syncIndex > i:
+            i = syncIndex
+
+        # Speaker
+        if '#' in data[i]:
+            matchList = re.findall(r'#(.+)', data[i])
+            if len(matchList) != 0:
+                response = translateGPT(matchList[0], 'Reply with only the english translation of the NPC name', True)
+                speaker = response[0]
+                tokens += response[1]
+                data[i] = '#' + speaker
+            else:
+                speaker = ''
+
+        # Lines
+        elif '[p]' in data[i]:
+            matchList = re.findall(r'(.+?)\[p\]', data[i])
+            if len(matchList) > 0:
+                matchList[0] = matchList[0].replace('「', '')
+                matchList[0] = matchList[0].replace('」', '')
+                currentGroup.append(matchList[0])
+                if len(data) > i+1:
+                    while '[p]' in data[i+1]:
+                        i += 1
+                        matchList = re.findall(r'(.+?)\[p\]', data[i])
+                        if len(matchList) > 0:
+                            matchList[0] = matchList[0].replace('「', '')
+                            matchList[0] = matchList[0].replace('」', '')
+                            currentGroup.append(matchList[0])
+            # Join up 401 groups for better translation.
+            if len(currentGroup) > 0:
+                finalJAString = ''.join(currentGroup)
+                oldjaString = finalJAString
+
+            #Check Speaker
+            if speaker == '':
+                response = translateGPT(finalJAString, 'Previous Dialogue: ' + '\n\n'.join(textHistory), True)
+                tokens += response[1]
+                translatedText = response[0]
+                textHistory.append('\"' + translatedText + '\"')
+            else:
+                response = translateGPT(speaker + ': ' + finalJAString, 'Previous Dialogue: ' + '\n\n'.join(textHistory), True)
+                tokens += response[1]
+                translatedText = response[0]
+                textHistory.append('\"' + translatedText + '\"')
+
+                # Remove added speaker
+                translatedText = translatedText.replace(speaker + ': ', '')
+
+            # Set Data
+            translatedText = translatedText.replace('\"', '')
+            data[i] = translatedText + '[p]'
+
+        currentGroup = [] 
+        pbar.update(1)
+        syncIndex = i + 1
+
+    return [tokens, data]
+            
+def getResultString(translatedData, translationTime, filename):
+    # File Print String
+    tokenString = Fore.YELLOW + '[' + str(translatedData[1]) + \
+        ' Tokens/${:,.4f}'.format(translatedData[1] * .001 * APICOST) + ']'
+    timeString = Fore.BLUE + '[' + str(round(translationTime, 1)) + 's]'
+
+    if translatedData[2] == None:
+        # Success
+        return filename + ': ' + tokenString + timeString + Fore.GREEN + u' \u2713 ' + Fore.RESET
+
+    else:
+        # Fail
+        try:
+            raise translatedData[2]
+        except Exception as e:
+            traceback.print_exc()
+            errorString = str(e) + Fore.RED
+            return filename + ': ' + tokenString + timeString + Fore.RED + u' \u2717 ' +\
+                errorString + Fore.RESET
+        
+def subVars(jaString):
+    varRegex = r'\\+[a-zA-Z]+\[[0-9a-zA-Z\\\[\]]+\]+|[\\]+[#a-zA-Z]+|[\\.<>]+'
+    count = 0
+
+    varList = re.findall(varRegex, jaString)
+    if len(varList) != 0:
+        for var in varList:
+            jaString = jaString.replace(var, '[v' + str(count) + ']')
+            count += 1
+
+    return [jaString, varList]
+    
+def resubVars(translatedText, varList):
+    count = 0
+
+    # Fix Spacing and ChatGPT Nonsense
+    matchList = re.findall(r'@\s?[0-9]+?', translatedText)
+    if len(matchList) > 0:
+        for match in matchList:
+            text = match.replace(' ', '')
+            translatedText = translatedText.replace(match, text)
+    
+    if len(varList) != 0:
+        for var in varList:
+            translatedText = translatedText.replace('@' + str(count) + '', var)
+            count += 1
+
+    # Remove Color Variables Spaces
+    # if '\\c' in translatedText:
+    #     translatedText = re.sub(r'\s*(\\+c\[[1-9]+\])\s*', r' \1', translatedText)
+    #     translatedText = re.sub(r'\s*(\\+c\[0+\])', r'\1', translatedText)
+    return translatedText
+
+@retry(exceptions=Exception, tries=5, delay=5)
+def translateGPT(t, history, fullPromptFlag):
+    with LOCK:
+        # If ESTIMATE is True just count this as an execution and return.
+        if ESTIMATE:
+            global TOKENS
+            enc = tiktoken.encoding_for_model("gpt-3.5-turbo")
+            TOKENS += len(enc.encode(t)) * 2 + len(enc.encode(history)) + len(enc.encode(PROMPT))
+            return (t, 0)
+    
+    # Sub Vars
+    varResponse = subVars(t)
+    subbedT = varResponse[0]
+
+    # If there isn't any Japanese in the text just skip
+    if not re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴー]+', subbedT):
+        return(t, 0)
+
+    """Translate text using GPT"""
+    context = 'Eroge Names Context: 桐嶋 香織 == Kaori Kirishima | Female, 肉山 猛 == Takeshi Nikuyama'
+    if fullPromptFlag:
+        system = PROMPT 
+        user = 'Line to Translate: ' + subbedT
+    else:
+        system = 'You are an expert translator who translates everything to English. Reply with only the English Translation of the text.' 
+        user = 'Line to Translate: ' + subbedT
+    response = openai.ChatCompletion.create(
+        temperature=0,
+        frequency_penalty=0.2,
+        presence_penalty=0.2,
+        model="gpt-3.5-turbo",
+        messages=[
+            {"role": "system", "content": system},
+            {"role": "user", "content": context},
+            {"role": "user", "content": history},
+            {"role": "user", "content": user}
+        ],
+        request_timeout=30,
+    )
+
+    # Save Translated Text
+    translatedText = response.choices[0].message.content
+    tokens = response.usage.total_tokens
+
+    # Resub Vars
+    translatedText = resubVars(translatedText, varResponse[1])
+
+    # Remove Placeholder Text
+    translatedText = translatedText.replace('English Translation: ', '')
+    translatedText = translatedText.replace('Translation: ', '')
+    translatedText = translatedText.replace('Line to Translate: ', '')
+    translatedText = translatedText.replace('English Translation:', '')
+    translatedText = translatedText.replace('Translation:', '')
+    translatedText = translatedText.replace('Line to Translate:', '')
+    translatedText = re.sub(r'\n\nPast Translated Text:.*', '', translatedText, 0, re.DOTALL)
+    translatedText = re.sub(r'Note:.*', '', translatedText)
+
+    # Return Translation
+    if len(translatedText) > 15 * len(t) or "I'm sorry, but I'm unable to assist with that translation" in translatedText:
+        return [t, response.usage.total_tokens]
+    else:
+        return [translatedText, tokens]
\ No newline at end of file