diff --git a/nlp.py b/nlp.py
deleted file mode 100644
index ec313f1..0000000
--- a/nlp.py
+++ /dev/null
@@ -1,103 +0,0 @@
-
-#import custom_nodes.Derfuu_ComfyUI_ModdedNodes.components.fields as field
-import PIL.Image
-import torch
-import torchvision
-import PIL.Image as Image
-
-import doctest
-# make sure to import ABC
-from abc import ABC, abstractmethod
-
-import os
-import openai
-
-
-class Config:
-    api_key = os.environ.get('OPENAI_API_KEY')
-    organization = os.environ.get('OPENAI_ORG')
-
-
-NODE_CLASS_MAPPINGS = {}
-
-openai.organization = Config.organization
-openai.api_key = Config.api_key
-
-
-class SimpleTextWidget:
-    """base class for simple construction"""
-
-    def __init__(self, func):
-        self.func = func
-
-
-    @classmethod
-    def register(self, name):
-        global NODE_CLASS_MAPPINGS
-
-        # register the widget
-        NODE_CLASS_MAPPINGS[name] = self
-
-    @classmethod
-    def INPUT_TYPES(cls):
-        return {"required":
-            {
-                "text": ("STRING", {"multiline": True}),
-            },
-
-        }
-
-    CATEGORY = "text"
-    RETURN_TYPES = ("STRING",)
-    FUNCTION = "handler"
-
-    def handler(self, text):
-        ret = self.func(text)
-        return (ret,)
-
-
-try:
-    import folder_paths
-except:
-    pass
-
-import os
-import numpy as np
-import hashlib
-
-### info for code completion AI ###
-"""
-all of these classes are plugins for comfyui and follow the same pattern
-all of the images are torch tensors and it is unknown and unimportant if they are on the cpu or gpu
-all image inputs are (B,W,H,C)
-
-avoid numpy and PIL as much as possible
-"""
-
-
-class LLMCompletion(SimpleTextWidget):
-    """uses the input text to call the specified LLM model and returns the output string"""
-
-    def __init__(self):
-        self.func = self.OAI_completion
-        super().__init__(self.func)
-        import uuid
-        self.SSID = str(uuid.uuid4())
-
-        from main import server_obj_holder
-        self.server_string = server_obj_holder[0]["server_strings"]
-        self.server_string[self.SSID] = "empty"
-
-    def OAI_completion(self, text):
-        out_message = [{"role": "user", "content": text}]
-
-        response = openai.ChatCompletion.create(
-            model="gpt-3.5-turbo",
-            messages=out_message
-        )
-        gpt_message = response["choices"][0]["message"]["content"].strip()
-        self.server_string[self.SSID] = gpt_message
-        return gpt_message
-
-
-LLMCompletion.register("LLM_Completion")