added really good token checking

.gitignore

@@ -155,7 +155,7 @@ cython_debug/
 
 #ML
 VeraMind-Mini/
-Token.py
+Token.txt
 
 # OS generated files #
 ######################

src/Ai/llm.py

@@ -1,11 +1,15 @@
 from langchain_community.llms import Ollama
-from Ai.Token import get_token
+
 
 class ArticleRater:
     def __init__(self):
         self.client = "https://ai.fabelous.app/v1/ollama/generic"
-        self.headers = {"Authorization": f"Token {get_token()}"}
+        self.token = self._get_token()
+        self.headers = {"Authorization": f"Token {self.token}"}
 
+    def _get_token(self):
+        with open("Token/Token.txt", "r") as t:
+            return t.readline().strip()
     def get_response(self, article, result, confidence):
         ollama_params = {
             "base_url": self.client,

src/controller/mainFrameController.py

@@ -7,7 +7,6 @@ from utils.database.database import FakeNewsChecker
 from models.provider import Provider
 from collections import Counter
 from Ai.llm import ArticleRater
-from Ai.Token import get_token
 
 
 class MainFrameController:
@@ -63,7 +62,7 @@ class MainFrameController:
         confidence_color = "green" if confidence > 80 else ("orange" if confidence > 50 else "red")
         self.frame.confidence_label.configure(fg_color=confidence_color)
         
-        if get_token().strip():
+        if self.rater.token:
             response_stream = self.rater.get_response(text_data.text, text_data.result, confidence)
 
             for chunk in response_stream: