updated locales and readmes i guess goober instances would download them on next update unless someone manually runs git pull or gets it for the first time

modules/README.MD

@@ -0,0 +1,8 @@
+# Modules Directory
+
+This folder contains core module files for the project.
+
+**Important:**  
+Do **not** modify the files in this directory if you plan to update the project in the future. Any changes made here may be overwritten during updates, or may cause Git to detect modifications and refuse to update properly.
+
+If you need to make changes, consider contributing upstream or using extension mechanisms provided by the project.

modules/prestartchecks.py

@@ -249,6 +249,11 @@ def start_checks():
     check_memory()
     check_memoryjson()
     check_cpu()
+    if os.path.exists(".env"):
+        pass
+    else:
+        print(f"{YELLOW}{get_translation(LOCALE, 'env_file_not_found')}{RESET}")
+        sys.exit(1)
     print(get_translation(LOCALE, "continuing_in_seconds").format(seconds=5))
     presskey2skip(timeout=5)
     os.system('cls' if os.name == 'nt' else 'clear')

modules/sentenceprocessing.py

@@ -15,7 +15,7 @@ def check_resources():
     for resource, path in resources.items():
         try:
             nltk.data.find(path) 
-            print(f"{resource} is already installed.")
+            logger.info(f"{resource} is already installed.")
         except Exception:
             nltk.download(str(resource))
 
@@ -30,14 +30,14 @@ analyzer = SentimentIntensityAnalyzer()
 def is_positive(sentence):
     """
     Determines if the sentiment of the sentence is positive.
-    Prints debug information and returns True if sentiment score > 0.1.
+    logger.infos debug information and returns True if sentiment score > 0.1.
     """
     scores = analyzer.polarity_scores(sentence)
     sentiment_score = scores['compound']
 
-    # Print debug message with sentiment score
+    # logger.info debug message with sentiment score
     debug_message = f"{DEBUG}{get_translation(LOCALE, 'sentence_positivity')} {sentiment_score}{RESET}"
-    print(debug_message) 
+    logger.info(debug_message) 
 
     return sentiment_score > 0.1