fix : fixed the server error due to missing fullstop

features/text_classifier/controller.py

@@ -80,10 +80,11 @@ async def handle_file_upload(file: UploadFile):
 # Analyze each sentence in plain text input
 async def handle_sentence_level_analysis(text: str):
     text = text.strip()
-
+    if text[-1] != ".":
+        text+="."
     if len(text) > 10000:
         raise HTTPException(status_code=413, detail="Text must be less than 10,000 characters")
-
+    
     sentences = sent_tokenize(text, language="english")
     results = []
     for sentence in sentences:

features/text_classifier/inferencer.py

@@ -30,7 +30,7 @@ def classify_text(text: str):
         loss = outputs.loss
         perplexity = torch.exp(loss).item()
 
-    if perplexity < 60:
+    if perplexity < 55:
         result = "AI-generated"
     elif perplexity < 80:
         result = "Probably AI-generated"