Update app.py

app.py

@@ -3,19 +3,19 @@ import joblib
 from huggingface_hub import hf_hub_download
 import os
 
+
 def load_model():
     """Download and load model from HF Hub"""
     try:
         print("Loading model from Hugging Face Hub...")
         
        
-        HF_USERNAME = "Daizzyy" 
-        HF_MODEL = "cyberbullying-model"  
+        HF_MODEL = "cyberbullying-model" 
         repo_id = f"{HF_USERNAME}/{HF_MODEL}"
         
         print(f"Downloading from: {repo_id}")
         
-        # Download and load model
+        
         try:
             model_file = hf_hub_download(
                 repo_id=repo_id,
@@ -28,11 +28,10 @@ def load_model():
             print(f"❌ Error loading model: {e}")
             return None
         
-        # Download and load vectorizer
         try:
             vectorizer_file = hf_hub_download(
                 repo_id=repo_id,
-                filename="vocab",
+                filename="vocab.txt",
                 cache_dir=".cache"
             )
             vectorizer = joblib.load(vectorizer_file)
@@ -41,7 +40,6 @@ def load_model():
             print(f"❌ Error loading vectorizer: {e}")
             vectorizer = None
         
-        
         try:
             label_encoder_file = hf_hub_download(
                 repo_id=repo_id,
@@ -76,6 +74,7 @@ else:
     print("✅ All models loaded successfully!")
 
 
+
 def predict(text):
     """Predict cyberbullying category"""
     if not text.strip():