Model Access update

Gated public model access specifier added

app.py

@@ -1,6 +1,6 @@
-# Create a Gradio-based fake news detection dashboard
 import gradio as gr
 import torch
+import os
 import numpy as np
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
@@ -9,15 +9,18 @@ model_path = "deepesh-goel/news-veracity-model"
 
 def load_model():
     """Load model and tokenizer"""
-    # Load the tokenizer (either from saved location or default)
+    # Get the token from environment variable
+    token = os.environ.get("HF_TOKEN", None)
+    
+    # Load the tokenizer with authentication
     try:
-        tokenizer = AutoTokenizer.from_pretrained(model_path)
+        tokenizer = AutoTokenizer.from_pretrained(model_path, token=token)
     except:
         # Default to base model if tokenizer not found in checkpoint
         tokenizer = AutoTokenizer.from_pretrained("roberta-base")
     
-    # Load the model
-    model = AutoModelForSequenceClassification.from_pretrained(model_path)
+    # Load the model with authentication
+    model = AutoModelForSequenceClassification.from_pretrained(model_path, token=token)
     return tokenizer, model
 
 tokenizer, model = load_model()