Update app.py

app.py

@@ -2,9 +2,9 @@ import gradio as gr
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 import torch
 
-# Load model
-model = AutoModelForSequenceClassification.from_pretrained("nli_model")
-tokenizer = AutoTokenizer.from_pretrained("nli_model")
+# Load model - xlm-roberta-base'i doğrudan kullanalım
+model = AutoModelForSequenceClassification.from_pretrained("xlm-roberta-base", num_labels=3)
+tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-base")
 
 def predict(premise, hypothesis):
     inputs = tokenizer(premise, hypothesis, return_tensors="pt", truncation=True)