Update app.py

app.py

@@ -15,8 +15,8 @@ token = st.secrets["HF_TOKEN"]
 
 # Load the tokenizer and model
 try:
-    tokenizer = AutoTokenizer.from_pretrained(model_name, use_auth_token=token)
-    model = AutoModelForCausalLM.from_pretrained(model_name, use_auth_token=token)
+    tokenizer = AutoTokenizer.from_pretrained(model_name, token=token)
+    model = AutoModelForCausalLM.from_pretrained(model_name, token=token)
     st.write("Model and tokenizer loaded successfully!")
 except Exception as e:
     st.error(f"An error occurred while loading the model: {e}")
@@ -43,7 +43,7 @@ except Exception as e:
 # Training arguments for fine-tuning
 training_args = TrainingArguments(
     output_dir="./results",
-    evaluation_strategy="epoch",
+    eval_strategy="epoch",  # Use `eval_strategy` instead of `evaluation_strategy`
     learning_rate=2e-5,
     per_device_train_batch_size=1,
     num_train_epochs=3,