Update app.py

app.py

@@ -85,7 +85,8 @@ vector_store.populate_vectors(dataset=None)
 # Fine-tuning function
 def fine_tune_model():
     # Load your dataset
-    dataset = load_dataset('Thefoodprocessor/recipe_new_with_features_full', split='train[:1500]', streaming=False)
+    dataset = load_dataset('Thefoodprocessor/recipe_new_with_features_full', split='train')
+    dataset = dataset.select(range(1500))  # Select the first 1500 examples
 
     # Prepare the data for training
     def tokenize_function(examples):