Update app.py

app.py

@@ -2,12 +2,13 @@ import gradio as gr
 from transformers import pipeline
 
 # Load a model from Hugging Face for recipe generation
-model = pipeline("text-generation", model="gpt2")  # Replace with a recipe-specific model if available
-
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+model = pipeline("text2text-generation", model="flax-community/t5-recipe-generation")
 # Recipe generation function
 def suggest_recipes(ingredients):
     prompt = f"Suggest some recipes using the following ingredients: {ingredients}. Include preparation time for each recipe."
-    response = model(prompt, max_length=150, num_return_sequences=3)
+    response = model(prompt, max_length=500, num_return_sequences=3)
     
     # Parse model output into a readable format
     recipes = []