Update app.py

app.py

@@ -2,18 +2,13 @@ import gradio as gr
 from transformers import pipeline
 
 # Load a model from Hugging Face for recipe generation
-model = pipeline("text-generation", model="openai-community/gpt2-large")           
+model = pipeline("text-generation", model="flax-community/t5-recipe-generation")           
 # Recipe generation function
 def suggest_recipes(ingredients):
     prompt = f"You are an expert in cooking. Please suggest 3 recipes using the following ingredients: {ingredients}. Provide a title for each recipe, include preparation time, and list step-by-step directions."
     response = model(prompt)
-    
-    # Parse model output into a structured format
-    recipes = []
-    for i, recipe in enumerate(response):
-        text = recipe["generated_text"]
-    
-    return "\n\n".join(recipes)
+    return response
+  
 
 # Gradio interface
 with gr.Blocks() as app: