Update app.py

app.py

@@ -2,7 +2,6 @@ import gradio as gr
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer, AutoConfig
 
-
 # Load the model and tokenizer from Hugging Face Spaces
 model_name = "currentlyexhausted/flan-t5-summarizer"  # update with your model name
 config = AutoConfig.from_pretrained(model_name)
@@ -28,7 +27,6 @@ def generate_summary(passage):
 
     # Convert the output token ids to text
     output_text = tokenizer.decode(output[0], skip_special_tokens=True)
-
     return output_text
 
 # Create the Gradio interface