Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 from transformers import BartTokenizer, BartForConditionalGeneration
 
-model_name = "facebook/bart-large-cnn"  # Example BART model
+model_name = "facebook/bart-large-cnn"  # Example BART model for demonstration
 tokenizer = BartTokenizer.from_pretrained(model_name)
 model = BartForConditionalGeneration.from_pretrained(model_name)
 
@@ -11,7 +11,7 @@ def generate_text(prompt):
     return tokenizer.decode(summary_ids[0], skip_special_tokens=True)
 
 interface = gr.Interface(fn=generate_text,
-                         inputs=gr.inputs.Textbox(lines=5, placeholder="Enter Text Here..."),
+                         inputs=gr.Textbox(lines=5, placeholder="Enter Text Here..."),
                          outputs="text",
                          title="Text Generation with BART",
                          description="Enter text to generate a summary.")