Update app.py

app.py

@@ -1,21 +1,18 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load the summarization model
-summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+sum = pipeline("summarization", model="facebook/bart-large-cnn")
 
-def summarize_text(text):
-    summary = summarizer(text, min_length=10, max_length=100, do_sample=False)
-    return summary[0]['summary_text']
+def sumtext(text):
+    summary = sum(text, min_length=10, max_length=100, do_sample=False)
+    return summary[0]['summary']
 
-# Create the Gradio interface
-iface = gr.Interface(
-    fn=summarize_text,
-    inputs=gr.Textbox(label="Enter Text", placeholder="Paste your long text here...", lines=10),
+gr = gr.Interface(
+    fn=sumtext,
+    inputs=gr.Textbox(label="Enter Text", lines=10),
     outputs=gr.Textbox(label="Summarized Text"),
     title="Text Summarizer",
-    description="Enter a long piece of text to get a concise summary."
+    description="Provide a lengthy text to receive a brief summary."
 )
 
-# Launch the interface
-iface.launch()
+gr.launch()