Update app.py

app.py

@@ -1,14 +1,17 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load the summarization model
-summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+# Load the new summarization model
+summarizer = pipeline("summarization", model="falconsai/text_summarization")
 
 def summarize_text(text):
-    summary = summarizer(text, max_length=150, min_length=50, do_sample=False)
+    max_len = min(0.3 * len(text.split()), 200)  # 30% of input length or 200 max
+    min_len = min(0.1 * len(text.split()), 50)   # 10% of input length or 50 min
+    
+    summary = summarizer(text, max_length=int(max_len), min_length=int(min_len), do_sample=False)
     return summary[0]['summary_text']
 
-# Create a Gradio Interface
+# Create Gradio Interface
 iface = gr.Interface(
     fn=summarize_text,
     inputs=gr.Textbox(lines=5, placeholder="Enter text to summarize"),