Update app.py

app.py

@@ -1,7 +1,12 @@
 from transformers import pipeline
 
-# Load the summarization model (ensure from_tf is removed)
 summarizer = pipeline("summarization", model="t5-base")
 
-# Example usage
-print(summarizer("This is a long text that needs summarization.", max_length=50, min_length=10, do_sample=False))
+text = "This is a long text that needs summarization."
+
+# Dynamically adjust max_length based on input length
+input_length = len(text.split())  # Approximate token count
+max_length = min(50, int(input_length * 0.8))  # 80% of input length
+
+summary = summarizer(text, max_length=max_length, min_length=5, do_sample=False)
+print(summary[0]["summary_text"])