Update app.py

app.py

@@ -11,7 +11,7 @@ from transformers import pipeline
 from datasets import load_dataset
 import fitz  # PyMuPDF
 
-# Load dataset
+# Loading datasets
 dataset = load_dataset("ibunescu/qa_legal_dataset_train")
 
 # Different pipelines for different tasks
@@ -82,7 +82,7 @@ def determine_winner(outcome):
     else:
         return "No clear winner"
 
-# Custom CSS for a clean layout
+# Custom CSS for white background and black text for input and output boxes
 custom_css = """
 body {
     background-color: #ffffff;
@@ -194,8 +194,8 @@ def update_pdf_gallery_and_extract_text(pdf_files):
     return pdf_files, pdf_text
 
 def get_top_10_cases():
-    summary = summarization_pipeline("Show 10 legal cases with names and numbers from any State Court of Appeals in the US.", max_length=150, min_length=50, do_sample=False)
-    return summary[0]['summary_text']
+    result = summarization_pipeline("Top 10 current legal cases in the country", max_length=150, min_length=50, do_sample=False)
+    return result[0]['summary_text']
 
 def add_message(history, message):
     for x in message["files"]: