Update app.py

app.py

@@ -0,0 +1,19 @@
+from transformers import pipeline
+
+# Load the model and tokenizer from Hugging Face
+summarizer = pipeline("summarization", model="ibrahimgiki/facebook_bart_base")
+
+# Define a function to summarize text
+def summarize_text(text, max_length=130, min_length=30, do_sample=False):
+    summary = summarizer(text, max_length=max_length, min_length=min_length, do_sample=do_sample)
+    return summary[0]['summary_text']
+
+# Example usage
+text = """
+Your text here. This text should be a long paragraph that you want to summarize. 
+The pipeline will take this text and generate a shorter version of it.
+"""
+
+summary = summarize_text(text)
+print("Original Text:", text)
+print("Summary:", summary)