Update app.py

app.py

@@ -4,7 +4,7 @@ from pptx import Presentation  # Import the Presentation class
 
 # Create a text classification pipeline
 classifier = pipeline("text-classification", model="Ahmed235/roberta_classification", tokenizer="Ahmed235/roberta_classification")
-
+summarizer = pipeline("summarization", model="Falconsai/text_summarization")
 def extract_text_from_pptx(file_path):
     presentation = Presentation(file_path)
     text = []
@@ -26,6 +26,7 @@ def predict_pptx_content(file_path):
 
         prediction = {
             "Evaluation": f"Evaluate the topic according to {predicted_label} is: {predicted_probability}",
+            "Summary": summary
         }
 
         return prediction