Update app.py

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 from transformers import pipeline
 from pptx import Presentation
 import re
+import json
 
 # Create a text classification pipeline
 classifier = pipeline("text-classification", model="Ahmed235/roberta_classification", tokenizer="Ahmed235/roberta_classification")
@@ -35,7 +36,7 @@ def predict_pptx_content(file_path):
         predicted_probability = result[0]['score']
         summary = summarizer(extracted_text, max_length=1000, min_length=30, do_sample=False)[0]['summary_text']
         
-         output_dict = {
+        output_dict = {
             "predicted_label": predicted_label,
             "evaluation": predicted_probability,
             "summary": summary