Update app.py

app.py

@@ -4,17 +4,15 @@ from transformers import pipeline
 import gradio as gr
 
 def extract_text_from_pptx(file_path):
-    try:
-        presentation = Presentation(file_path)
-        text = []
-        for slide_number, slide in enumerate(presentation.slides, start=1):
-            for shape in slide.shapes:
-                if hasattr(shape, "text"):
-                    text.append(shape.text)
-        return "\n".join(text)
-    except Exception as e:
-        print(f"Error extracting text from PowerPoint: {e}")
-        raise  # Re-raise the exception for further investigation
+    presentation = Presentation(file_path)
+
+    text = []
+    for slide_number, slide in enumerate(presentation.slides, start=1):
+        for shape in slide.shapes:
+            if hasattr(shape, "text"):
+                text.append(shape.text)
+
+    return "\n".join(text)
 
 
 def predict_pptx_content(file_path):
@@ -22,7 +20,7 @@ def predict_pptx_content(file_path):
     try:
         extracted_text = extract_text_from_pptx(file_path)
         print(f"Extracted text: {extracted_text}")
-        
+
         cleaned_text = re.sub(r'\s+', ' ', extracted_text)
         print(f"Cleaned text: {cleaned_text}")