Update app.py

app.py

@@ -34,19 +34,21 @@ def extract_abstract_and_summarize(pdf_file):
             # Summarize the extracted abstract using the LED-large model with a specific max_length
             result = summarizer(abstract_text, max_length=81)
 
-            # Check if 'summary_text' is present in the result
+            # Extract only the first sentence from the summary
             if result and isinstance(result, list) and len(result) > 0:
                 summary = result[0].get('summary_text', 'Summary not available.')
+                # Extracting the first sentence
+                first_sentence = summary.split('.')[0] + '.'
             else:
-                summary = "Summary not available."
+                first_sentence = "Summary not available."
 
             # Generate audio
-            speech = gTTS(text=summary, lang="en")
+            speech = gTTS(text=first_sentence, lang="en")
             speech_bytes = BytesIO()
             speech.write_to_fp(speech_bytes)
 
             # Return individual output values
-            return summary, speech_bytes.getvalue(), abstract_text.strip()
+            return first_sentence, speech_bytes.getvalue(), abstract_text.strip()
 
     except Exception as e:
         raise Exception(str(e))