Update app.py

app.py

@@ -21,18 +21,13 @@ summarization = pipeline ('summarization', model = "pszemraj/long-t5-tglobal-bas
 def summarize_and_speech(pdf_file):
         pdf_bytes_io = io.BytesIO(pdf_file)
         pdf_reader = PyPDF2.PdfReader(pdf_bytes_io)
-        abstract_text = pdf_reader.pages[1].extract_text()
-        summary = summarization(abstract_text, max_length=13, min_length=10)[1]['summary_text']
+        abstract_text = pdf_reader.pages[0].extract_text()
+        summary = summarization(abstract_text, max_length=13, min_length=10)[0]['summary_text']
         
         # Use a text-to-speech model to generate audio
         synthesiser = pipeline("text-to-speech", "facebook/mms-tts-eng")
         tts_output = synthesiser(summary)
-        audio_data = tts_output[1]["audio"]
-
-    if "audio" in tts_output[0]:
-        audio_data = tts_output[1]["audio"]
-    else:
-        print("Audio data is not available")
+        audio_data = tts_output[0]["audio"]
 
 
         return summary, audio_data