Update app.py

app.py

@@ -45,17 +45,17 @@ def summarization_n_audiospeech(pdf_file):
 
     summary = summarization(abstract_text, max_length = 50, min_length = 10)[0]['summary_text'] #didn't know exactly what would give one sentence, so i checked multiple times the min & max lengths regarding the 11th article. for a dif article, those parameters would probably have to be different as well
           
-    #fin_summary = summary.split('.')[0] + '.' #extract and print only the first sentence of the summary
+    fin_summary = summary.split('.', 1)[0] + '.' #extract and print only the first sentence of the summary
 
     #converting the summarization into an audio output
-    tts_output = audiospeech(summary)
+    tts_output = audiospeech(fin_summarysummary)
     audio_data = tts_output['audio'][0]
     
     with BytesIO() as buffer:
         sf.write(buffer, audio_data, 16000, format = 'wav')
         audio_bytes = buffer.getvalue()
 
-    return summary, audio_bytes
+    return fin_summary, audio_bytes
 
 
 
@@ -68,10 +68,7 @@ iface = gr.Interface(
         ],
     title = "PDF's Abstract Summarization & Audio Speech Processor",
     description = "App that generates a one-line summary of the abstract & a speech audio of this summarization -- requirements: app only accepts PDFs which include an ABSTRACT section",
-    examples = [os.path.join(os.path.dirname(__file__),  'Hidden_Technical_Debt.pdf'), 
-                os.path.join(os.path.dirname(__file__),  'Semiconductors.pdf'), 
-                os.path.join(os.path.dirname(__file__),  'Efficient_Estimation_of_Word_Representations.pdf') 
-               ]
+    #examples = [os.path.join(os.path.dirname(__file__),  'Hidden_Technical_Debt.pdf'), os.path.join(os.path.dirname(__file__),  'Semiconductors.pdf'), os.path.join(os.path.dirname(__file__),  'Efficient_Estimation_of_Word_Representations.pdf') ]
 )
 
 iface.launch()