Update app.py

app.py

@@ -42,7 +42,7 @@ audiospeech = pipeline('text-to-speech', model = 'suno/bark-small') #the voice i
 def summarization_n_audiospeech(pdf_file):
     abstract_text = abstract(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 changed multiple type the min & max lengths. for a dif article, those parameters would have to be different as well
+    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
 
     #converting the summarization into an audio output
     tts_output = audiospeech(summary)
@@ -65,7 +65,7 @@ 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 = ['Efficient_Estimation_of_Word_Representations.pdf', 'Hidden_Technical_Debt.pdf']
+    #examples = ['The_Future_of_AI_is_Hybrid.pdf', 'Efficient_Estimation_of_Word_Representations.pdf', 'Hidden_Technical_Debt.pdf']
 )
 
 iface.launch()