Update app.py

app.py

@@ -11,22 +11,22 @@ from gradio.mix import Parallel, Series
 #io5 = gr.Interface.load("huggingface/google/pegasus-multi_news")
 #io6 = gr.Interface.load("huggingface/google/pegasus-reddit_tifu")
 #io7 = gr.Interface.load('huggingface/google/pegasus-arxiv')
-io8 = gr.Interface.load("huggingface/google/pegasus-pubmed")
+#io8 = gr.Interface.load("huggingface/google/pegasus-pubmed")
 io9 = gr.Interface.load("huggingface/google/pegasus-wikihow")
 io10 = gr.Interface.load('huggingface/google/pegasus-gigaword')
-io11 = gr.Interface.load("huggingface/google/pegasus-billsum")
-io12 = gr.Interface.load("huggingface/google/pegasus-big_patent")
-io13 = gr.Interface.load("huggingface/google/pegasus-aeslc")
+#io11 = gr.Interface.load("huggingface/google/pegasus-billsum")
+#io12 = gr.Interface.load("huggingface/google/pegasus-big_patent")
+#io13 = gr.Interface.load("huggingface/google/pegasus-aeslc")
 io14 = gr.Interface.load("huggingface/google/pegasus-large")
 io15 = gr.Interface.load("huggingface/google/pegasus-pubmed")
-io16 = gr.Interface.load("huggingface/google/bigbird-pegasus-large-arxiv")
-io17 = gr.Interface.load("huggingface/sshleifer/distill-pegasus-xsum-16-4")
-io18 = gr.Interface.load("huggingface/sshleifer/distill-pegasus-cnn-16-4")
+#io16 = gr.Interface.load("huggingface/google/bigbird-pegasus-large-arxiv")
+#io17 = gr.Interface.load("huggingface/sshleifer/distill-pegasus-xsum-16-4")
+#io18 = gr.Interface.load("huggingface/sshleifer/distill-pegasus-cnn-16-4")
 io19 = gr.Interface.load("huggingface/tuner007/pegasus_summarizer")
 io20 = gr.Interface.load("huggingface/pszemraj/pegasus-x-large-book-summary")
 io21 = gr.Interface.load("huggingface/google/pegasus-x-large")
 io22 = gr.Interface.load("huggingface/google/pegasus-x-base")
-io23 = gr.Interface.load("huggingface/xysmalobia/pegasus-samsum")
+#io23 = gr.Interface.load("huggingface/xysmalobia/pegasus-samsum")
 
 desc = "Let Hugging Face models summarize texts for you. Note: Shorter articles generate faster summaries. This summarizer uses pegasus by Google. You can compare these models against each other on their performances."
 
@@ -59,26 +59,26 @@ iface = Parallel(#io1,
                  #io5,
                  #io6,
                  #io7,
-                 io8, 
+                 #io8, 
                  io9, 
                  io10, 
-                 io11, 
-                 io12, 
-                 io13, 
+                 #io11, 
+                 #io12, 
+                 #io13, 
                  io14,
                  io15,
-                 io16,
-                 io17,
-                 io18,
+                 #io16,
+                 #io17,
+                 #io18,
                  io19,
                  io20,
                  io21,
                  io22,
-                 io23,
+                 #io23,
                  theme='huggingface',
                  title='Biblical Text Summarizer',
                  description=desc,
                  examples=sample,  # replace "sample" with directory to let gradio scan through those files and give you the text
-                 inputs=gr.inputs.Textbox(lines=20, label="Text"))
+                 inputs=gr.inputs.Textbox(lines=30, label="Text"))
 
 iface.launch(inline=False)