Update app.py

app.py

@@ -1,4 +1,4 @@
-from transformers import AutoModelForQuestionAnswering, AutoModelForSeq2SeqLM, AutoTokenizer, pipeline
+from transformers import AutoModelForQuestionAnswering, AutoModelForSeq2SeqLM, AutoTokenizer, PegasusForConditionalGeneration, PegasusTokenizer, pipeline
 import gradio as grad
 import ast
 
@@ -25,5 +25,20 @@ def translate(text):
     #response = translate_pipeline(text)
     return response
 
+
+
+mdl_name = "google/pegasus-xsum"
+pegasus_tkn = PegasusTokenizer.from_pretrained(mdl_name)
+mdl = PegasusForConditionalGeneration.from_pretrained(mdl_name)
+
+def summarize(text):
+    tokens = pegasus_tkn(text, truncation=True, padding="longest", return_tensors="pt")
+    txt_summary = mdl.generate(**tokens)
+    response = pegasus_tkn.batch_decode(txt_summary, skip_special_tokens=True)
+    return response
+txt=grad.Textbox(lines=10, label="English", placeholder="English Text here")
+out=grad.Textbox(lines=10, label="Summary")
+grad.Interface(summarize, inputs=txt, outputs=out).launch()
+
 #grad.Interface(answer_question, inputs=["text","text"], outputs="text").launch()
-grad.Interface(translate, inputs=['text',], outputs='text').launch()
+# grad.Interface(translate, inputs=['text',], outputs='text').launch()