Update app.py

app.py

@@ -64,7 +64,7 @@ def read_pdf(file):
 #     return extracted_text
     
 @st.cache(suppress_st_warning=True)
-def engsum(output):
+def engsum(text):
     tokenizer = AutoTokenizer.from_pretrained('t5-base')
     model = AutoModelWithLMHead.from_pretrained('t5-base', return_dict=True)
 	#st.text("Using Google T5 Transformer ..")
@@ -73,7 +73,7 @@ def engsum(output):
 										truncation=True)
     summary_ids = model.generate(inputs, max_length=150, min_length=80, length_penalty=5., num_beams=2)
     summary = tokenizer.decode(summary_ids[0])
-    st.success(text_output)
+    st.success(summary)
 @st.cache(suppress_st_warning=True)
 def bansum(text):
     def query(payload):