Update app.py

app.py

@@ -62,14 +62,10 @@ def read_pdf(file):
 #     # Display the extracted text
 #     #st.text(extracted_text)
 #     return extracted_text
-@st.cache
-def l():
-    tokenizer = AutoTokenizer.from_pretrained('t5-base')
-    model = AutoModelWithLMHead.from_pretrained('t5-base', return_dict=True)
-    return tokenizer, model
+tokenizer = AutoTokenizer.from_pretrained('t5-base')
+model = AutoModelWithLMHead.from_pretrained('t5-base', return_dict=True)
 @st.cache(suppress_st_warning=True)
 def engsum(text):
-    tokenizer, model = l()
 	#st.text("Using Google T5 Transformer ..")
     inputs = tokenizer.encode("summarize: " + text,return_tensors='pt',
 										max_length= 512,