Update app.py

app.py

@@ -19,10 +19,7 @@ def read_pdf(pdf):
     return text
 
 
-def summarizer(pdf):
-    # model = T5ForConditionalGeneration.from_pretrained("t5-base")
-    # tokenizer = T5TokenizerFast.from_pretrained("t5-base")
-    text=read_pdf(pdf)
+def summarizer(text):
     inputs = tokenizer.encode("summarize: " + text,return_tensors="pt", max_length=1000,truncation=True)
     outputs = model.generate(inputs,max_length=1000, min_length=100,length_penalty=2.0, num_beams=4,early_stopping=True)
     summary = tokenizer.decode(outputs[0])