Update app.py

app.py

@@ -27,15 +27,19 @@ def summarize(inputs,model,summary_length):
   device = "cpu"
   #"cuda" if torch.cuda.is_available() else "CPU"
   model.to(device)
-
+  
+  
+  print(str(inputs))
+  print(str(prefix)+str(inputs))
+  
   #define model inputs          
   inputs = tokenizer(
-        prefix + inputs,
+        inputs,
         max_length=512,
         truncation=True,
         padding="max_length",
-        
         return_tensors='pt').to(device)
+        
   #generate preds      
   preds = model.generate(**inputs,max_length=summary_length+25,min_length=summary_length-25)
   #we decode the predictions to store them