Update app.py

app.py

@@ -11,10 +11,18 @@ model.to(device)
 
 
 def summarize(inputs):
+  #define model inputs          
+  inputs = tokenizer(
+        inputs.tolist(),
+        max_length=512,
+        truncation=True,
+        padding="max_length",
+        return_tensors='pt').to(device)
+  #generate preds      
   preds = model.generate(**inputs,max_length=200,min_length=100)
-  # we decode the predictions to store them
+  #we decode the predictions to store them
   decoded_predictions = tokenizer.batch_decode(preds, skip_special_tokens=True)
-  # each batches predictions are appended to the list   
+  #return 
   return decoded_predictions
 
 description = "Quickly summarize your German text in a few sentences. \nThe algorithm was fine-tuned on high-quality German news articles."