Update app.py

app.py

@@ -27,13 +27,13 @@ def summarize(inputs,model,summary_length):
         padding="max_length",
         return_tensors='pt').to(device)
   #generate preds      
-  preds = model.generate(**inputs,max_length=summary_length,min_length=30)
+  preds = model.generate(**inputs,max_length=summary_length+25,min_length=summary_length-25)
   #we decode the predictions to store them
   decoded_predictions = tokenizer.batch_decode(preds, skip_special_tokens=True)
   #return 
   return decoded_predictions[0]
 
-description = "Quickly summarize your German text in a few sentences. \nThe algorithm was fine-tuned on high-quality German news articles."
+description = "Quickly summarize your German text in a few sentences. \nOur algorithms were fine-tuned on high-quality German news articles. Inference can take up to 60 seconds, so feel free to look at a few of the provided examples, first."
 
 title = "Finally there's a German \ntext summarization algorithm."
 
@@ -45,17 +45,17 @@ examples = [["summarize: Maschinelles Lernen ist ein Oberbegriff für die „kü
 #            examples=examples)
 
 # text input box
-txt=gr.Textbox(lines=15, label="I want to summarize this:", placeholder="Paste your German text in here. Don't forget to add the prefix \"summarize: \" for T5-base architecture.")
+txt=gr.Textbox(lines=15, label="I want to summarize this:", placeholder="Paste your German text in here.")
 # dropdown model selection
 drop=gr.Dropdown(["T5-base", "Google pegasus", "Facebook bart-large"],label="Choose a fine-tuned architecture.")
 # slider summary length selection
-slide=gr.Slider(50, 250, step=50, label="Select preferred summary length.", value=150)
+slide=gr.Slider(50, 250, step=50, label="Select a preferred summary length (+/- 25 tokens).", value=100)
 # text output box
 out=gr.Textbox(lines=5, label="Here's your summary:")
             
 interface = gr.Interface(summarize,
             inputs=[
-            txt,
+            "summarize: " + txt,
             # Selection of models for inference
             drop,
             # Length of summaries