Update app.py

app.py

@@ -15,12 +15,12 @@ examples = [["Adventurer is approached by a mysterious stranger in the tavern fo
 tokenizer = BloomTokenizerFast.from_pretrained("tomrb/bettercallbloom-3b")
 model = BloomForCausalLM.from_pretrained("tomrb/bettercallbloom-3b",low_cpu_mem_usage=True)
 
-generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
+generator = pipeline('text-generation', model=model, tokenizer=tokenizer,do_sample=False)
 
 
 def preprocess(text):
     #We add 'Question :' and 'Answer #1:' at the start and end of the prompt
-    return "Question: " + text + "Answer #1:"
+    return "\nQuestion: " + text + "\nAnswer #1:"
 
 
 def generate(text):