Update app.py

app.py

@@ -11,7 +11,7 @@ model = BartForConditionalGeneration.from_pretrained(model_name)
 
 def generate_tweet(label):
     # Craft a prompt that naturally encourages engaging and relevant tweet content
-    prompt = f"wite a tweet about {label}"
+    prompt = f"write a tweet about {label}"
 
     inputs = tokenizer.encode(prompt, return_tensors="pt")
     outputs = model.generate(inputs, max_length=280, num_return_sequences=1, no_repeat_ngram_size=2)