Update README.md

README.md

@@ -21,8 +21,7 @@ pipeline_tag: text2text-generation
  # mT0-XL-detox-orpo
 
  **Resources**:
-
- * [Paper]()
+* [Paper]()
 * [GitHub with training scripts and data](https://github.com/s-nlp/multilingual-transformer-detoxification)
 
  ## Model Information
@@ -49,7 +48,7 @@ tokenizer = AutoTokenizer.from_pretrained('s-nlp/mt0-xl-detox-orpo')
 }
 
  def detoxify(text, lang, model, tokenizer):
-    encodings = tokenizer(LANG_PROMPTS[lang] + input_text, return_tensors='pt').to(model.device)
+    encodings = tokenizer(LANG_PROMPTS[lang] + text, return_tensors='pt').to(model.device)
     
     outputs = model.generate(**encodings.to(model.device), 
                              max_length=128,