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README.md

@@ -23,14 +23,14 @@ A fine-tuned T5 model specialized in providing financial advice and information
 ```python
 from transformers import T5Tokenizer, T5ForConditionalGeneration
 
-model_name = "Nellissa/Malawi-Financial-Assistant"
+model_name = 'Nellissa/Malawi-Financial-Assistant'
 tokenizer = T5Tokenizer.from_pretrained(model_name)
 model = T5ForConditionalGeneration.from_pretrained(model_name)
 
-question = "How can I save money in Malawi?"
-input_text = f"Provide financial advice for Malawi: {question}"
+question = 'How can I save money in Malawi?'
+input_text = f'Provide financial advice for Malawi: {question}'
 
-inputs = tokenizer(input_text, return_tensors="pt", max_length=256, truncation=True)
+inputs = tokenizer(input_text, return_tensors='pt', max_length=256, truncation=True)
 outputs = model.generate(
     inputs.input_ids,
     max_length=512,