Minor Changes.

README.md

@@ -19,13 +19,13 @@ tokenizer = AutoTokenizer.from_pretrained("offiongbassey/efik-mt")
 model = AutoModelForSeq2SeqLM.from_pretrained("offiongbassey/efik-mt")
 
 # English → Efik
-text = "Jesus is God."
+text = "My child is very sick and I need to take him to the hospital for treatment."
 inputs = tokenizer(f"eng_Latn {text}", return_tensors="pt")
 outputs = model.generate(**inputs, max_length=128)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
 # Efik → English
-text = "Ka ke tietie."
+text = "Okon ama adaha utom tọñọ usenubọk."
 inputs = tokenizer(f"ibo_Latn {text}", return_tensors="pt")
 outputs = model.generate(**inputs, max_length=128)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))