Update app.py

app.py

@@ -35,7 +35,7 @@ t5_tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-large")
 t5_model = T5ForConditionalGeneration.from_pretrained("google/flan-t5-large", device_map="auto")
 
 def flan_t5_complete_sentence(question, answer):
-    input_text = f"A question: {question} An incomplete answer: {answer}. Based on these, answer the question with a complete sentence without extra information."
+    input_text = f"A question: {question} An answer: {answer}. Based on these, answer the question with a complete sentence without extra information."
     logger.info("T5 input: " + input_text)
     inputs = t5_tokenizer(input_text, return_tensors="pt")
     outputs = t5_model.generate(**inputs, max_length=50)