Update app.py

app.py

@@ -8,15 +8,12 @@ model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
 
 # Function to generate questions and answers with configurable parameters
 def generate_qa(context, temperature, top_p):
-    input_text = f"Quation answer: {context}"
+    input_text = f"what: {context}"
     input_ids = ttokenizer(input_text,max_length=400,truncation=True,padding="max_length",return_tensors='pt')
     
     # Generate with configurable parameters
     output = model.generate(
-        input_ids,
-        max_length=150,
-        num_return_sequences=1,
-        no_repeat_ngram_size=2,
+        **input_ids,
         temperature=temperature,
         top_p=top_p
     )