Update app.py

app.py

@@ -9,7 +9,7 @@ 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"what: {context}"
-    input_ids = ttokenizer(input_text,max_length=400,truncation=True,padding="max_length",return_tensors='pt')
+    input_ids = tokenizer(input_text,max_length=400,truncation=True,padding="max_length",return_tensors='pt')
     
     # Generate with configurable parameters
     output = model.generate(