Update app.py

app.py

@@ -21,10 +21,10 @@ model.eval()
 # Function to generate questions and answers with configurable parameters
 def generate_qa(context, temperature, top_p,num_seq,l_p, num_b):
     input_text = context+f"\n\nSummarize the previous text in three sentences in arabic:\n\n"
-    input_ids = tokenizer(text=input_text, return_tensors='pt')
+    a = tokenizer(text=input_text, return_tensors='pt')
     
     # Generate with configurable parameters
-    output = model.generate(input_ids['input_ids'],
+    output = model.generate(input_ids=a['input_ids'],
         temperature=temperature,
         top_p=top_p,
         num_return_sequences=num_seq,