Update app.py

app.py

@@ -20,11 +20,11 @@ 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
+    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')
     
     # Generate with configurable parameters
-    output = model.generate(**input_ids,
+    output = model.generate(input_ids['input_ids'],
         temperature=temperature,
         top_p=top_p,
         num_return_sequences=num_seq,
@@ -42,7 +42,7 @@ def generate_qa(context, temperature, top_p,num_seq,l_p, num_b):
     return formatted_output
 iface = gr.Interface(
     fn=generate_qa,
-    inputs=[
+    inputs=["text",
         gr.inputs.Slider(minimum=0.0, maximum=5, default=2.1, step=0.01, label="Temperature"),
         gr.inputs.Slider(minimum=0.0, maximum=1, default=0.5, step=0.01, label="Top-p"),     
         gr.inputs.Slider(minimum=1, maximum=20, default=3, step=1, label="num of sequance"),