Update app.py

app.py

@@ -27,11 +27,11 @@ def generate_qa(context, temperature, top_p,numofseq):
     output = model.generate(
         **input_ids,
         temperature=temperature,
-        top_p=top_p,num_return_sequences=numofseq
+        top_p=top_p,num_return_sequences=numofseq,do_sample=True
     )
     
     generated_text = tokenizer.batch_decode(output, skip_special_tokens=True)
-    return r"\n".join(generated_text)
+    return generated_text
 
 # Create the Gradio interface with sliders for temperature and top-p
 iface = gr.Interface(
@@ -43,10 +43,9 @@ iface = gr.Interface(
         gr.inputs.Slider(minimum=1, maximum=50, default=1, step=1, label="num_return_sequences")
 
     ],
-    outputs="text",
+    outputs=gr.outputs.Textbox(label="Generated Sentences", type="list"),
     title="Question Generation and Answering",
-    description="Enter a context, choose a recommended word, and adjust temperature and top-p. The model will generate a question and answer.",
-)
+    description="Enter a context, choose a recommended word, adjust temperature and top-p, and set the number of samples. The model will generate questions and answers.",
 
 
 # Launch the interface