Update space

app.py

@@ -8,7 +8,7 @@ model_name = "paramasivan27/gpt2_for_q_and_a"
 tokenizer = GPT2Tokenizer.from_pretrained(model_name)
 model = GPT2LMHeadModel.from_pretrained(model_name)
 
-def ask_question(question):
+def ask_question(question, m_tokens):
     inputs = tokenizer.encode('Q: ' + question + ' A:', return_tensors='pt')
     attention_mask = torch.ones(inputs.shape)
     outputs = model.generate(inputs, attention_mask = attention_mask, max_new_tokens=100, num_return_sequences=1)
@@ -19,19 +19,7 @@ def ask_question(question):
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
 demo = gr.ChatInterface(
-    ask_question,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
+    ask_question
 )