pass system prompt to respond func

app.py

@@ -7,7 +7,7 @@ For more information on `huggingface_hub` Inference API support, please check th
 """
 # requires space hardware update to use large models (TODO)
 # client = InferenceClient("mistralai/Mistral-Large-Instruct-2407")
-# Note change in instatiation***
+# Note change in instantiation***
 text_generator = pipeline("text-generation", model="EleutherAI/gpt-neo-125M")
 
 def respond(message, history, system_message, max_tokens, temperature, top_p):
@@ -16,7 +16,7 @@ def respond(message, history, system_message, max_tokens, temperature, top_p):
     prompt += f"\nUser: {message}\nAssistant:"
 
     # Generate a response using the model
-    response = text_generator(prompt, max_length=max_tokens, temperature=temperature, top_p=top_p, do_sample=True, truncation=True)
+    response = text_generator(prompt, max_length=max_tokens, temperature=temperature, top_p=top_p, do_sample=True, truncation=False)
 
     # Extract the generated text from the response list
     assistant_response = response[0]['generated_text']
@@ -27,8 +27,8 @@ def respond(message, history, system_message, max_tokens, temperature, top_p):
 """
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
-demo = gr.ChatInterface(
-    respond,
+athena = gr.ChatInterface(
+    fn=respond
     additional_inputs=[
         gr.Textbox(value=
                    """
@@ -59,4 +59,4 @@ demo = gr.ChatInterface(
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    athena.launch()