Update app.py

app.py

@@ -4,6 +4,7 @@ import os, sys
 from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig, pipeline
 import torch
 import spaces
+import psutil
 
 # Define the model repository
 # REPO_NAME = 'schuler/experimental-JP47D20'
@@ -108,8 +109,10 @@ def respond(
 """
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
+cpu_usage = psutil.cpu_percent(interval=1)
 status_text = \
   f"This chat uses the {REPO_NAME} model with {model.get_memory_footprint() / 1e6:.2f} MB memory footprint. " + \
+  f"Current CPU usage is {cpu_usage:.2f}% .'" + \
   f"You may ask questions such as 'What is biology?' or 'What is the human body?'"
 
 """