Update app.py

app.py

@@ -5,8 +5,8 @@ from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig,
 import torch
 
 # Define the model repository
-REPO_NAME = 'schuler/experimental-JP47D20'
-# REPO_NAME = 'schuler/experimental-JP47D21-KPhi-3-micro-4k-instruct'
+# REPO_NAME = 'schuler/experimental-JP47D20'
+REPO_NAME = 'schuler/experimental-JP47D21-KPhi-3-micro-4k-instruct'
 
 # How to cache?
 def load_model(repo_name):
@@ -98,7 +98,7 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot." + global_error, label="System message"),
+        gr.Textbox(value="" + global_error, label="System message"),
         gr.Slider(minimum=1, maximum=2048, value=64, step=1, label="Max new tokens"),
         # gr.Slider(minimum=0.1, maximum=4.0, value=1.0, step=0.1, label="Temperature"),
         gr.Slider(