Update app.py

app.py

@@ -1,6 +1,8 @@
 import gradio as gr
 import random
 import os
+import copy
+
 from huggingface_hub import login
 from transformers import pipeline
 from transformers import GPT2Tokenizer, GPT2LMHeadModel
@@ -95,8 +97,8 @@ common_examples=[
       ["One of the best teachers in all of life turns out to be what?",5,0.2,1.5,0.9,True], # The second example
       ["what is your most meaningful relationship?",5,0.2,1.5,0.9,True], # The third example
       ["What actually gives life meaning?",5,0.2,1.5,0.9,True]
-    ],
-examples = common_examples.copy()
+    ]
+examples = copy.deepcopy(common_examples)
 for example in examples:
     example.append("original_model")
     
@@ -107,7 +109,7 @@ interface_original = gr.Interface(fn=create_response,
     inputs=common_input_component_list.append(gr.Textbox(label="model", lines=3, value="original_model",visible=False)),
     outputs=common_output_component_list
     )
-examples = common_examples.copy()
+examples = copy.deepcopy(common_examples)
 for example in examples:
     example.append("untethered_model")
 interface_untethered_model = gr.Interface(fn=create_response, 
@@ -118,7 +120,7 @@ interface_untethered_model = gr.Interface(fn=create_response,
     outputs=common_output_component_list
     )
 
-examples = common_examples.copy()
+examples = copy.deepcopy(common_examples)
 for example in examples:
     example.append("untethered_paraphrased_model")
 interface_untethered_model = gr.Interface(fn=create_response,