Update app.py

app.py

@@ -113,15 +113,18 @@ iface = gr.Interface(
 #demo = gr.Parallel(greeter_1, greeter_2)
 
 #generator1 = gr.Interface(lambda name: f"Hello {name}!", inputs="textbox", outputs=gr.Textbox(label="GPT2-Large")).load("huggingface/gpt2-large", api_key=HF_TOKEN)
-generator1 = gr.Interface(lambda name: f"Hello {name}!", inputs="textbox", outputs=gr.Textbox(label="GPT2-Large").change(persist_memory,inputs="textbox",outputs=gr.Textbox(label="PersistMemoryOutput") )).load("huggingface/gpt2-large", api_key=HF_TOKEN)
+generator1 = gr.Interface(lambda name: f"Hello {name}!", inputs="textbox", outputs=gr.Textbox(label="GPT2-Large")).load("huggingface/gpt2-large", api_key=HF_TOKEN)
 generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B", api_key=HF_TOKEN)
 generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B", api_key=HF_TOKEN)
 
+gr.Textbox("GPT2-Large").change(persist_memory,inputs="textbox",outputs=gr.Textbox(label="PersistMemoryOutput"))
+btnSave = gr.Button("Save")
+btnSave.click(fn=persist_memory, inputs=gr.Textbox("Inputs"), outputs=gr.Textbox("Inputs"))
 
 gr.Parallel(generator1, 
             generator2, 
             generator3, 
-            inputs = gr.inputs.Textbox(lines=5, label="Enter a sentence to get another sentence."),
+            inputs = gr.inputs.Textbox(label="Input1", lines=5, label="Enter a sentence to get another sentence."),
             examples=examples,
             title="Mindfulness Story Generation with Persistent Dataset Memory",
             description=f"Mindfulness Story Generation with Persistent Dataset Memory",