Update app.py

app.py

@@ -113,18 +113,14 @@ 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)
-tbOutput = gr.Textbox(label="GPT Output")
-tbMemoryOutput = gr.Textbox(label="Memory Output")
 
 generator1 = gr.Interface(lambda name: f"Hello {name}!", inputs="textbox", outputs=[tbOutput]).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)
 
 #MemoryChange=tbOutput.change(persist_memory,inputs=[tbOutput],outputs=gr.Textbox(label="PersistMemoryOutput"))
-btnSave = gr.Button("Save")
-btnSave.click(fn=persist_memory, inputs=[tbOutput], outputs=[tbMemoryOutput])
 
-gr.Parallel(generator1, 
+parallelModel = gr.Parallel(generator1, 
             generator2, 
             generator3, 
             inputs = gr.inputs.Textbox(lines=5, label="Enter a sentence to get another sentence."),
@@ -132,4 +128,11 @@ gr.Parallel(generator1,
             title="Mindfulness Story Generation with Persistent Dataset Memory",
             description=f"Mindfulness Story Generation with Persistent Dataset Memory",
             article=f"Memory Dataset URL: [{DATASET_REPO_URL}]({DATASET_REPO_URL})"
-            ).launch(share=False)
+            )
+
+tbOutput = gr.Textbox(label="GPT Output")
+tbMemoryOutput = gr.Textbox(label="Memory Output")
+btnSave = gr.Button("Save")
+btnSave.click(fn=persist_memory, inputs=tbOutput, outputs=tbMemoryOutput)
+            
+parallelModel.launch(share=False)