Update app.py

app.py

@@ -120,27 +120,27 @@ def AIMemory(name: str, message: str):
         commit_url = repo.push_to_hub()
     return {"name": name, "message": message, "time": str(datetime.now())}
     
-with gr.Blocks() as Memory:
-
-#parallelModel = gr.Parallel(generator1, generator2, generator3, inputs = SplitterInputBox, examples=examples,
-#            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})" )
-
-    gr.Markdown("Mindfulness Story Generation with Persistent Dataset Memory")
-    with gr.Row():
-        inp = gr.Textbox(placeholder="What text would you like to extend with generation?")
-        inp2 = gr.Textbox(placeholder="What text would you like to extend with generation?")
-        out = gr.Textbox()
-        out2 = gr.Textbox()
-        out3 = gr.Textbox()
-    btn = gr.Button("Run")
-    btn.click(fn=AIMemory, inputs=[inp,inp], outputs=[out,out2,out3])
-
-Memory.launch()
-
-tbMemoryOutput = gr.Textbox(label="Memory Output")
-btnSave = gr.Button("Save")
+#with gr.Blocks() as Memory:
+
+parallelModel = gr.Parallel(generator1, generator2, generator3, inputs = SplitterInputBox, examples=examples,
+            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})" )
+#
+#    gr.Markdown("Mindfulness Story Generation with Persistent Dataset Memory")
+#    with gr.Row():
+#        inp = gr.Textbox(placeholder="What text would you like to extend with generation?")
+#        inp2 = gr.Textbox(placeholder="What text would you like to extend with generation?")
+#        out = gr.Textbox()
+#        out2 = gr.Textbox()
+#        out3 = gr.Textbox()
+#    btn = gr.Button("Run")
+#    btn.click(fn=AIMemory, inputs=[inp,inp], outputs=[out,out2,out3])
+
+parallelModel.launch()
+
+#tbMemoryOutput = gr.Textbox(label="Memory Output")
+#btnSave = gr.Button("Save")
 #btnSave.click(fn=persist_memory, inputs=[SplitterInputBox, tbOutput], outputs=tbMemoryOutput)
             
-parallelModel.launch(share=False)
+#parallelModel.launch(share=False)