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Update app.py
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app.py
CHANGED
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@@ -990,7 +990,6 @@ class TemporalPredictionSystem:
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# Global System Initialization
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# -------------------------------------------------------------------
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system = TemporalPredictionSystem()
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# Run some initial simulation steps to pre-train
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time.sleep(2)
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system.run_simulation_steps(20)
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print("Future Self Conversation System initialized and pre-trained.")
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@@ -1003,7 +1002,8 @@ def chat_fn(user_message, history):
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history = []
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response = system.process_user_message(user_message)
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bot_message = f"{response['text']} ({response['timeOffset']} years in future | Confidence: {int(response['confidence']*100)}%)"
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history.append(
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system.run_simulation_steps(5)
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return history
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@@ -1056,13 +1056,23 @@ with gr.Blocks(title="Future Self Conversation System") as demo:
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with main_interface:
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with gr.Row():
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with gr.Column():
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txt = gr.Textbox(placeholder="Type your message here...", label="Your Message")
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send_btn = gr.Button("Send")
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with gr.Column():
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network_image = gr.Image(label="Neural Network Visualization")
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#
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send_btn.click(fn=chat_fn, inputs=[txt, chatbot], outputs=chatbot).then(lambda: "", None, txt)
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# On page load, run pre-training and then reveal the main interface.
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# Global System Initialization
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# -------------------------------------------------------------------
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system = TemporalPredictionSystem()
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time.sleep(2)
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system.run_simulation_steps(20)
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print("Future Self Conversation System initialized and pre-trained.")
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history = []
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response = system.process_user_message(user_message)
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bot_message = f"{response['text']} ({response['timeOffset']} years in future | Confidence: {int(response['confidence']*100)}%)"
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history.append({"role": "user", "content": user_message})
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history.append({"role": "assistant", "content": bot_message})
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system.run_simulation_steps(5)
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return history
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with main_interface:
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with gr.Row():
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with gr.Column():
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# Use type="messages" to get openai-style dictionaries.
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chatbot = gr.Chatbot(label="Conversation", elem_id="chatbot", type="messages")
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txt = gr.Textbox(placeholder="Type your message here...", label="Your Message")
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send_btn = gr.Button("Send")
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with gr.Column():
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network_image = gr.Image(label="Neural Network Visualization")
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# A hidden refresh button used to update network visualization automatically.
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refresh_btn = gr.Button("Refresh Network", visible=False, elem_id="refresh_network")
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refresh_btn.click(fn=update_network_visualization, inputs=[], outputs=network_image)
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# Inject custom JS to click the hidden refresh button every 5 seconds.
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gr.HTML("""
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<script>
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setInterval(function() {
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document.getElementById("refresh_network").click();
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}, 5000);
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</script>
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""")
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send_btn.click(fn=chat_fn, inputs=[txt, chatbot], outputs=chatbot).then(lambda: "", None, txt)
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# On page load, run pre-training and then reveal the main interface.
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