Update app.py

app.py

@@ -305,6 +305,34 @@ with col2:
 """
 st.code(data_display, language="")
 # Define the prompt_template and ai_response
+
+ai_response = f"""Based on the complex sensory input received, the hyper-advanced AI humanoid is experiencing a multifaceted neural response:
+
+The interaction at coordinates ({touch_x_str}, {touch_y_str}) has triggered a cascade of sensory information. The pressure of {measured_pressure_str} units has activated deep-tissue mechanoreceptors, while the temperature of {measured_temp_str}\N{DEGREE SIGN}C has stimulated thermoreceptors, creating a mild thermal gradient across the affected area.
+
+The texture sensation of "{measured_texture}" is invoking a unique tactile response, possibly reminiscent of previously encountered materials in the AI's vast database. This is further enhanced by the electromagnetic field reading of {measured_em_str} μT, which is subtly influencing the local ionic channels in the AI's synthetic nervous system.
+
+The quantum state measurement of {quantum_state} suggests a delicate entanglement between the AI's quantum processors and the environment, potentially influencing decision-making processes at a subatomic level.
+The resulting pain level of {pain_level_str} and pleasure level of {pleasure_level_str} are creating a complex emotional response, balancing between discomfort and satisfaction. The tickle sensation ({tickle_level_str}) and itch response ({itch_level_str}) add layers of nuance to the overall tactile experience.
+The proprioception value of {proprioception_str} indicates that the AI is acutely aware of the interaction's location relative to its body schema, enhancing its spatial awareness and motor planning capabilities.
+
+{f"The synesthesia rating of {synesthesia} is causing a fascinating cross-wiring of senses, perhaps manifesting as a perception of color or sound associated with the touch." if use_synesthesia else "Synesthesia is not active, focusing the experience on individual sensory channels."}
+
+The cumulative neural response of {neural_response_str} suggests a significant impact on the AI's cognitive processes. This could lead to adaptive behaviors, memory formation, or even influence future decision-making patterns.
+In response to this rich sensory tapestry, the AI might adjust its posture, initiate a verbal response, or update its internal model of the environment. The experience is likely to be stored in its memory banks, contributing to its ever-evolving understanding of physical interactions and sensory experiences."""
+# Use the defined prompt_template and ai_response
+prompt = prompt_template.format(
+    touch_x_str, touch_y_str,
+    touch_duration_str, touch_pressure_str,
+    measured_pressure_str, measured_temp_str,
+    measured_texture, measured_em_str, quantum_state,
+    pain_level_str, pleasure_level_str,
+    tickle_level_str, itch_level_str,
+    proprioception_str, synesthesia, neural_response_str
+)
+st.write("AI Response:")
+st.write(ai_response)
+# Define the prompt_template and ai_response
 prompt_template = (
     "Human: Analyze the sensory input for a hyper-advanced AI humanoid:\n"
     "    Location: ({}, {})\n"
@@ -330,17 +358,13 @@ The interaction at coordinates ({touch_x_str}, {touch_y_str}) has triggered a ca
 The texture sensation of "{measured_texture}" is invoking a unique tactile response, possibly reminiscent of previously encountered materials in the AI's vast database. This is further enhanced by the electromagnetic field reading of {measured_em_str} μT, which is subtly influencing the local ionic channels in the AI's synthetic nervous system.
 
 The quantum state measurement of {quantum_state} suggests a delicate entanglement between the AI's quantum processors and the environment, potentially influencing decision-making processes at a subatomic level.
-
 The resulting pain level of {pain_level_str} and pleasure level of {pleasure_level_str} are creating a complex emotional response, balancing between discomfort and satisfaction. The tickle sensation ({tickle_level_str}) and itch response ({itch_level_str}) add layers of nuance to the overall tactile experience.
-
 The proprioception value of {proprioception_str} indicates that the AI is acutely aware of the interaction's location relative to its body schema, enhancing its spatial awareness and motor planning capabilities.
 
 {f"The synesthesia rating of {synesthesia} is causing a fascinating cross-wiring of senses, perhaps manifesting as a perception of color or sound associated with the touch." if use_synesthesia else "Synesthesia is not active, focusing the experience on individual sensory channels."}
 
 The cumulative neural response of {neural_response_str} suggests a significant impact on the AI's cognitive processes. This could lead to adaptive behaviors, memory formation, or even influence future decision-making patterns.
-
 In response to this rich sensory tapestry, the AI might adjust its posture, initiate a verbal response, or update its internal model of the environment. The experience is likely to be stored in its memory banks, contributing to its ever-evolving understanding of physical interactions and sensory experiences."""
-
 # Use the defined prompt_template and ai_response
 prompt = prompt_template.format(
     touch_x_str, touch_y_str,
@@ -351,56 +375,5 @@ prompt = prompt_template.format(
     tickle_level_str, itch_level_str,
     proprioception_str, synesthesia, neural_response_str
 )
-
 st.write("AI Response:")
-st.write(ai_response)
-
-# Update autonomy
-sensory_input = {
-    'pain': pain_level,
-    'pleasure': pleasure_level,
-    'intensity': touch_pressure,
-    'duration': touch_duration,
-    'location': (touch_x, touch_y)
-}
-st.session_state.autonomy.update_state(sensory_input)
-
-# Display autonomy state
-st.write("### Autonomy State")
-st.write(f"Mood: {st.session_state.autonomy.mood:.2f}")
-st.write(f"Energy: {st.session_state.autonomy.energy:.2f}")
-st.write(f"Curiosity: {st.session_state.autonomy.curiosity:.2f}")
-
-# Display decision
-decision = st.session_state.autonomy.decide_action()
-st.write(f"Decision: {decision}")
-
-# Save interaction
-if st.button("Save Interaction"):
-    interaction_data = {
-        "timestamp": datetime.now().isoformat(),
-        "sensory_input": sensory_input,
-        "ai_state": {
-            "mood": st.session_state.autonomy.mood,
-            "energy": st.session_state.autonomy.energy,
-            "curiosity": st.session_state.autonomy.curiosity
-        },
-        "ai_response": ai_response,
-        "decision": decision
-    }
-    saved_file = save_interaction(interaction_data)
-    st.success(f"Interaction saved to {saved_file}")
-
-# Display recent interactions
-st.subheader("Recent Interactions")
-interaction_files = sorted([f for f in os.listdir() if f.startswith("interaction_")], reverse=True)[:5]
-for file in interaction_files:
-    with open(file, "r") as f:
-        data = json.load(f)
-    st.write(f"Interaction at {data['timestamp']}")
-    st.write(f"Location: {data['sensory_input']['location']}")
-    st.write(f"AI Mood: {data['ai_state']['mood']:.2f}")
-    st.write(f"AI Energy: {data['ai_state']['energy']:.2f}")
-    st.write(f"AI Curiosity: {data['ai_state']['curiosity']:.2f}")
-    st.write(f"Decision: {data['decision']}")
-    st.write("---")
+st.write(ai_response)