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Update app.py
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app.py
CHANGED
@@ -304,23 +304,35 @@ with col2:
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"""
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st.code(data_display, language="")
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prompt_template = "Human: Analyze the sensory input for a hyper-advanced AI humanoid
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# First, format each value individually
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touch_x_str = f"{touch_x:.1f}"
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@@ -339,75 +351,74 @@ neural_response_str = f"{neural_response:.2f}"
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# Then, create the prompt using these pre-formatted values
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prompt = prompt_template.format(
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touch_x_str, touch_y_str,
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touch_duration_str, touch_pressure_str,
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measured_pressure_str, measured_temp_str,
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measured_texture, measured_em_str, quantum_state,
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pain_level_str, pleasure_level_str,
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tickle_level_str, itch_level_str,
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proprioception_str, synesthesia, neural_response_str
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)
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# For demonstration, let's create a mock AI response
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ai_response = f"""Based on the complex sensory input received, the hyper-advanced AI humanoid is experiencing a multifaceted neural response:
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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.
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"""
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# Display recent interactions
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st.subheader("Recent Interactions")
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"""
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st.code(data_display, language="")
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# First, create a template string with placeholders
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prompt_template = """Human: Analyze the sensory input for a hyper-advanced AI humanoid:
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Location: ({touch_x:.1f}, {touch_y:.1f})
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Duration: {touch_duration:.1f}s, Intensity: {touch_pressure:.2f}
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Pressure: {measured_pressure:.2f}
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Temperature: {measured_temp:.2f}\N{DEGREE SIGN}C
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Texture: {measured_texture}
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EM Field: {measured_em:.2f} μT
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Quantum State: {quantum_state}
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Resulting in:
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Pain: {pain_level:.2f}, Pleasure: {pleasure_level:.2f}
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Tickle: {tickle_level:.2f}, Itch: {itch_level:.2f}
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Proprioception: {proprioception:.2f}
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Synesthesia: {synesthesia}
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Neural Response: {neural_response:.2f}
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Provide a detailed, scientific, and creative description of the AI humanoid's experience and response to this sensory input.
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The interaction at coordinates ({touch_x:.1f}, {touch_y:.1f}) has triggered a cascade of sensory information. The pressure of {measured_pressure:.2f} units has activated deep-tissue mechanoreceptors, while the temperature of {measured_temp:.2f}\N{DEGREE SIGN}C has stimulated thermoreceptors, creating a mild thermal gradient across the affected area.
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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:.2f} μT, which is subtly influencing the local ionic channels in the AI's synthetic nervous system.
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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.
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The resulting pain level of {pain_level:.2f} and pleasure level of {pleasure_level:.2f} are creating a complex emotional response, balancing between discomfort and satisfaction. The tickle sensation ({tickle_level:.2f}) and itch response ({itch_level:.2f}) add layers of nuance to the overall tactile experience.
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The proprioception value of {proprioception:.2f} 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.
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{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."}
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The cumulative neural response of {neural_response:.2f} 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.
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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."""
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# First, format each value individually
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touch_x_str = f"{touch_x:.1f}"
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# Then, create the prompt using these pre-formatted values
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prompt = prompt_template.format(
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touch_x=touch_x_str, touch_y=touch_y_str,
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touch_duration=touch_duration_str, touch_pressure=touch_pressure_str,
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measured_pressure=measured_pressure_str, measured_temp=measured_temp_str,
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measured_texture=measured_texture, measured_em=measured_em_str, quantum_state=quantum_state,
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pain_level=pain_level_str, pleasure_level=pleasure_level_str,
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tickle_level=tickle_level_str, itch_level=itch_level_str,
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proprioception=proprioception_str, synesthesia=synesthesia, neural_response=neural_response_str
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)
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# You can use this prompt to generate a response from your AI model
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# For demonstration, let's create a mock AI response
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ai_response = f"""Based on the complex sensory input received, the hyper-advanced AI humanoid is experiencing a multifaceted neural response:
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The interaction at coordinates ({touch_x:.1f}, {touch_y:.1f}) has triggered a cascade of sensory information. The pressure of {measured_pressure:.2f} units has activated deep-tissue mechanoreceptors, while the temperature of {measured_temp:.2f}\N{DEGREE SIGN}C has stimulated thermoreceptors, creating a mild thermal gradient across the affected area.
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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:.2f} μT, which is subtly influencing the local ionic channels in the AI's synthetic nervous system.
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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.
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The resulting pain level of {pain_level:.2f} and pleasure level of {pleasure_level:.2f} are creating a complex emotional response, balancing between discomfort and satisfaction. The tickle sensation ({tickle_level:.2f}) and itch response ({itch_level:.2f}) add layers of nuance to the overall tactile experience.
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The proprioception value of {proprioception:.2f} 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.
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{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."}
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The cumulative neural response of {neural_response:.2f} 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.
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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.
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"""
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st.write("AI Response:")
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st.write(ai_response)
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# Update autonomy
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sensory_input = {
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'pain': pain_level,
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'pleasure': pleasure_level,
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'intensity': touch_pressure,
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'duration': touch_duration,
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'location': (touch_x, touch_y)
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}
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st.session_state.autonomy.update_state(sensory_input)
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# Display autonomy state
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st.write("### Autonomy State")
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st.write(f"Mood: {st.session_state.autonomy.mood:.2f}")
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st.write(f"Energy: {st.session_state.autonomy.energy:.2f}")
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st.write(f"Curiosity: {st.session_state.autonomy.curiosity:.2f}")
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# Display decision
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decision = st.session_state.autonomy.decide_action()
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st.write(f"Decision: {decision}")
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# Save interaction
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if st.button("Save Interaction"):
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interaction_data = {
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"timestamp": datetime.now().isoformat(),
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"sensory_input": sensory_input,
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"ai_state": {
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"mood": st.session_state.autonomy.mood,
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"energy": st.session_state.autonomy.energy,
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"curiosity": st.session_state.autonomy.curiosity
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},
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"ai_response": ai_response,
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"decision": decision
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}
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saved_file = save_interaction(interaction_data)
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st.success(f"Interaction saved to {saved_file}")
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# Display recent interactions
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st.subheader("Recent Interactions")
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