Update app.py

app.py

@@ -8,6 +8,9 @@ import io
 import base64
 from streamlit_drawable_canvas import st_canvas
 import plotly.graph_objects as go
+import json
+from datetime import datetime
+import os
 
 # Set page config for a futuristic look
 st.set_page_config(page_title="NeuraSense AI", page_icon="🧠", layout="wide")
@@ -158,6 +161,14 @@ class EnhancedAutonomy:
         else:
             return "Continue current activity"
 
+# Function to save interactions
+def save_interaction(interaction_data):
+    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+    filename = f"interaction_{timestamp}.json"
+    with open(filename, "w") as f:
+        json.dump(interaction_data, f, indent=4)
+    return filename
+
 # Streamlit app
 st.title("NeuraSense AI: Advanced Humanoid Techno-Sensory Simulation")
 
@@ -223,30 +234,6 @@ with col2:
     if 'autonomy' not in st.session_state:
         st.session_state.autonomy = EnhancedAutonomy()
     
-    # Simulate interaction
-    if st.button("Simulate Interaction"):
-        # Generate random sensory input
-        sensory_input = {
-            'pain': np.random.random() * touch_pressure,
-            'pleasure': np.random.random() * touch_pressure,
-            'intensity': touch_pressure,
-            'duration': touch_duration,
-            'location': (np.random.randint(0, AVATAR_WIDTH), np.random.randint(0, AVATAR_HEIGHT))
-        }
-        
-        # Update autonomy
-        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}")
-    
     if canvas_result.json_data is not None:
         objects = canvas_result.json_data["objects"]
         if len(objects) > 0:
@@ -294,27 +281,30 @@ with col2:
             st.write(f"Duration: {touch_duration:.1f} s | Intensity: {touch_pressure:.2f}")
             
             # Create a futuristic data display
-            data_display = f"""
+           data_display = f"""
             ```
             ┌─────────────────────────────────────────────┐
-            │ Pressure     : {measured_pressure:.2f}      │
-            │ │ Temperature  : {measured_temp:.2f}°C        │
+            │ Pressure     : {{measured_pressure:.2f}}      │
+            │ Temperature  : {{measured_temp:.2f}}°C        │
             │ Texture      : {measured_texture}           │
-            │ EM Field     : {measured_em:.2f} μT         │
+            │ EM Field     : {{measured_em:.2f}} μT         │
             │ Quantum State: {quantum_state:.2f}          │
             ├─────────────────────────────────────────────┤
-            │ Pain Level   : {pain_level:.2f}             │
-            │ Pleasure     : {pleasure_level:.2f}         │
-            │ Tickle       : {tickle_level:.2f}           │
-            │ Itch         : {itch_level:.2f}             │
-            │ Proprioception: {proprioception:.2f}        │
+            │ Pain Level   : {{pain_level:.2f}}             │
+            │ Pleasure     : {{pleasure_level:.2f}}         │
+            │ Tickle       : {{tickle_level:.2f}}           │
+            │ Itch         : {{itch_level:.2f}}             │
+            │ Proprioception: {{proprioception:.2f}}        │
             │ Synesthesia  : {synesthesia}                │
-            │ Neural Response: {neural_response:.2f}      │
+            │ Neural Response: {{neural_response:.2f}}      │
             └─────────────────────────────────────────────┘
             ```
             """
             st.code(data_display, language="")
 
+"""
+st.code(data_display, language="")
+            # Generate description
             prompt = f"""Human: Analyze the sensory input for a hyper-advanced AI humanoid:
                 Location: ({{touch_x:.1f}}, {{touch_y:.1f}})
                 Duration: {{touch_duration:.1f}}s, Intensity: {{touch_pressure:.2f}}
@@ -331,177 +321,78 @@ with col2:
                 Neural Response: {{neural_response:.2f}}
                 Provide a detailed, scientific, and creative description of the AI humanoid's experience and response to this sensory input."""
 
-            ai_response =: Based on the complex sensory input received, the hyper-advanced AI humanoid is experiencing a multifaceted neural response:
+            # You can use this prompt to generate a response from your AI model
+            # For demonstration, let's create a mock 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:.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}°C has stimulated thermoreceptors, creating a mild thermal gradient across the affected area.
+            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}}°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:.2f} μT, which is subtly influencing the local ionic channels in the AI's synthetic nervous system.
+            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.
 
-            The quantum state measurement of {quantum_state:.2f} suggests a delicate entanglement between the AI's quantum processors and the environment, potentially influencing decision-making processes at a subatomic level.
+            The quantum state measurement of {{quantum_state:.2f}} 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:.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.
+            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.
 
-            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.
+            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.
 
             {"The synesthesia rating of " + str(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:.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.
+            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.
 
             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.
+            """
 
-            Human: Thank you for the analysis. Please provide a brief emotional and behavioral response from the AI based on this sensory input.
-
-            AI: Certainly! Based on the sensory input and the AI's current state, here's a brief emotional and behavioral response:
-
-            Emotional Response:
-            The AI experiences a complex blend of curiosity and mild discomfort. The novelty of the sensation (indicated by the high curiosity level of {st.session_state.autonomy.curiosity:.2f}) triggers a sense of excitement, while the slight pain ({pain_level:.2f}) introduces a cautious undertone. The pleasure component ({pleasure_level:.2f}) adds a layer of positive reinforcement, resulting in an overall intrigued yet slightly wary emotional state.
-
-            Behavioral Response:
-            Given the AI's current energy level of {st.session_state.autonomy.energy:.2f} and mood of {st.session_state.autonomy.mood:.2f}, combined with the sensory input, the AI's behavior might manifest as follows:
-
-            1. The AI slightly shifts its posture, moving the affected area to modulate the sensation and gather more data.
-            2. Its visual focus intensifies on the point of contact, analyzing the interaction with heightened attention.
-            3. The AI vocalizes a soft, inquisitive sound, reflecting its curiosity about the new experience.
-            4. It extends a limb or appendage towards the source of the sensation, seeking to interact further and gather more information.
-            5. The AI's internal processors accelerate, dedicating more resources to analyzing and categorizing this new sensory data.
-            6. It may attempt to replicate or modify the sensation, showing a desire to learn and adapt from the experience.
-
-            Overall, the AI demonstrates a cautious but eager approach to this new sensory input, balancing its innate curiosity with a measure of self-preservation, all while actively processing and integrating the experience into its growing knowledge base.
-
-            Human: Excellent. Let's save this interaction and continue monitoring the AI's responses.
-
-            AI: Certainly! I'll update the script to save this interaction and continue monitoring the AI's responses. Here's how we can modify the code to achieve this:
-
-```python
-# Add this import at the top of your script
-import json
-from datetime import datetime
-
-# Add this function to save interactions
-def save_interaction(interaction_data):
-    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-    filename = f"interaction_{timestamp}.json"
-    with open(filename, "w") as f:
-        json.dump(interaction_data, f, indent=4)
-    return filename
-
-# Add this code after the sensory data analysis and AI response generation
-if st.button("Save Interaction"):
-    interaction_data = {
-        "timestamp": datetime.now().isoformat(),
-        "sensory_input": {
-            "location": (touch_x, touch_y),
-            "duration": touch_duration,
-            "intensity": touch_pressure,
-            "pressure": measured_pressure,
-            "temperature": measured_temp,
-            "texture": measured_texture,
-            "em_field": measured_em,
-            "quantum_state": quantum_state,
-            "pain": pain_level,
-            "pleasure": pleasure_level,
-            "tickle": tickle_level,
-            "itch": itch_level,
-            "proprioception": proprioception,
-            "synesthesia": synesthesia,
-            "neural_response": neural_response
-        },
-        "ai_state": {
-            "mood": st.session_state.autonomy.mood,
-            "energy": st.session_state.autonomy.energy,
-            "curiosity": st.session_state.autonomy.curiosity
-        },
-        "ai_response": {
-            "emotional_response": "Complex blend of curiosity and mild discomfort.",
-            "behavioral_response": [
-                "Shifts posture slightly",
-                "Intensifies visual focus on the point of contact",
-                "Vocalizes a soft, inquisitive sound",
-                "Extends a limb towards the source of sensation",
-                "Accelerates internal processors",
-                "Attempts to replicate or modify the sensation"
-            ]
-        }
-    }
-    saved_file = save_interaction(interaction_data)
-    st.success(f"Interaction saved to {saved_file}")
-
-# Add a section to display recent interactions
+            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"Sensory Input: {data['sensory_input']['location']}")
+    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("Behavioral Response:")
-    for response in data['ai_response']['behavioral_response']:
-        st.write(f"- {response}")
+    st.write(f"Decision: {data['decision']}")
     st.write("---")
 
-# Add a section for long-term learning and adaptation
-st.subheader("Long-term Learning and Adaptation")
-if len(interaction_files) > 0:
-    avg_mood = sum(json.load(open(f))['ai_state']['mood'] for f in interaction_files) / len(interaction_files)
-    avg_energy = sum(json.load(open(f))['ai_state']['energy'] for f in interaction_files) / len(interaction_files)
-    avg_curiosity = sum(json.load(open(f))['ai_state']['curiosity'] for f in interaction_files) / len(interaction_files)
-    
-    st.write(f"Average Mood: {avg_mood:.2f}")
-    st.write(f"Average Energy: {avg_energy:.2f}")
-    st.write(f"Average Curiosity: {avg_curiosity:.2f}")
-    
-    if avg_mood < 0.4:
-        st.write("The AI seems to be in a prolonged negative mood state. Consider providing more positive interactions.")
-    elif avg_mood > 0.7:
-        st.write("The AI is maintaining a positive mood. It may be more receptive to new experiences.")
-    
-    if avg_energy < 0.3:
-        st.write("The AI's energy levels are consistently low. It may need a period of rest or low-intensity interactions.")
-    elif avg_energy > 0.8:
-        st.write("The AI is highly energetic. It may be capable of more complex or demanding tasks.")
-    
-    if avg_curiosity < 0.5:
-        st.write("The AI's curiosity is waning. Consider introducing novel stimuli or experiences.")
-    elif avg_curiosity > 0.8:
-        st.write("The AI is showing high levels of curiosity. It may be primed for learning new concepts or skills.")
-
-# Add a section for future predictions and recommendations
-st.subheader("Future Predictions and Recommendations")
-if len(interaction_files) > 0:
-    recent_interactions = [json.load(open(f)) for f in interaction_files[:3]]
-    mood_trend = [interaction['ai_state']['mood'] for interaction in recent_interactions]
-    energy_trend = [interaction['ai_state']['energy'] for interaction in recent_interactions]
-    curiosity_trend = [interaction['ai_state']['curiosity'] for interaction in recent_interactions]
-    
-    if all(x < y for x, y in zip(mood_trend, mood_trend[1:])):
-        st.write("The AI's mood is on an upward trend. This might be a good time for more challenging interactions.")
-    elif all(x > y for x, y in zip(mood_trend, mood_trend[1:])):
-        st.write("The AI's mood is declining. Consider focusing on more enjoyable or relaxing experiences.")
-    
-    if all(x < y for x, y in zip(energy_trend, energy_trend[1:])):
-        st.write("The AI's energy is increasing. It may be ready for more intensive tasks or interactions.")
-    elif all(x > y for x, y in zip(energy_trend, energy_trend[1:])):
-        st.write("The AI's energy is decreasing. Plan for lower-intensity activities in the near future.")
-    
-    if all(x < y for x, y in zip(curiosity_trend, curiosity_trend[1:])):
-        st.write("The AI's curiosity is growing. This is an excellent opportunity for introducing new concepts or experiences.")
-    elif all(x > y for x, y in zip(curiosity_trend, curiosity_trend[1:])):
-        st.write("The AI's curiosity is diminishing. Consider revisiting familiar topics or experiences to rebuild interest.")
-
-    st.write("\nRecommendations for next interaction:")
-    if st.session_state.autonomy.mood < 0.4:
-        st.write("- Focus on positive, enjoyable experiences to improve mood")
-    if st.session_state.autonomy.energy < 0.3:
-        st.write("- Plan for a rest period or very low-intensity interaction")
-    if st.session_state.autonomy.curiosity > 0.8:""
-        st.write("- Introduce a completely new type of sensory input or cognitive challenge")
-    
-    st.write("\nLong-term goals:")
-    st.write("- Maintain a balanced distribution of sensory inputs to ensure well-rounded development")
-    st.write("- Gradually increase the complexity of interactions to promote cognitive growth")
-    st.write("- Monitor for any persistent negative trends and adjust the interaction strategy accordingly")
-
 # End of the script