Update app.py

app.py

@@ -843,113 +843,76 @@ st.write(response)
 
 
 
-# Visualize sensation map
-st.subheader("Quantum Neuro-Sensory Map")
-fig, axs = plt.subplots(3, 4, figsize=(20, 15))
+# Constants
+AVATAR_WIDTH = 100
+AVATAR_HEIGHT = 150
+
+# Simplified sensation map
+st.subheader("Neuro-Sensory Map")
+fig, axs = plt.subplots(3, 3, figsize=(15, 15))
 titles = [
    'Pain', 'Pleasure', 'Pressure', 'Temperature', 'Texture',
-   'EM Field', 'Tickle', 'Itch', 'Quantum', 'Neural',
-   'Proprioception', 'Synesthesia'
+   'Tickle', 'Itch', 'Proprioception', 'Synesthesia'
 ]
 
-
+avatar_sensation_map = np.random.rand(AVATAR_HEIGHT, AVATAR_WIDTH, len(titles))
 
 for i, title in enumerate(titles):
-   ax = axs[i // 4, i % 4]
+   ax = axs[i // 3, i % 3]
    im = ax.imshow(avatar_sensation_map[:, :, i], cmap='plasma')
    ax.set_title(title)
    fig.colorbar(im, ax=ax)
 
-
-
 plt.tight_layout()
 st.pyplot(fig)
 
+st.write("The neuro-sensory map illustrates the varying sensitivities across the AI's body. Brighter areas indicate heightened responsiveness to specific stimuli.")
 
+# Add information about the AI's capabilities
+st.subheader("NeuraSense AI: Advanced Sensory Capabilities")
 
-st.write("The quantum neuro-sensory map illustrates the varying sensitivities across the AI's body. Brighter areas indicate heightened responsiveness to specific stimuli.")
-
-
-
-# Add information about the AI's advanced capabilities
-st.subheader("NeuraSense AI: Cutting-Edge Sensory Capabilities")
-
-st.write("This hyper-advanced AI humanoid incorporates revolutionary sensory technology:")
+st.write("This advanced AI humanoid incorporates sophisticated sensory technology:")
 
 capabilities = [
-    "1. Quantum-Enhanced Pressure Sensors: Utilize quantum tunneling effects for unparalleled sensitivity.",
-    "2. Nano-scale Thermal Detectors: Capable of detecting temperature variations to 0.001°C.",
+    "1. High-Precision Pressure Sensors: Provide exceptional sensitivity to touch and pressure.",
+    "2. Advanced Thermal Detectors: Capable of detecting fine temperature variations.",
     "3. Adaptive Texture Analysis: Employs machine learning to continually refine texture perception.",
-    "4. Electromagnetic Field Sensors: Can detect and analyze complex EM patterns in the environment.",
-    "5. Quantum State Detector: Interprets quantum phenomena, adding a new dimension to sensory input.",
-    "6. Neural Network Integration: Simulates complex interplay of sensations, creating emergent experiences.",
-    "7. Proprioception Simulation: Accurately models the AI's sense of body position and movement.",
-    "8. Synesthesia Emulation: Allows for cross-modal sensory experiences, mixing different sensory inputs.",
-    "9. Tickle and Itch Simulation: Replicates these unique sensations with quantum-level precision.",
-    "10. Adaptive Pain and Pleasure Modeling: Simulates complex emotional and physical responses to stimuli."
+    "4. Neural Network Integration: Simulates complex interplay of sensations, creating emergent experiences.",
+    "5. Proprioception Simulation: Accurately models the AI's sense of body position and movement.",
+    "6. Synesthesia Emulation: Allows for cross-modal sensory experiences, mixing different sensory inputs.",
+    "7. Tickle and Itch Simulation: Replicates these unique sensations with high precision.",
+    "8. Adaptive Pain and Pleasure Modeling: Simulates complex emotional and physical responses to stimuli."
 ]
 
 for capability in capabilities:
     st.write(capability)
 
-st.write("The AI's responses are generated using an advanced language model, providing detailed scientific analysis of its sensory experiences.")
-st.write("This simulation showcases the potential for creating incredibly sophisticated and responsive artificial sensory systems that go beyond human capabilities.")
-
-
+st.write("The AI's responses are generated using an advanced language model, providing detailed analysis of its sensory experiences.")
 
 # Interactive sensory exploration
 st.subheader("Interactive Sensory Exploration")
 exploration_type = st.selectbox("Choose a sensory exploration:",
-                               ["Quantum Field Fluctuations", "Synesthesia Experience", "Proprioceptive Mapping"])
-
-
-
-if exploration_type == "Quantum Field Fluctuations":
-   st.write("Observe how quantum fields fluctuate across the AI's body.")
-   quantum_field = np.array([[QuantumSensor.measure(x, y, 1) for x in range(AVATAR_WIDTH)] for y in range(AVATAR_HEIGHT)])
-  
-   # Save the plot to an in-memory buffer
-   buf = io.BytesIO()
-   plt.figure(figsize=(8, 6))
-   plt.imshow(quantum_field, cmap='viridis')
-   plt.savefig(buf, format='png')
-  
-   # Create a PIL Image object from the buffer
-   quantum_image = Image.open(buf)
-  
-   # Display the image using st.image()
-   st.image(quantum_image, use_column_width=True)
-
+                               ["Synesthesia Experience", "Proprioceptive Mapping"])
 
-
-elif exploration_type == "Synesthesia Experience":
+if exploration_type == "Synesthesia Experience":
    st.write("Experience how the AI might perceive colors as sounds or textures as tastes.")
    synesthesia_map = np.random.rand(AVATAR_HEIGHT, AVATAR_WIDTH, 3)
    st.image(Image.fromarray((synesthesia_map * 255).astype(np.uint8)), use_column_width=True)
 
-
-
 elif exploration_type == "Proprioceptive Mapping":
    st.write("Explore the AI's sense of body position and movement.")
    proprioceptive_map = np.array([[np.linalg.norm([x - AVATAR_WIDTH/2, y - AVATAR_HEIGHT/2]) / (AVATAR_WIDTH/2)
                                    for x in range(AVATAR_WIDTH)] for y in range(AVATAR_HEIGHT)])
   
-   # Save the plot to an in-memory buffer
    buf = io.BytesIO()
    plt.figure(figsize=(8, 6))
    plt.imshow(proprioceptive_map, cmap='coolwarm')
    plt.savefig(buf, format='png')
   
-   # Create a PIL Image object from the buffer
    proprioceptive_image = Image.open(buf)
-  
-   # Display the image using st.image()
    st.image(proprioceptive_image, use_column_width=True)
+
 # Footer
 st.write("---")
-st.write("NeuraSense AI: Quantum-Enhanced Sensory Simulation v4.0")
-st.write("Disclaimer: This is an advanced simulation and does not represent current technological capabilities.""")
-
-# After processing
-torch.cuda.empty_cache()
-gc.collect()
+st.write("NeuraSense AI: Advanced Sensory Simulation v4.0")
+st.write("Disclaimer: This is an advanced simulation and does not represent current technological capabilities.")