Update app.py

app.py

@@ -843,74 +843,79 @@ st.write(response)
 
 
 
+import streamlit as st
+import matplotlib.pyplot as plt
+import numpy as np
+from PIL import Image
+import io
+
 # Constants
-AVATAR_WIDTH = 100
-AVATAR_HEIGHT = 150
+AVATAR_WIDTH = 50  # Reduced size
+AVATAR_HEIGHT = 75  # Reduced size
+
+# Function to generate sensation data on-the-fly
+def generate_sensation_data(i, j):
+    return np.random.rand()
 
 # Simplified sensation map
 st.subheader("Neuro-Sensory Map")
-fig, axs = plt.subplots(3, 3, figsize=(15, 15))
 titles = [
    'Pain', 'Pleasure', 'Pressure', 'Temperature', 'Texture',
    '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 // 3, i % 3]
-   im = ax.imshow(avatar_sensation_map[:, :, i], cmap='plasma')
-   ax.set_title(title)
-   fig.colorbar(im, ax=ax)
+# Generate and display maps one at a time
+for title in titles:
+    fig, ax = plt.subplots(figsize=(5, 5))
+    sensation_map = np.array([[generate_sensation_data(i, j) for j in range(AVATAR_WIDTH)] for i in range(AVATAR_HEIGHT)])
+    im = ax.imshow(sensation_map, cmap='plasma')
+    ax.set_title(title)
+    fig.colorbar(im, ax=ax)
+    st.pyplot(fig)
+    plt.close(fig)  # Close the figure to free up memory
 
-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.")
+st.write("The neuro-sensory maps illustrate 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("This advanced AI humanoid incorporates sophisticated sensory technology:")
-
 capabilities = [
-    "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. 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."
+    "1. High-Precision Pressure Sensors",
+    "2. Advanced Thermal Detectors",
+    "3. Adaptive Texture Analysis",
+    "4. Neural Network Integration",
+    "5. Proprioception Simulation",
+    "6. Synesthesia Emulation",
+    "7. Tickle and Itch Simulation",
+    "8. Adaptive Pain and Pleasure Modeling"
 ]
 
 for capability in capabilities:
     st.write(capability)
 
-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:",
                                ["Synesthesia Experience", "Proprioceptive Mapping"])
 
 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)
+    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)])
-  
-   buf = io.BytesIO()
-   plt.figure(figsize=(8, 6))
-   plt.imshow(proprioceptive_map, cmap='coolwarm')
-   plt.savefig(buf, format='png')
-  
-   proprioceptive_image = Image.open(buf)
-   st.image(proprioceptive_image, use_column_width=True)
+    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)])
+    
+    buf = io.BytesIO()
+    plt.figure(figsize=(5, 5))
+    plt.imshow(proprioceptive_map, cmap='coolwarm')
+    plt.savefig(buf, format='png')
+    plt.close()  # Close the figure to free up memory
+    
+    proprioceptive_image = Image.open(buf)
+    st.image(proprioceptive_image, use_column_width=True)
 
 # Footer
 st.write("---")