Update app.py

app.py

@@ -362,7 +362,18 @@ exploration_type = st.selectbox("Choose a sensory exploration:",
 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)])
-    st.image(plt.imshow(quantum_field, cmap='viridis'), use_column_width=True)
+    
+    # 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)
 
 elif exploration_type == "Synesthesia Experience":
     st.write("Experience how the AI might perceive colors as sounds or textures as tastes.")
@@ -373,7 +384,18 @@ 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)])
-    st.image(plt.imshow(proprioceptive_map, cmap='coolwarm'), use_column_width=True)
+    
+    # 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")