Update app.py

app.py

@@ -341,28 +341,6 @@ AVATAR_HEIGHT = 800
 
 
 
-def create_heatmap(sensation_map):
-    # Calculate the overall sensitivity by taking the mean across all sensations
-    overall_sensitivity = np.mean(sensation_map, axis=2)
-    
-    # Create a figure and axis
-    fig, ax = plt.subplots(figsize=(10, 15))
-    
-    # Generate the heatmap
-    sns.heatmap(overall_sensitivity, cmap='YlOrRd', alpha=0.7, cbar=False, ax=ax)
-    
-    # Remove axes and labels
-    ax.set_axis_off()
-    
-    # Convert the plot to an image
-    buf = BytesIO()
-    plt.savefig(buf, format='png', bbox_inches='tight', pad_inches=0)
-    buf.seek(0)
-    heatmap_img = Image.open(buf)
-    
-    plt.close(fig)
-    
-    return heatmap_img
 # Your Streamlit app code goes here
 st.title("NeuraSense AI - Cyberpunk Edition")
 
@@ -457,6 +435,29 @@ def create_sensation_map(width, height):
 
 avatar_sensation_map = create_sensation_map(AVATAR_WIDTH, AVATAR_HEIGHT)
 
+# Create heatmap function
+def create_heatmap(sensation_map):
+    # Calculate the overall sensitivity by taking the mean across all sensations
+    overall_sensitivity = np.mean(sensation_map, axis=2)
+    
+    # Create a figure and axis
+    fig, ax = plt.subplots(figsize=(10, 15))
+    
+    # Generate the heatmap
+    sns.heatmap(overall_sensitivity, cmap='YlOrRd', alpha=0.7, cbar=False, ax=ax)
+    
+    # Remove axes and labels
+    ax.set_axis_off()
+    
+    # Convert the plot to an image
+    buf = BytesIO()
+    plt.savefig(buf, format='png', bbox_inches='tight', pad_inches=0)
+    buf.seek(0)
+    heatmap_img = Image.open(buf)
+    
+    plt.close(fig)
+    
+    return heatmap_img
 
 
 # Create futuristic human-like avatar
@@ -532,6 +533,60 @@ def create_avatar_with_heatmap():
 # Create the avatar with heatmap
 avatar_with_heatmap = create_avatar_with_heatmap()
 
+# Create avatar function
+def create_avatar():
+    img = Image.new('RGBA', (AVATAR_WIDTH, AVATAR_HEIGHT), color=(0, 0, 0, 0))
+    draw = ImageDraw.Draw(img)
+    
+    # Body
+    draw.polygon([(300, 100), (200, 250), (250, 600), (300, 750), (350, 600), (400, 250)], fill=(0, 255, 255, 100), outline=(0, 255, 255, 255))
+    
+    # Head
+    draw.ellipse([250, 50, 350, 150], fill=(0, 255, 255, 100), outline=(0, 255, 255, 255))
+    
+    # Eyes
+    draw.ellipse([275, 80, 295, 100], fill=(255, 255, 255, 200), outline=(0, 255, 255, 255))
+    draw.ellipse([305, 80, 325, 100], fill=(255, 255, 255, 200), outline=(0, 255, 255, 255))
+    
+    # Nose
+    draw.polygon([(300, 90), (290, 110), (310, 110)], fill=(0, 255, 255, 150))
+    
+    # Mouth
+    draw.arc([280, 110, 320, 130], 0, 180, fill=(0, 255, 255, 200), width=2)
+    
+    # Arms
+    draw.line([(200, 250), (150, 400)], fill=(0, 255, 255, 200), width=5)
+    draw.line([(400, 250), (450, 400)], fill=(0, 255, 255, 200), width=5)
+    
+    # Hands
+    draw.ellipse([140, 390, 160, 410], fill=(0, 255, 255, 150))
+    draw.ellipse([440, 390, 460, 410], fill=(0, 255, 255, 150))
+    
+    # Fingers
+    for i in range(5):
+        draw.line([(150 + i*5, 400), (145 + i*5, 420)], fill=(0, 255, 255, 200), width=2)
+        draw.line([(450 - i*5, 400), (455 - i*5, 420)], fill=(0, 255, 255, 200), width=2)
+    
+    # Legs
+    draw.line([(250, 600), (230, 780)], fill=(0, 255, 255, 200), width=5)
+    draw.line([(350, 600), (370, 780)], fill=(0, 255, 255, 200), width=5)
+    
+    # Feet
+    draw.ellipse([220, 770, 240, 790], fill=(0, 255, 255, 150))
+    draw.ellipse([360, 770, 380, 790], fill=(0, 255, 255, 150))
+    
+    # Toes
+    for i in range(5):
+        draw.line([(225 + i*3, 790), (223 + i*3, 800)], fill=(0, 255, 255, 200), width=2)
+        draw.line([(365 + i*3, 790), (363 + i*3, 800)], fill=(0, 255, 255, 200), width=2)
+    
+    # Neural network lines
+    for _ in range(100):
+        start = (np.random.randint(0, AVATAR_WIDTH), np.random.randint(0, AVATAR_HEIGHT))
+        end = (np.random.randint(0, AVATAR_WIDTH), np.random.randint(0, AVATAR_HEIGHT))
+        draw.line([start, end], fill=(0, 255, 255, 50), width=1)
+    
+    return img
 
 # Streamlit app
 st.title("NeuraSense AI: Advanced Humanoid Techno-Sensory Simulation")
@@ -539,7 +594,9 @@ st.title("NeuraSense AI: Advanced Humanoid Techno-Sensory Simulation")
 
 
 # Create two columns
-col1, col2 = st.columns([2, 1])
+
+# Create three columns
+col1, col2, col3 = st.columns(3)
 
 
 
@@ -560,7 +617,10 @@ canvas_result = st_canvas(
     )
 
 
-
+with col3:
+    st.subheader("Sensation Heatmap")
+    heatmap = create_heatmap(avatar_sensation_map)
+    st.image(heatmap, use_column_width=True)
         # Touch controls and output
 with col2:
     st.subheader("Neural Interface Controls")