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Update app.py
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app.py
CHANGED
@@ -637,14 +637,25 @@ def create_avatar():
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draw.line([start, end], fill=(0, 255, 255, 50), width=1)
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return img
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data = np.array(heatmap_img)
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if data.shape[2] == 3: # If RGB, add an alpha channel
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data = np.concatenate([data, np.full((data.shape[0], data.shape[1], 1), 255, dtype=np.uint8)], axis=2)
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data[:, :, 3] = data[:, :, 3] * 0.5 # Reduce opacity to 50%
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heatmap_img = Image.fromarray(data)
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return combined_img
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# Streamlit app
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@@ -652,7 +663,6 @@ st.title("NeuraSense AI: Advanced Humanoid Techno-Sensory Simulation")
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# Create two columns
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# Create three columns
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col1, col2, col3 = st.columns(3)
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draw.line([start, end], fill=(0, 255, 255, 50), width=1)
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return img
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def create_avatar_with_heatmap(sensation_map, sensation_type):
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# Create the base avatar
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avatar_img = create_avatar()
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# Create a heatmap
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heatmap_img = create_heatmap(sensation_map, sensation_type)
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# Resize heatmap to match avatar size
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heatmap_img = heatmap_img.resize((AVATAR_WIDTH, AVATAR_HEIGHT))
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# Adjust alpha channel of heatmap
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data = np.array(heatmap_img)
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if data.shape[2] == 3: # If RGB, add an alpha channel
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data = np.concatenate([data, np.full((data.shape[0], data.shape[1], 1), 255, dtype=np.uint8)], axis=2)
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data[:, :, 3] = data[:, :, 3] * 0.5 # Reduce opacity to 50%
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heatmap_img = Image.fromarray(data)
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# Combine avatar and heatmap
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combined_img = Image.alpha_composite(avatar_img.convert('RGBA'), heatmap_img.convert('RGBA'))
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return combined_img
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# Streamlit app
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# Create three columns
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col1, col2, col3 = st.columns(3)
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