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Update app.py
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app.py
CHANGED
@@ -843,74 +843,79 @@ st.write(response)
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# Constants
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AVATAR_WIDTH =
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AVATAR_HEIGHT =
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# Simplified sensation map
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st.subheader("Neuro-Sensory Map")
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fig, axs = plt.subplots(3, 3, figsize=(15, 15))
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titles = [
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'Pain', 'Pleasure', 'Pressure', 'Temperature', 'Texture',
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'Tickle', 'Itch', 'Proprioception', 'Synesthesia'
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]
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st.pyplot(fig)
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st.write("The neuro-sensory map illustrates the varying sensitivities across the AI's body. Brighter areas indicate heightened responsiveness to specific stimuli.")
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# Add information about the AI's capabilities
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st.subheader("NeuraSense AI: Advanced Sensory Capabilities")
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st.write("This advanced AI humanoid incorporates sophisticated sensory technology:")
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capabilities = [
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"1. High-Precision Pressure Sensors
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"2. Advanced Thermal Detectors
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"3. Adaptive Texture Analysis
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"4. Neural Network Integration
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"5. Proprioception Simulation
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"6. Synesthesia Emulation
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"7. Tickle and Itch Simulation
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"8. Adaptive Pain and Pleasure Modeling
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]
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for capability in capabilities:
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st.write(capability)
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st.write("The AI's responses are generated using an advanced language model, providing detailed analysis of its sensory experiences.")
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# Interactive sensory exploration
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st.subheader("Interactive Sensory Exploration")
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exploration_type = st.selectbox("Choose a sensory exploration:",
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["Synesthesia Experience", "Proprioceptive Mapping"])
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if exploration_type == "Synesthesia Experience":
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elif exploration_type == "Proprioceptive Mapping":
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# Footer
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st.write("---")
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import streamlit as st
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import matplotlib.pyplot as plt
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import numpy as np
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from PIL import Image
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import io
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# Constants
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AVATAR_WIDTH = 50 # Reduced size
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AVATAR_HEIGHT = 75 # Reduced size
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# Function to generate sensation data on-the-fly
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def generate_sensation_data(i, j):
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return np.random.rand()
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# Simplified sensation map
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st.subheader("Neuro-Sensory Map")
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titles = [
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'Pain', 'Pleasure', 'Pressure', 'Temperature', 'Texture',
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'Tickle', 'Itch', 'Proprioception', 'Synesthesia'
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]
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# Generate and display maps one at a time
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for title in titles:
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fig, ax = plt.subplots(figsize=(5, 5))
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sensation_map = np.array([[generate_sensation_data(i, j) for j in range(AVATAR_WIDTH)] for i in range(AVATAR_HEIGHT)])
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im = ax.imshow(sensation_map, cmap='plasma')
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ax.set_title(title)
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fig.colorbar(im, ax=ax)
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st.pyplot(fig)
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plt.close(fig) # Close the figure to free up memory
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st.write("The neuro-sensory maps illustrate the varying sensitivities across the AI's body. Brighter areas indicate heightened responsiveness to specific stimuli.")
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# Add information about the AI's capabilities
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st.subheader("NeuraSense AI: Advanced Sensory Capabilities")
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capabilities = [
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"1. High-Precision Pressure Sensors",
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"2. Advanced Thermal Detectors",
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"3. Adaptive Texture Analysis",
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"4. Neural Network Integration",
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"5. Proprioception Simulation",
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"6. Synesthesia Emulation",
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"7. Tickle and Itch Simulation",
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"8. Adaptive Pain and Pleasure Modeling"
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]
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for capability in capabilities:
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st.write(capability)
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# Interactive sensory exploration
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st.subheader("Interactive Sensory Exploration")
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exploration_type = st.selectbox("Choose a sensory exploration:",
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["Synesthesia Experience", "Proprioceptive Mapping"])
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if exploration_type == "Synesthesia Experience":
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st.write("Experience how the AI might perceive colors as sounds or textures as tastes.")
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synesthesia_map = np.random.rand(AVATAR_HEIGHT, AVATAR_WIDTH, 3)
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st.image(Image.fromarray((synesthesia_map * 255).astype(np.uint8)), use_column_width=True)
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elif exploration_type == "Proprioceptive Mapping":
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st.write("Explore the AI's sense of body position and movement.")
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proprioceptive_map = np.array([[np.linalg.norm([x - AVATAR_WIDTH/2, y - AVATAR_HEIGHT/2]) / (AVATAR_WIDTH/2)
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for x in range(AVATAR_WIDTH)] for y in range(AVATAR_HEIGHT)])
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buf = io.BytesIO()
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plt.figure(figsize=(5, 5))
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plt.imshow(proprioceptive_map, cmap='coolwarm')
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plt.savefig(buf, format='png')
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plt.close() # Close the figure to free up memory
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proprioceptive_image = Image.open(buf)
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st.image(proprioceptive_image, use_column_width=True)
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# Footer
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st.write("---")
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