Update app.py

app.py

@@ -541,72 +541,68 @@ canvas_result = st_canvas(
     )
 
 
-# Touch controls and output
-with col2:
-   st.subheader("Neural Interface Controls")
-  
-   # Touch duration
-   touch_duration = st.slider("Interaction Duration (s)", 0.1, 5.0, 1.0, 0.1)
-  
-   # Touch pressure
-   touch_pressure = st.slider("Interaction Intensity", 0.1, 2.0, 1.0, 0.1)
-  
-   # Toggle quantum feature
-   use_quantum = st.checkbox("Enable Quantum Sensing", value=True)
-  
-   # Toggle synesthesia
-   use_synesthesia = st.checkbox("Enable Synesthesia", value=False)
-  
-if canvas_result.json_data is not None:
-    objects = canvas_result.json_data["objects"]
-    if len(objects) > 0:
-        last_touch = objects[-1]
-        touch_x, touch_y = last_touch["left"], last_touch["top"]
-        
-        sensation = avatar_sensation_map[int(touch_y), int(touch_x)]
-        (
-            pain, pleasure, pressure_sens, temp_sens, texture_sens,
-            em_sens, tickle_sens, itch_sens, quantum_sens, neural_sens,
-            proprioception_sens, synesthesia_sens
-        ) = sensation
-
-        measured_pressure = QuantumSensor.measure(touch_x, touch_y, pressure_sens) * touch_pressure
-        measured_temp = NanoThermalSensor.measure(37, touch_pressure, touch_duration)
-        measured_texture = AdaptiveTextureSensor.measure(touch_x, touch_y)
-        measured_em = EMFieldSensor.measure(touch_x, touch_y, em_sens)
-        
-        if use_quantum:
-            quantum_state = QuantumSensor.measure(touch_x, touch_y, quantum_sens)
-        else:
-            quantum_state = "N/A"
-
 
-
-           # Calculate overall sensations
-        pain_level = pain * measured_pressure * touch_pressure
-        pleasure_level = pleasure * (measured_temp - 37) / 10
-        tickle_level = tickle_sens * (1 - np.exp(-touch_duration / 0.5))
-        itch_level = itch_sens * (1 - np.exp(-touch_duration / 1.5))
-          
-           # Proprioception (sense of body position)
-        proprioception = proprioception_sens * np.linalg.norm([touch_x - AVATAR_WIDTH/2, touch_y - AVATAR_HEIGHT/2]) / (AVATAR_WIDTH/2)
-          
-           # Synesthesia (mixing of senses)
-         if use_synesthesia:
-         synesthesia = synesthesia_sens * (measured_pressure + measured_temp + measured_em) / 3
-        else:
-               synesthesia = "N/A"
-          
-           # Neural network simulation
-        neural_inputs = [pain_level, pleasure_level, measured_pressure, measured_temp, measured_em, tickle_level, itch_level, proprioception]
-        neural_response = NeuralNetworkSimulator.process(neural_inputs)
-
-
-
-           st.write("### Sensory Data Analysis")
-           st.write(f"Interaction Point: ({touch_x:.1f}, {touch_y:.1f})")
-           st.write(f"Duration: {touch_duration:.1f} s | Intensity: {touch_pressure:.2f}")
-          
+        # Touch controls and output
+with col2:
+    st.subheader("Neural Interface Controls")
+    
+    # Touch duration
+    touch_duration = st.slider("Interaction Duration (s)", 0.1, 5.0, 1.0, 0.1)
+    
+    # Touch pressure
+    touch_pressure = st.slider("Interaction Intensity", 0.1, 2.0, 1.0, 0.1)
+    
+    # Toggle quantum feature
+    use_quantum = st.checkbox("Enable Quantum Sensing", value=True)
+    
+    # Toggle synesthesia
+    use_synesthesia = st.checkbox("Enable Synesthesia", value=False)
+    
+    if canvas_result.json_data is not None:
+        objects = canvas_result.json_data["objects"]
+        if len(objects) > 0:
+            last_touch = objects[-1]
+            touch_x, touch_y = last_touch["left"], last_touch["top"]
+            
+            sensation = avatar_sensation_map[int(touch_y), int(touch_x)]
+            (
+                pain, pleasure, pressure_sens, temp_sens, texture_sens,
+                em_sens, tickle_sens, itch_sens, quantum_sens, neural_sens,
+                proprioception_sens, synesthesia_sens
+            ) = sensation
+
+            measured_pressure = QuantumSensor.measure(touch_x, touch_y, pressure_sens) * touch_pressure
+            measured_temp = NanoThermalSensor.measure(37, touch_pressure, touch_duration)
+            measured_texture = AdaptiveTextureSensor.measure(touch_x, touch_y)
+            measured_em = EMFieldSensor.measure(touch_x, touch_y, em_sens)
+            
+            if use_quantum:
+                quantum_state = QuantumSensor.measure(touch_x, touch_y, quantum_sens)
+            else:
+                quantum_state = "N/A"
+
+            # Calculate overall sensations
+            pain_level = pain * measured_pressure * touch_pressure
+            pleasure_level = pleasure * (measured_temp - 37) / 10
+            tickle_level = tickle_sens * (1 - np.exp(-touch_duration / 0.5))
+            itch_level = itch_sens * (1 - np.exp(-touch_duration / 1.5))
+            
+            # Proprioception (sense of body position)
+            proprioception = proprioception_sens * np.linalg.norm([touch_x - AVATAR_WIDTH/2, touch_y - AVATAR_HEIGHT/2]) / (AVATAR_WIDTH/2)
+            
+            # Synesthesia (mixing of senses)
+            if use_synesthesia:
+                synesthesia = synesthesia_sens * (measured_pressure + measured_temp + measured_em) / 3
+            else:
+                synesthesia = "N/A"
+            
+            # Neural network simulation
+            neural_inputs = [pain_level, pleasure_level, measured_pressure, measured_temp, measured_em, tickle_level, itch_level, proprioception]
+            neural_response = NeuralNetworkSimulator.process(neural_inputs)
+
+            st.write("### Sensory Data Analysis")
+            st.write(f"Interaction Point: ({touch_x:.1f}, {touch_y:.1f})")
+            st.write(f"Duration: {touch_duration:.1f} s | Intensity: {touch_pressure:.2f}")  
         
 # Create a futuristic data display
 data_display = (