Update app.py

app.py

@@ -495,8 +495,6 @@ def generate_ai_response(keypoints, sensation_map):
 
 uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
 
-# ... (rest of your code)
-
 if uploaded_file is not None:
     # Read the image
     image_path = 'temp.jpg'
@@ -558,8 +556,7 @@ if uploaded_file is not None:
     if st.button("Generate AI Response"):
         response = generate_ai_response(keypoints, sensation_map)
         st.write("AI Response:", response)
-       
-   
+        
     # Touch controls and output
     st.subheader("Neural Interface Controls")
     
@@ -574,54 +571,59 @@ if uploaded_file is not None:
     
     # Toggle synesthesia
     use_synesthesia = st.checkbox("Enable Synesthesia", value=False)
+    
     # Add this with your other UI elements
     show_heatmap = st.checkbox("Show Sensation Heatmap", value=True)
     
-    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}")  
+    if st.button("Simulate Interaction"):
+    # Simulate interaction at the clicked point
+    if clicked_points:
+        touch_x, touch_y = clicked_points[-1]
+        
+        sensation = sensation_map[touch_y, 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 = pressure_sens * touch_pressure
+        measured_temp = temp_sens  # Assuming temperature doesn't change
+        measured_texture = texture_sens  # Assuming texture doesn't change
+        measured_em = em_sens  # Assuming EM field doesn't change
+        
+        if use_quantum:
+            quantum_state = 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 - image_width/2, touch_y - image_height/2]) / (image_width/2)
+        
+        # Synesthesia (mixing of senses)
+        if use_synesthesia:
+            synesthesia = synesthesia_sens * (measured_pressure + measured_temp + measured_em) / 3
+        else:
+            synesthesia = "N/A"
+        
+        st.write("### Simulated Interaction Results")
+        st.write(f"Interaction Point: ({touch_x:.1f}, {touch_y:.1f})")
+        st.write(f"Duration: {touch_duration:.1f} s | Intensity: {touch_pressure:.2f}")
+        st.write(f"Pain: {pain_level:.2f} | Pleasure: {pleasure_level:.2f} | Pressure: {measured_pressure:.2f}")
+        st.write(f"Temperature: {measured_temp:.2f} | Texture: {measured_texture:.2f} | EM Field: {measured_em:.2f}")
+        st.write(f"Tickle: {tickle_level:.2f} | Itch: {itch_level:.2f} | Quantum: {quantum_state}")
+        st.write(f"Neural: {neural_sens:.2f} | Proprioception: {proprioception:.2f} | Synesthesia: {synesthesia}")
+        
+        # Display a heatmap of the sensations
+        if show_heatmap:
+            heatmap = create_heatmap(sensation_map, sensation_types.index("Pain"))
+            st.image(heatmap, use_column_width=True)
         
 # Create a futuristic data display
 data_display = (