Update app.py

app.py

@@ -15,36 +15,55 @@ class SecondLifeNavigator:
         self.dataset = self.load_dataset()
         
     def load_dataset(self):
-        # Loads the dataset directly from Hugging Face
-        dataset = load_dataset("visionlab/block-towers-10k-3s-trajectory-scale1")
+        # Assuming the dataset contains useful navigation data
+        dataset = load_dataset("visionlab/block-towers-10k-3s-trajectory-scale1", split='train')
         return dataset
 
-    def send_command_to_corrade(self, corrade_endpoint, command, parameters):
-        command_data = {
-            "command": command,
-            "group": "e269893f-a570-0087-930e-6ba2a0b77f9c",
-            "password": "nucleus",
-        }
-        command_data.update(parameters)
-
-        try:
-            response = requests.post(corrade_endpoint, json=command_data)
-            if response.status_code == 200:
-                return f"Command {command} executed successfully.", response.json()
-            else:
-                return f"Failed to execute command {command}: HTTP {response.status_code}", None
-        except Exception as e:
-            return f"Error sending command to Corrade: {e}", None
+    def find_nearest_position(self, current_xyz):
+        # Placeholder for a function that finds the nearest final position
+        # This is a simplistic approach; you might need a more complex logic depending on your dataset structure
+        min_distance = float('inf')
+        nearest_position = None
+        for position in self.dataset['final_positions']:
+            x, y, z = position['x'], position['y'], position['z']
+            distance = np.sqrt((x - current_xyz[0])**2 + (y - current_xyz[1])**2 + (z - current_xyz[2])**2)
+            if distance < min_distance:
+                min_distance = distance
+                nearest_position = position
+        return nearest_position
 
     def determine_action_sequence(self, current_state):
-        # Placeholder: Implement your logic here to analyze the current state and dataset,
-        # then determine the next action sequence.
-        return "Move to position X, Y, Z"
+        # Analyze current_state to extract current XYZ position
+        # This is a simplified example; your actual implementation might be different
+        current_xyz = [0, 0, 0]  # Assuming current_state can be used to derive current XYZ coordinates
+        
+        nearest_position = self.find_nearest_position(current_xyz)
+        if nearest_position:
+            action_sequence = f"Move to position {nearest_position['x']}, {nearest_position['y']}, {nearest_position['z']}"
+        else:
+            action_sequence = "No suitable position found."
+        return action_sequence
 
     def run(self, current_state, corrade_endpoint):
         action_sequence = self.determine_action_sequence(current_state)
         return action_sequence
-
+        
+    def send_command_to_corrade(self, corrade_endpoint, command, parameters):
+            command_data = {
+                "command": command,
+                "group": "e269893f-a570-0087-930e-6ba2a0b77f9c",
+                "password": "nucleus",
+            }
+            command_data.update(parameters)
+    
+            try:
+                response = requests.post(corrade_endpoint, json=command_data)
+                if response.status_code == 200:
+                    return f"Command {command} executed successfully.", response.json()
+                else:
+                    return f"Failed to execute command {command}: HTTP {response.status_code}", None
+            except Exception as e:
+                return f"Error sending command to Corrade: {e}", None
 def create_interface():
     def navigate(current_state):
         dataset_path = os.getenv('DATASET_PATH')  # Assuming the dataset path is set in an environment variable