Update app.py from anycoder

app.py

@@ -29,11 +29,6 @@ class SolitaireEnvironment:
             if pile:
                 card = pile[-1]
                 moves.append(f"Move {card} to foundation")
-        # Check moves within tableau
-        for src_idx, src_pile in enumerate(self.tableau):
-            if src_pile:
-                card = src_pile[-1]
-                # Can we move to another tableau pile?
         return moves[:5]  # Limit to 5 moves for simplicity
 
 class SolitaireRLTrainer:
@@ -49,12 +44,6 @@ class SolitaireRLTrainer:
     def train_step(self, state_description: str, action: str, reward: float):
         # In a real implementation, this would update the model weights
         return f"Training step completed. Reward: {reward}"
-        
-    def get_reward(self, action: str):
-        # Simple reward function for demonstration
-        if "foundation" in action:
-            return 1.0
-        return 0.0
 
 class MistralSolitaireAgent:
     def __init__(self):
@@ -84,10 +73,6 @@ def train_mistral_solitaire(num_episodes: int, learning_rate: float):
 def play_solitaire_game(state_description: str, action: str):
     """Execute a move in the Solitaire game"""
     # Simulate game action
-    game_state = {
-        "tableau": [[random.randint(1, 13) for _ in range(i+1)] for i in range(7)]
-    
-    # Calculate reward based on action quality
     if "foundation" in action:
         reward = 0.8
     elif "tableau" in action:
@@ -98,8 +83,7 @@ def play_solitaire_game(state_description: str, action: str):
     return {
         "action_taken": action,
         "reward": reward,
-        "new_state": f"Game state after {action}",
-        "is_valid": True
+        "new_state": f"Game state after {action}"
     }
 
 def format_game_state(state: Dict) -> str:
@@ -132,15 +116,16 @@ def create_solitaire_ui():
                     maximum=1000,
                     value=100,
                     step=10
-                )
+            )
+            with gr.Row():
                 learning_rate = gr.Slider(
                     label="Learning Rate",
                     minimum=0.001,
                     maximum=0.1,
                     value=0.01,
                     step=0.001
-                )
-                
+            )
+            
             train_btn = gr.Button("Start Training", variant="primary")
             training_output = gr.JSON(label="Training Progress")
             
@@ -153,12 +138,11 @@ def create_solitaire_ui():
             
         with gr.Tab("Game Play"):
             with gr.Row():
-                game_state = gr.Textbox(
+                game_state_input = gr.Textbox(
                     label="Current Game State",
-                    lines=3
+                    lines=3,
+                    placeholder="Describe current game state..."
                 )
-                
-            with gr.Row():
                 action_input = gr.Textbox(
                     label="Action to Take",
                     placeholder="e.g., Move A♠ to foundation, Draw from deck"
@@ -169,7 +153,7 @@ def create_solitaire_ui():
             
             play_btn.click(
                 fn=play_solitaire_game,
-                inputs=[game_state, action_input],
+                inputs=[game_state_input, action_input],
                 outputs=[game_result],
                 api_visibility="public"
             )
@@ -199,7 +183,7 @@ if __name__ == "__main__":
     demo.launch(
         theme=gr.themes.Soft(
             primary_hue="blue",
-            secondary_hue="indigo", 
+            secondary_hue="indigo",
             neutral_hue="slate",
             font=gr.themes.GoogleFont("Inter"),
             text_size="lg",