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Update app.py
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app.py
CHANGED
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@@ -7,8 +7,8 @@ from typing import List
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model = Llama(
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model_path=hf_hub_download(
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repo_id=os.environ.get("REPO_ID", "Lyte/QuadConnect2.5-1.5B-v0.1.0b"),
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filename=os.environ.get("MODEL_FILE", "unsloth.Q8_0.gguf"),
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),
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n_ctx=16384
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)
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@@ -386,71 +386,114 @@ def create_interface():
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game_state = game.format_game_state()
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print(game_state)
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#
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{"role": "user", "content": game_state}
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],
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temperature=temperature,
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top_p=0.95,
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max_tokens=1024
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)
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ai_response = response['choices'][0]['message']['content']
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print(ai_response)
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# Extract reasoning and move
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try:
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reasoning = ai_response.split("<reasoning>")[1].split("</reasoning>")[0].strip()
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move_str = extract_xml_move(ai_response)
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<div id="ai-reasoning">
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<div class="reasoning-box">
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<p><strong>π€ Reasoning:</strong></p>
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<p>{
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<p><strong>π Move chosen:</strong> Column {move_str.upper()}</p>
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</div>
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</div>
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'''
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if
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if
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game.game_over = True
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render_board(game.board),
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"AI
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]
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return
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def reset_game():
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game.board = np.zeros((6, 7))
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model = Llama(
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model_path=hf_hub_download(
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repo_id=os.environ.get("REPO_ID", "Lyte/QuadConnect2.5-1.5B-v0.1.0b"),
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filename=os.environ.get("MODEL_FILE", "unsloth.Q8_0.gguf"),
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),
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n_ctx=16384
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)
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game_state = game.format_game_state()
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print(game_state)
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# Create streaming response generator
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def stream_response():
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# Initialize streaming response
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reasoning_html = '<div id="ai-reasoning"><div class="reasoning-box"><p><strong>π€ Reasoning:</strong></p><p>'
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# Initialize variables to store the full response
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full_response = ""
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reasoning_content = ""
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move_str = ""
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# Set up streaming
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response_stream = model.create_chat_completion(
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messages=[
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{"role": "system", "content": SYSTEM_PROMPT},
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{"role": "user", "content": game_state}
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],
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temperature=temperature,
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top_p=0.95,
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max_tokens=1024,
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stream=True
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)
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# Process stream chunks
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for chunk in response_stream:
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if 'choices' in chunk and len(chunk['choices']) > 0:
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content = chunk['choices'][0]['delta'].get('content', '')
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if content:
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full_response += content
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# Try to extract reasoning as it comes
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if "<reasoning>" in full_response and "</reasoning>" in full_response:
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parts = full_response.split("<reasoning>")
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if len(parts) > 1:
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reasoning_parts = parts[1].split("</reasoning>")
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if len(reasoning_parts) > 0:
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reasoning_content = reasoning_parts[0].strip()
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# Update the HTML with the current reasoning content
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current_reasoning_html = reasoning_html + reasoning_content + '</p>'
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# Try to extract move as it comes
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temp_move_str = extract_xml_move(full_response)
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if temp_move_str:
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move_str = temp_move_str
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current_reasoning_html += f'<p><strong>π Move chosen:</strong> Column {move_str.upper()}</p>'
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current_reasoning_html += '</div></div>'
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# Yield the updated HTML
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yield [
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render_board(game.board),
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"AI is thinking...",
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current_reasoning_html
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]
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# Final response with complete reasoning and move
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if not reasoning_content:
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try:
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reasoning_content = full_response.split("<reasoning>")[1].split("</reasoning>")[0].strip()
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except:
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reasoning_content = "AI couldn't provide clear reasoning."
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if not move_str:
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move_str = extract_xml_move(full_response)
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final_reasoning_html = f'''
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<div id="ai-reasoning">
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<div class="reasoning-box">
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<p><strong>π€ Reasoning:</strong></p>
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<p>{reasoning_content}</p>
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<p><strong>π Move chosen:</strong> Column {move_str.upper() if move_str else "?"}</p>
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</div>
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</div>
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'''
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# Make AI move
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if move_str:
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ai_col = game.parse_ai_move(move_str)
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if ai_col != -1:
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success, _ = game.make_move(ai_col)
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if success:
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# Check for AI winner
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winner = game.check_winner()
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if winner == 2:
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game.game_over = True
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yield [
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render_board(game.board),
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"π€ AI wins! Better luck next time!",
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final_reasoning_html
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]
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return
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else:
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# AI made a valid move but didn't win
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game.current_player = 1
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yield [render_board(game.board), "Your turn!", final_reasoning_html]
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return
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# If we get here, something went wrong with the AI move
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game.game_over = True
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yield [
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render_board(game.board),
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"AI made an invalid move! You win by default!",
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'<div id="ai-reasoning">AI made an invalid move or provided an invalid response!</div>'
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]
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# Return the streaming generator
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return stream_response()
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def reset_game():
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game.board = np.zeros((6, 7))
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