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Update app.py
Browse files
app.py
CHANGED
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@@ -4,12 +4,11 @@ from llama_cpp import Llama
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from huggingface_hub import hf_hub_download
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import numpy as np
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from typing import List
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import time
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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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@@ -48,9 +47,9 @@ def extract_xml_move(text: str) -> str:
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return match.group(1)
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return ""
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def
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"""
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"""
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import re
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match = re.search(r'<reasoning>(.*?)</reasoning>', text, re.DOTALL)
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@@ -302,9 +301,7 @@ def create_interface():
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margin: 15px 0;
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font-family: monospace;
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min-height: 100px;
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overflow-y: auto;
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white-space: pre-wrap;
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}
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.reasoning-box {
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border-left: 4px solid #2196F3;
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margin: 10px 0;
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background: #22004d;
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border-radius: 0 10px 10px 0;
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}
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#column-buttons {
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display: flex;
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@@ -328,8 +326,12 @@ def create_interface():
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display: block;
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}
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.thinking-indicator {
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}
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"""
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info="Lower values make AI more deterministic, higher values more creative"
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)
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def
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if game.game_over:
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return [
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render_board(game.board),
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@@ -402,49 +404,17 @@ def create_interface():
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# Use the new game state formatting
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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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reasoning_html = ''
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<div class="reasoning-box">
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<p><strong>🤔 Reasoning:</strong></p>
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<p class="thinking-indicator">AI is thinking...</p>
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</div>
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</div>
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'''
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render_board(game.board),
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"AI is thinking...",
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reasoning_html
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]
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def process_ai_response(temperature=0.8):
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if game.game_over or game.current_player != 2:
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return [
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render_board(game.board),
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"Your turn!" if not game.game_over else "Game is over! Click New Game to play again.",
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reasoning_display.value
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]
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game_state = game.format_game_state()
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# Start streaming response
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full_response = ""
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move_str = ""
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#
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<div id="ai-reasoning">
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<div class="reasoning-box">
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<p><strong>🤔 Reasoning:</strong></p>
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<p>
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'''
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# Create streaming session
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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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@@ -452,97 +422,93 @@ def create_interface():
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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
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collected_text = ""
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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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if
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if
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#
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current_html += f'<p><strong>📍 Move chosen:</strong> Column {move_str.upper()}</p>'
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current_html += '</div></div>'
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yield [
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render_board(game.board),
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"AI is making a move...",
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current_html
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]
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#
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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
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game.
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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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def reset_game():
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game.board = np.zeros((6, 7))
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# Event handlers
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for i, btn in enumerate(col_buttons):
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# First handle player move
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btn.click(
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fn=
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inputs=[
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gr.Number(value=i, visible=False),
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temperature_slider
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],
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outputs=[board_display, status, reasoning_display]
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#queue=False # Process player move immediately
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).then( # Then process AI response with streaming
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fn=process_ai_response,
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inputs=[temperature_slider],
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outputs=[board_display, status, reasoning_display],
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#streaming=True # Enable streaming for AI response
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)
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reset_btn.click(
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from huggingface_hub import hf_hub_download
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import numpy as np
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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"), #"Lyte/QuadConnect2.5-0.5B-v0.0.9b"),#"Lyte/QuadConnect2.5-0.5B-v0.0.8b"), #"Lyte/QuadConnect2.5-0.5B-v0.0.6b"), #"Lyte/QuadConnect-Llama-1B-v0.0.7b"),#"
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filename=os.environ.get("MODEL_FILE", "unsloth.Q8_0.gguf"), #"quadconnect.Q8_0.gguf"),
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),
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n_ctx=16384
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)
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return match.group(1)
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return ""
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def extract_xml_reasoning(text: str) -> str:
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"""
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Extracts the reasoning section from the XML format.
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"""
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import re
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match = re.search(r'<reasoning>(.*?)</reasoning>', text, re.DOTALL)
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margin: 15px 0;
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font-family: monospace;
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min-height: 100px;
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color: white;
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}
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.reasoning-box {
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border-left: 4px solid #2196F3;
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margin: 10px 0;
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background: #22004d;
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border-radius: 0 10px 10px 0;
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color: white;
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}
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#column-buttons {
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display: flex;
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display: block;
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}
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.thinking-indicator {
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color: #ffc107;
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font-style: italic;
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}
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.move-highlight {
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font-weight: bold;
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color: #4CAF50;
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}
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"""
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info="Lower values make AI more deterministic, higher values more creative"
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)
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def handle_move(col, temperature=0.8):
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if game.game_over:
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return [
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render_board(game.board),
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# Use the new game state formatting
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game_state = game.format_game_state()
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# Initialize the reasoning display with a "thinking" message
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reasoning_html = '<div id="ai-reasoning"><p class="thinking-indicator">Thinking...</p></div>'
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yield [render_board(game.board), "AI is thinking...", reasoning_html]
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# Prepare to stream AI's response
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full_response = ""
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current_reasoning = ""
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# Get AI response with streaming
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for chunk in 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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temperature=temperature,
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top_p=0.95,
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max_tokens=1024,
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stream=True # Enable streaming!
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):
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if 'choices' in chunk and len(chunk['choices']) > 0:
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content = chunk['choices'][0].get('delta', {}).get('content', '')
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if content:
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full_response += content
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# Try to extract current reasoning for display
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try:
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# Update the displayed reasoning as it comes in
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current_reasoning = extract_xml_reasoning(full_response)
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if current_reasoning:
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# Format reasoning for display
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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>🤔 Reasoning:</strong></p>
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<p>{current_reasoning}</p>
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<p class="thinking-indicator">Deciding on next move...</p>
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</div>
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</div>
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'''
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yield [render_board(game.board), "AI is thinking...", reasoning_html]
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except:
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# If we can't extract reasoning yet, just show what we have
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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>🤔 Reasoning:</strong></p>
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<p class="thinking-indicator">Analyzing the board...</p>
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</div>
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</div>
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'''
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yield [render_board(game.board), "AI is thinking...", reasoning_html]
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# Process the complete response
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try:
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reasoning = extract_xml_reasoning(full_response)
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move_str = extract_xml_move(full_response)
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if not move_str:
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raise ValueError("Invalid move format from AI")
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ai_col = game.parse_ai_move(move_str)
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if ai_col == -1:
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raise ValueError("Invalid move format from AI")
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# Format final reasoning with move for display
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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>🤔 Reasoning:</strong></p>
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<p>{reasoning}</p>
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<p><strong>📍 Move chosen:</strong> <span class="move-highlight">Column {move_str.upper()}</span></p>
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</div>
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</div>
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'''
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# Make the AI's move
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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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return [
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render_board(game.board),
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"🤖 AI wins! Better luck next time!",
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reasoning_html
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]
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else:
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return [
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render_board(game.board),
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"AI made invalid move! You win by default!",
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'<div id="ai-reasoning">AI made an invalid move!</div>'
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]
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except Exception as e:
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game.game_over = True
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return [
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render_board(game.board),
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"AI error occurred! You win by default!",
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f'<div id="ai-reasoning">Error: {str(e)}</div>'
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]
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game.current_player = 1
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return [render_board(game.board), "Your turn!", reasoning_html]
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def reset_game():
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game.board = np.zeros((6, 7))
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# Event handlers
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for i, btn in enumerate(col_buttons):
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btn.click(
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fn=handle_move,
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inputs=[
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gr.Number(value=i, visible=False),
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temperature_slider
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],
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outputs=[board_display, status, reasoning_display]
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reset_btn.click(
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