Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,40 +1,7 @@
|
|
| 1 |
-
import sys
|
| 2 |
-
from types import ModuleType
|
| 3 |
-
import os
|
| 4 |
-
|
| 5 |
-
# ==========================================
|
| 6 |
-
# 🛡️ ZONE DE PATCH (NE PAS TOUCHER)
|
| 7 |
-
# ==========================================
|
| 8 |
import gradio as gr
|
| 9 |
-
from gradio.components.base import Component
|
| 10 |
-
|
| 11 |
-
# 1. Patch i18n (Le module manquant)
|
| 12 |
-
if not hasattr(gr, "i18n"):
|
| 13 |
-
mock_i18n = ModuleType("gradio.i18n")
|
| 14 |
-
mock_i18n.I18nData = str
|
| 15 |
-
sys.modules["gradio.i18n"] = mock_i18n
|
| 16 |
-
gr.i18n = mock_i18n
|
| 17 |
-
|
| 18 |
-
# 2. Patch Component.__init__ (L'argument inconnu)
|
| 19 |
-
# On sauvegarde l'initialisation originale de Gradio
|
| 20 |
-
original_init = Component.__init__
|
| 21 |
-
|
| 22 |
-
def patched_init(self, *args, **kwargs):
|
| 23 |
-
# Si on trouve l'argument fautif 'preserved_by_key', on le retire (pop)
|
| 24 |
-
# avant de passer la main au vrai Gradio.
|
| 25 |
-
kwargs.pop("preserved_by_key", None)
|
| 26 |
-
original_init(self, *args, **kwargs)
|
| 27 |
-
|
| 28 |
-
# On remplace l'init officiel par notre version tolérante
|
| 29 |
-
Component.__init__ = patched_init
|
| 30 |
-
print("✅ Patchs de compatibilité appliqués avec succès.")
|
| 31 |
-
|
| 32 |
-
# ==========================================
|
| 33 |
-
# ♟️ DÉBUT DE L'APPLICATION
|
| 34 |
-
# ==========================================
|
| 35 |
-
|
| 36 |
from gradio_chessboard import Chessboard
|
| 37 |
import chess
|
|
|
|
| 38 |
from openai import OpenAI
|
| 39 |
from elevenlabs.client import ElevenLabs
|
| 40 |
from chess_tools import analyze_position
|
|
@@ -50,14 +17,13 @@ eleven_client = ElevenLabs(api_key=ELEVEN_API_KEY) if ELEVEN_API_KEY else None
|
|
| 50 |
SYSTEM_PROMPT = """
|
| 51 |
Tu es Garry, un Grand Maître d'échecs légendaire.
|
| 52 |
Tu commentes la partie en direct pour un débutant.
|
| 53 |
-
1.
|
| 54 |
-
2. Si
|
| 55 |
-
3. Si
|
| 56 |
-
4.
|
| 57 |
"""
|
| 58 |
|
| 59 |
def generate_voice(text):
|
| 60 |
-
"""Génère l'audio via ElevenLabs"""
|
| 61 |
if not eleven_client or not text: return None
|
| 62 |
try:
|
| 63 |
audio_stream = eleven_client.generate(
|
|
@@ -71,65 +37,54 @@ def generate_voice(text):
|
|
| 71 |
f.write(chunk)
|
| 72 |
return path
|
| 73 |
except Exception as e:
|
| 74 |
-
print(f"
|
| 75 |
return None
|
| 76 |
|
| 77 |
def process_move(fen):
|
| 78 |
-
"""Cerveau de l'agent"""
|
| 79 |
if not fen: return "", None
|
| 80 |
|
| 81 |
-
# 1. Analyse
|
| 82 |
analysis = analyze_position(fen)
|
| 83 |
|
| 84 |
-
# 2.
|
| 85 |
-
commentary = "
|
| 86 |
if openai_client:
|
| 87 |
try:
|
| 88 |
response = openai_client.chat.completions.create(
|
| 89 |
model="gpt-4o-mini",
|
| 90 |
messages=[
|
| 91 |
{"role": "system", "content": SYSTEM_PROMPT},
|
| 92 |
-
{"role": "user", "content": f"Analyse
|
| 93 |
]
|
| 94 |
)
|
| 95 |
commentary = response.choices[0].message.content
|
| 96 |
except Exception as e:
|
| 97 |
commentary = f"Erreur IA: {e}"
|
| 98 |
else:
|
| 99 |
-
commentary = "
|
| 100 |
|
| 101 |
-
# 3.
|
| 102 |
audio_path = generate_voice(commentary)
|
| 103 |
-
|
| 104 |
return commentary, audio_path
|
| 105 |
|
| 106 |
-
# --- Interface
|
|
|
|
| 107 |
with gr.Blocks(title="ChessCoach AI") as demo:
|
| 108 |
-
gr.Markdown(
|
| 109 |
-
"""
|
| 110 |
-
# ♟️ ChessCoach AI
|
| 111 |
-
### Votre Grand Maître Personnel (Powered by MCP)
|
| 112 |
-
Jouez les Blancs. L'IA analyse votre position et vous coache vocalement.
|
| 113 |
-
"""
|
| 114 |
-
)
|
| 115 |
|
| 116 |
with gr.Row():
|
| 117 |
-
with gr.Column(
|
| 118 |
board = Chessboard(
|
| 119 |
label="Plateau",
|
| 120 |
value=chess.STARTING_FEN,
|
| 121 |
game_mode=True,
|
| 122 |
-
interactive=True
|
| 123 |
-
elem_id="chessboard"
|
| 124 |
)
|
| 125 |
|
| 126 |
-
with gr.Column(
|
| 127 |
-
gr.
|
| 128 |
-
coach_output = gr.Textbox(label="Analyse", interactive=False, lines=3)
|
| 129 |
audio_output = gr.Audio(label="Voix", autoplay=True, interactive=False)
|
| 130 |
-
|
| 131 |
-
with gr.Accordion("🔍 Données MCP", open=False):
|
| 132 |
-
debug_json = gr.JSON(label="État Technique")
|
| 133 |
|
| 134 |
def game_loop(fen):
|
| 135 |
text, audio = process_move(fen)
|
|
@@ -138,5 +93,7 @@ with gr.Blocks(title="ChessCoach AI") as demo:
|
|
| 138 |
|
| 139 |
board.move(fn=game_loop, inputs=[board], outputs=[coach_output, audio_output, debug_json])
|
| 140 |
|
|
|
|
|
|
|
| 141 |
if __name__ == "__main__":
|
| 142 |
-
demo.launch()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
import gradio as gr
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
from gradio_chessboard import Chessboard
|
| 3 |
import chess
|
| 4 |
+
import os
|
| 5 |
from openai import OpenAI
|
| 6 |
from elevenlabs.client import ElevenLabs
|
| 7 |
from chess_tools import analyze_position
|
|
|
|
| 17 |
SYSTEM_PROMPT = """
|
| 18 |
Tu es Garry, un Grand Maître d'échecs légendaire.
|
| 19 |
Tu commentes la partie en direct pour un débutant.
|
| 20 |
+
1. Reçois l'analyse JSON.
|
| 21 |
+
2. Si erreur grave (Matériel/Echec), sois critique et drôle.
|
| 22 |
+
3. Si bon coup, sois bref et approbateur.
|
| 23 |
+
4. MAXIMUM 2 phrases courtes.
|
| 24 |
"""
|
| 25 |
|
| 26 |
def generate_voice(text):
|
|
|
|
| 27 |
if not eleven_client or not text: return None
|
| 28 |
try:
|
| 29 |
audio_stream = eleven_client.generate(
|
|
|
|
| 37 |
f.write(chunk)
|
| 38 |
return path
|
| 39 |
except Exception as e:
|
| 40 |
+
print(f"ElevenLabs Error: {e}")
|
| 41 |
return None
|
| 42 |
|
| 43 |
def process_move(fen):
|
|
|
|
| 44 |
if not fen: return "", None
|
| 45 |
|
| 46 |
+
# 1. Analyse (MCP)
|
| 47 |
analysis = analyze_position(fen)
|
| 48 |
|
| 49 |
+
# 2. LLM
|
| 50 |
+
commentary = "..."
|
| 51 |
if openai_client:
|
| 52 |
try:
|
| 53 |
response = openai_client.chat.completions.create(
|
| 54 |
model="gpt-4o-mini",
|
| 55 |
messages=[
|
| 56 |
{"role": "system", "content": SYSTEM_PROMPT},
|
| 57 |
+
{"role": "user", "content": f"Analyse: {str(analysis)}"}
|
| 58 |
]
|
| 59 |
)
|
| 60 |
commentary = response.choices[0].message.content
|
| 61 |
except Exception as e:
|
| 62 |
commentary = f"Erreur IA: {e}"
|
| 63 |
else:
|
| 64 |
+
commentary = "Clés API manquantes."
|
| 65 |
|
| 66 |
+
# 3. Audio
|
| 67 |
audio_path = generate_voice(commentary)
|
|
|
|
| 68 |
return commentary, audio_path
|
| 69 |
|
| 70 |
+
# --- Interface ---
|
| 71 |
+
# Pas de paramètre 'theme' pour éviter les conflits, on reste simple.
|
| 72 |
with gr.Blocks(title="ChessCoach AI") as demo:
|
| 73 |
+
gr.Markdown("# ♟️ ChessCoach AI (MCP Agent)")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 74 |
|
| 75 |
with gr.Row():
|
| 76 |
+
with gr.Column():
|
| 77 |
board = Chessboard(
|
| 78 |
label="Plateau",
|
| 79 |
value=chess.STARTING_FEN,
|
| 80 |
game_mode=True,
|
| 81 |
+
interactive=True
|
|
|
|
| 82 |
)
|
| 83 |
|
| 84 |
+
with gr.Column():
|
| 85 |
+
coach_output = gr.Textbox(label="Coach Garry", interactive=False)
|
|
|
|
| 86 |
audio_output = gr.Audio(label="Voix", autoplay=True, interactive=False)
|
| 87 |
+
debug_json = gr.JSON(label="Données MCP")
|
|
|
|
|
|
|
| 88 |
|
| 89 |
def game_loop(fen):
|
| 90 |
text, audio = process_move(fen)
|
|
|
|
| 93 |
|
| 94 |
board.move(fn=game_loop, inputs=[board], outputs=[coach_output, audio_output, debug_json])
|
| 95 |
|
| 96 |
+
# --- LA LIGNE CRUCIALE ---
|
| 97 |
+
# ssr_mode=False est OBLIGATOIRE pour gradio_chessboard sur Gradio 5
|
| 98 |
if __name__ == "__main__":
|
| 99 |
+
demo.launch(ssr_mode=False)
|