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import gradio as gr
import spaces
import os
import json
import torch
import gc
from datetime import datetime
from pathlib import Path
# Disable torch dynamo globally to avoid ConstantVariable errors
torch._dynamo.config.suppress_errors = True
# Initialize directories
DATA_DIR = Path("/data") if os.path.exists("/data") else Path("./data")
DATA_DIR.mkdir(exist_ok=True)
(DATA_DIR / "users").mkdir(exist_ok=True)
(DATA_DIR / "monsters").mkdir(exist_ok=True)
(DATA_DIR / "models").mkdir(exist_ok=True)
(DATA_DIR / "cache").mkdir(exist_ok=True)
# Ensure Gradio cache directory exists
import tempfile
gradio_cache_dir = Path("/tmp/gradio")
gradio_cache_dir.mkdir(parents=True, exist_ok=True)
# Set environment variable for Gradio cache
os.environ.setdefault("GRADIO_TEMP_DIR", str(gradio_cache_dir))
# Import modules (to be created)
from core.ai_pipeline import MonsterGenerationPipeline
from core.game_mechanics import GameMechanics
from core.state_manager import StateManager
from core.auth_manager import AuthManager
from ui.themes import get_cyberpunk_theme, CYBERPUNK_CSS
from ui.interfaces import create_voice_interface, create_visual_interface
# Initialize with GPU optimization
@spaces.GPU(duration=300)
def initialize_systems():
"""Initialize all core systems with GPU"""
pipeline = MonsterGenerationPipeline()
return pipeline
# Initialize core systems (defer GPU initialization)
pipeline = None
def get_pipeline():
"""Get or initialize the pipeline with GPU support"""
global pipeline
if pipeline is None:
try:
pipeline = initialize_systems()
except Exception as e:
print(f"GPU initialization failed, falling back to CPU: {e}")
pipeline = MonsterGenerationPipeline(device="cpu")
return pipeline
game_mechanics = GameMechanics()
state_manager = StateManager(DATA_DIR)
auth_manager = AuthManager()
# Main generation function
@spaces.GPU(duration=180)
def generate_monster(oauth_profile: gr.OAuthProfile | None, audio_input=None, text_input=None, reference_images=None,
training_focus="balanced", care_level="normal"):
"""Generate a new monster with AI pipeline"""
if oauth_profile is None:
return {
"message": "๐ Please log in to create monsters!",
"image": None,
"model_3d": None,
"stats": None,
"dialogue": None
}
user_id = oauth_profile.username
try:
# Generate monster using AI pipeline
current_pipeline = get_pipeline()
result = current_pipeline.generate_monster(
audio_input=audio_input,
text_input=text_input,
reference_images=reference_images,
user_id=user_id
)
# Create game monster from AI result
monster = game_mechanics.create_monster(result, {
"training_focus": training_focus,
"care_level": care_level
}, user_id)
# Save to persistent storage
state_manager.save_monster(user_id, monster)
# Prepare response
response_dict = {
"message": f"โจ {monster.name} has been created!",
"image": result.get('image'),
"model_3d": result.get('model_3d'),
"stats": monster.get_stats_display(),
"dialogue": result.get('dialogue', "๐ค๐1๏ธโฃ0๏ธโฃ0๏ธโฃ")
}
return (
response_dict["message"],
response_dict["image"],
response_dict["model_3d"],
response_dict["stats"],
response_dict["dialogue"]
)
except Exception as e:
print(f"Error generating monster: {str(e)}")
# Use fallback generation
current_pipeline = get_pipeline()
fallback_result = current_pipeline.fallback_generation(text_input or "friendly digital creature")
fallback_dict = {
"message": "โก Created using quick generation mode",
"image": fallback_result.get('image'),
"model_3d": None,
"stats": fallback_result.get('stats'),
"dialogue": "๐คโ9๏ธโฃ9๏ธโฃ"
}
return (
fallback_dict["message"],
fallback_dict["image"],
fallback_dict["model_3d"],
fallback_dict["stats"],
fallback_dict["dialogue"]
)
# Training function
def train_monster(oauth_profile: gr.OAuthProfile | None, training_type, intensity):
"""Train the active monster"""
if oauth_profile is None:
return "๐ Please log in to train monsters!", None, None
user_id = oauth_profile.username
current_monster = state_manager.get_current_monster(user_id)
if not current_monster:
return "โ No active monster to train!", None, None
# Apply training
result = game_mechanics.train_monster(current_monster, training_type, intensity)
if result['success']:
state_manager.update_monster(user_id, current_monster)
return (
result['message'],
current_monster.get_stats_display(),
result.get('evolution_check')
)
else:
return result['message'], None, None
# Care functions
def feed_monster(oauth_profile: gr.OAuthProfile | None, food_type):
"""Feed the active monster"""
if oauth_profile is None:
return "๐ Please log in to care for monsters!"
user_id = oauth_profile.username
current_monster = state_manager.get_current_monster(user_id)
if not current_monster:
return "โ No active monster to feed!"
result = game_mechanics.feed_monster(current_monster, food_type)
state_manager.update_monster(user_id, current_monster)
return result['message']
# Build the Gradio interface
with gr.Blocks(
theme=get_cyberpunk_theme(),
css=CYBERPUNK_CSS,
title="DigiPal - Digital Monster Companion"
) as demo:
# Header with cyberpunk styling
gr.HTML("""
<div class="cyber-header">
<h1 class="glitch-text">๐ค DigiPal ๐ค</h1>
<p class="cyber-subtitle">Your AI-Powered Digital Monster Companion</p>
<div class="pulse-line"></div>
</div>
""")
# Authentication
with gr.Row():
login_btn = gr.LoginButton("๐ Connect to Digital World", size="lg")
user_display = gr.Markdown("", elem_classes=["user-status"])
# Main interface tabs
with gr.Tabs(elem_classes=["cyber-tabs"]):
# Monster Creation Tab
with gr.TabItem("๐งฌ Create Monster", elem_classes=["cyber-tab-content"]):
with gr.Row():
# Input Column
with gr.Column(scale=1):
gr.Markdown("### ๐๏ธ Voice Input")
audio_input = gr.Audio(
label="Describe your monster",
sources=["microphone", "upload"],
type="filepath",
elem_classes=["cyber-input"]
)
gr.Markdown("### ๐ฌ Text Input")
text_input = gr.Textbox(
label="Or type a description",
placeholder="Describe your ideal digital monster...",
lines=3,
elem_classes=["cyber-input"]
)
gr.Markdown("### ๐ผ๏ธ Reference Images")
reference_images = gr.File(
label="Upload reference images (optional)",
file_count="multiple",
file_types=["image"],
elem_classes=["cyber-input"]
)
with gr.Row():
training_focus = gr.Radio(
choices=["balanced", "strength", "defense", "speed", "intelligence"],
label="Training Focus",
value="balanced",
elem_classes=["cyber-radio"]
)
generate_btn = gr.Button(
"โก Generate Monster",
variant="primary",
size="lg",
elem_classes=["cyber-button", "generate-button"]
)
# Output Column
with gr.Column(scale=1):
generation_message = gr.Markdown("", elem_classes=["cyber-message"])
monster_image = gr.Image(
label="Monster Appearance",
type="pil",
elem_classes=["monster-display"]
)
monster_model = gr.Model3D(
label="3D Model",
height=400,
elem_classes=["monster-display"]
)
monster_dialogue = gr.Textbox(
label="Monster Says",
interactive=False,
elem_classes=["cyber-dialogue"]
)
monster_stats = gr.JSON(
label="Stats",
elem_classes=["cyber-stats"]
)
# Monster Status Tab
with gr.TabItem("๐ Monster Status", elem_classes=["cyber-tab-content"]):
with gr.Row():
with gr.Column():
current_monster_display = gr.Model3D(
label="Your Digital Monster",
height=400,
elem_classes=["monster-display"]
)
monster_communication = gr.Textbox(
label="Monster Communication",
placeholder="Your monster speaks in emojis and numbers...",
interactive=False,
elem_classes=["cyber-dialogue"]
)
with gr.Column():
stats_display = gr.JSON(
label="Current Stats",
elem_classes=["cyber-stats"]
)
care_metrics = gr.JSON(
label="Care Status",
elem_classes=["cyber-stats"]
)
evolution_progress = gr.HTML(
elem_classes=["evolution-display"]
)
refresh_btn = gr.Button(
"๐ Refresh Status",
elem_classes=["cyber-button"]
)
# Training Tab
with gr.TabItem("๐ช Training", elem_classes=["cyber-tab-content"]):
with gr.Row():
with gr.Column():
training_type = gr.Radio(
choices=["Strength", "Defense", "Speed", "Intelligence", "Special"],
label="Training Type",
value="Strength",
elem_classes=["cyber-radio"]
)
training_intensity = gr.Slider(
minimum=1,
maximum=10,
value=5,
step=1,
label="Training Intensity",
elem_classes=["cyber-slider"]
)
train_btn = gr.Button(
"๐๏ธ Start Training",
variant="primary",
elem_classes=["cyber-button"]
)
with gr.Column():
training_result = gr.Textbox(
label="Training Result",
interactive=False,
elem_classes=["cyber-output"]
)
updated_stats = gr.JSON(
label="Updated Stats",
elem_classes=["cyber-stats"]
)
evolution_check = gr.HTML(
elem_classes=["evolution-display"]
)
# Care Tab
with gr.TabItem("โค๏ธ Care", elem_classes=["cyber-tab-content"]):
with gr.Row():
with gr.Column():
gr.Markdown("### ๐ Feeding")
food_type = gr.Radio(
choices=["Meat", "Fish", "Vegetable", "Treat", "Medicine"],
label="Select Food",
value="Meat",
elem_classes=["cyber-radio"]
)
feed_btn = gr.Button(
"๐ฝ๏ธ Feed Monster",
elem_classes=["cyber-button"]
)
feeding_result = gr.Textbox(
label="Feeding Result",
interactive=False,
elem_classes=["cyber-output"]
)
with gr.Column():
gr.Markdown("### ๐ฎ Interaction")
play_btn = gr.Button(
"๐พ Play",
elem_classes=["cyber-button"]
)
praise_btn = gr.Button(
"๐ Praise",
elem_classes=["cyber-button"]
)
scold_btn = gr.Button(
"๐ Scold",
elem_classes=["cyber-button"]
)
interaction_result = gr.Textbox(
label="Monster Response",
interactive=False,
elem_classes=["cyber-output"]
)
# Event handlers
generate_btn.click(
fn=generate_monster,
inputs=[
audio_input,
text_input,
reference_images,
training_focus,
gr.State("normal") # care_level
],
outputs=[
generation_message,
monster_image,
monster_model,
monster_stats,
monster_dialogue
]
)
train_btn.click(
fn=train_monster,
inputs=[
training_type,
training_intensity
],
outputs=[
training_result,
updated_stats,
evolution_check
]
)
feed_btn.click(
fn=feed_monster,
inputs=[
food_type
],
outputs=[feeding_result]
)
# Launch the app
if __name__ == "__main__":
# Suppress MCP warnings if needed
import warnings
warnings.filterwarnings("ignore", category=UserWarning, module="gradio.mcp")
demo.queue(
default_concurrency_limit=10,
max_size=100
).launch(
server_name="0.0.0.0",
server_port=7860,
show_api=False,
show_error=True
) |