dnm3d / app.py
geyik1's picture
Upload app.py
21504cf verified
raw
history blame
4.54 kB
import gradio as gr
import torch
import os
import sys
from huggingface_hub import login
# Force CPU usage if needed
device = "cuda" if torch.cuda.is_available() else "cpu"
print(f"Using device: {device}")
# More details about the environment
print(f"Gradio version: {gr.__version__}")
print(f"Python version: {sys.version}")
# Hugging Face API token'ı - önce environment variable olarak ara,
# sonra Hugging Face Secrets sisteminde ara
hf_token = os.environ.get("HUGGINGFACE_TOKEN")
if hf_token:
print("Found HUGGINGFACE_TOKEN in environment variables")
# Token ile giriş yap
login(token=hf_token)
print("Logged in with Hugging Face token")
else:
print("HUGGINGFACE_TOKEN not found in environment variables")
def generate_3d_icon(prompt):
try:
print(f"Generating 3D icon with prompt: {prompt}")
# Try different methods to load the actual model
try:
print("Trying to load goofyai/3d_render_style_xl...")
# Method 1: Direct model loading
model = gr.load("goofyai/3d_render_style_xl", src="models")
result = model(prompt)
print("Model loaded and generated successfully")
return result
except Exception as e1:
print(f"Method 1 failed: {str(e1)}")
try:
# Method 2: Try spaces source
print("Trying spaces source...")
model = gr.load("goofyai/3d_render_style_xl", src="spaces")
result = model(prompt)
print("Spaces model loaded successfully")
return result
except Exception as e2:
print(f"Method 2 failed: {str(e2)}")
try:
# Method 3: Try huggingface source
print("Trying huggingface source...")
model = gr.load("goofyai/3d_render_style_xl", src="huggingface")
result = model(prompt)
print("HuggingFace model loaded successfully")
return result
except Exception as e3:
print(f"Method 3 failed: {str(e3)}")
try:
# Method 4: Try with Interface.load
print("Trying Interface.load...")
model = gr.Interface.load("models/goofyai/3d_render_style_xl")
result = model(prompt)
print("Interface.load successful")
return result
except Exception as e4:
print(f"Method 4 failed: {str(e4)}")
# Final fallback - create error message
from PIL import Image, ImageDraw, ImageFont
image = Image.new('RGB', (512, 512), color='red')
draw = ImageDraw.Draw(image)
error_text = "Model loading failed"
draw.text((200, 250), error_text, fill=(255, 255, 255))
print("All methods failed, returning error image")
return image
except Exception as e:
print(f"General error: {str(e)}")
# Return error image
from PIL import Image, ImageDraw
image = Image.new('RGB', (512, 512), color='gray')
draw = ImageDraw.Draw(image)
draw.text((200, 250), "Error", fill=(255, 0, 0))
return image
# Create Gradio interface
def create_interface():
interface = gr.Interface(
fn=generate_3d_icon,
inputs=[
gr.Textbox(label="Prompt", placeholder="Describe your game icon", value="galatasaray")
],
outputs=gr.Image(type="pil", label="Generated Game Icon"),
title="3D Game Icon Generator",
description="Generate 3D-style game icons using AI"
)
return interface
# Launch the interface
if __name__ == "__main__":
try:
interface = create_interface()
print("Launching interface...")
interface.launch(
share=False,
server_name="0.0.0.0",
server_port=7860,
show_error=True
)
except Exception as e:
print(f"Error launching interface: {str(e)}")