Upload app.py
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app.py
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import gradio as gr
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import torch
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from huggingface_hub import HfApi, login
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import os
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import sys
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import traceback
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# Force CPU usage if needed
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device = "cuda" if torch.cuda.is_available() else "cpu"
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print(f"Using device: {device}")
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# More details about the environment
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print(f"Gradio version: {gr.__version__}")
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print(f"Python version: {sys.version}")
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# Login to Hugging Face with token
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hf_token = os.getenv("HUGGINGFACE_TOKEN")
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if hf_token:
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login(token=hf_token)
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print("Successfully logged in to Hugging Face Hub")
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else:
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print("Warning: HUGGINGFACE_TOKEN environment variable not set")
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def load_model():
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try:
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print("Attempting to load model from Hugging Face Hub...")
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# Attempt to use HfApi to check if the model exists
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api = HfApi()
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try:
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# Check if model exists
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model_info = api.model_info("goofyai/3d_render_style_xl")
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print(f"Found model: {model_info.modelId}")
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except Exception as e:
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print(f"Error checking model info: {str(e)}")
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# Try a different approach with the newer Gradio API
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try:
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print("Using gr.load() method...")
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interface = gr.load("models/goofyai/3d_render_style_xl")
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return interface
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except Exception as e:
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print(f"Error with gr.load(): {str(e)}")
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print(traceback.format_exc())
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# Try the older Interface.load method as fallback
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print("Trying Interface.load() as fallback...")
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interface = gr.Interface.load("models/goofyai/3d_render_style_xl")
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return interface
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except Exception as e:
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print(f"Error loading model: {str(e)}")
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print(traceback.format_exc())
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return None
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# Create the interface
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try:
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interface = load_model()
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if interface:
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print("Model loaded successfully, launching interface...")
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interface.launch(
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share=False,
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server_name="0.0.0.0",
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server_port=7860,
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show_error=True
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)
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else:
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print("Failed to load the interface")
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except Exception as e:
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print(f"Error launching interface: {str(e)}")
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print(traceback.format_exc())
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