Create app.py

app.py

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+import torch
+from transformers import AutoModel  # ajusta si usas otro framework/modelo
+
+# Define paths to the files
+MODEL_PATH = "/uruguayai/fooocus/juggernautXL_v8Rundiffusion.safetensors"
+INTERPOSER_PATH = "/uruguayai/fooocus/xl-to-v1_interposer-v4.0.safetensors"
+VAE_PATH = "/uruguayai/fooocus/vaeapp_sd15.pt"
+EXPANSION_PATH = "/uruguayai/fooocus/fooocus_expansion.bin"
+
+def load_model():
+    # Example of loading a model; adjust based on your specific setup
+    model = torch.load(MODEL_PATH)
+    # If you have specific loading functions or modules, call them here
+    return model
+
+def main():
+    model = load_model()
+    # Here you can add your inference logic, or serve using Gradio or FastAPI
+    print("Model loaded successfully!")
+
+if __name__ == "__main__":
+    main()