Update app.py

app.py

@@ -1,10 +1,16 @@
-import gradio as gr
-from souleater-diffusion.ckpt
- import pipeline
+import torch
+import transformers
 
-pipeline = pipeline(task="image-generation", model="souleater-diffusion.ckpt
-")
+# Load the checkpoint file into a PyTorch model
+model = YourModelClass()
+state_dict = torch.load('souleater-diffusion.ckpt')
+model.load_state_dict(state_dict)
 
-gr.Interface(
-    title="souleater-diffusion",
-).launch()
+# Save the model architecture and weights to a file
+torch.save(model.state_dict(), 'souleater-diffusion.pth')
+
+# Register the model with Hugging Face
+model_name = "DeadfoxX/souleater-diffusion"
+model_id = transformers.Model.upload(model_name, "souleater-diffusion.pth")
+
+print(f"Model uploaded with ID: {model_id}")