app.py

import gradio as gr
import torch
from safetensors.torch import save_file
import os
import tempfile

def convert_ckpt_to_safetensors(ckpt_file):
    if not ckpt_file.name.endswith('.ckpt'):
        return None
    
    try:
        # Load the checkpoint
        ckpt = torch.load(ckpt_file.name, map_location="cpu")
        
        # Extract the state dict
        if "state_dict" in ckpt:
            state_dict = ckpt["state_dict"]
        else:
            state_dict = ckpt
        
        # Create a temporary file for the safetensors output
        with tempfile.NamedTemporaryFile(delete=False, suffix=".safetensors") as temp_file:
            output_file = temp_file.name
        
        # Save as safetensors
        save_file(state_dict, output_file)
        
        return output_file
    except Exception as e:
        return None

iface = gr.Interface(
    fn=convert_ckpt_to_safetensors,
    inputs=gr.File(label="Upload .ckpt file"),
    outputs=gr.File(label="Download converted safetensors file"),
    title="CKPT to Safetensors Converter",
    description="Upload a .ckpt file to convert it to the safetensors format. If you enjoy the app, please ❤ it!"
)

iface.launch()