app.py

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

def convert_ckpt_to_safetensors(input_path, output_path):
 # Load the .ckpt file
 state_dict = torch.load(input_path, map_location='cpu')
 # Save as .safetensors
 save_file(state_dict, output_path)

def process(url, uploaded_file):
 if url:
 # Download the .ckpt file
 local_filename = 'model.ckpt'
 with requests.get(url, stream=True) as r:
 r.raise_for_status()
 with open(local_filename, 'wb') as f:
 for chunk in r.iter_content(chunk_size=8192):
 f.write(chunk)
 elif uploaded_file is not None:
 # Save uploaded file
 local_filename = uploaded_file.name
 with open(local_filename, 'wb') as f:
 f.write(uploaded_file.read())
 else:
 return "Please provide a URL or upload a .ckpt file."

 output_filename = local_filename.replace('.ckpt', '.safetensors')
 # Convert the .ckpt to .safetensors
 convert_ckpt_to_safetensors(local_filename, output_filename)

 # Clean up the input file
 os.remove(local_filename)

 return output_filename

iface = gr.Interface(
 fn=process,
 inputs=[
 gr.Textbox(label="URL of .ckpt file", placeholder="Enter the URL here"),
 gr.File(label="Or upload a .ckpt file", file_types=['.ckpt'])
 ],
 outputs=gr.File(label="Converted .safetensors file"),
 title="CKPT to SafeTensors Converter",
 description="Convert .ckpt files to .safetensors format. Provide a URL or upload your .ckpt file."
)

iface.launch()