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import gradio as gr
import huggingface_hub
huggingface_hub.snapshot_download(
repo_id='h94/IP-Adapter',
allow_patterns=[
'models/**',
'sdxl_models/**',
],
local_dir='./',
local_dir_use_symlinks=False,
)
import os
# specify the directory path
dir_path = 'sdxl_models'
# list all files in the directory
files = os.listdir(dir_path)
# print the list of files
print(files)
def infer (text):
return text
gr.Interface(fn=infer, inputs=[gr.Textbox()], outputs=[gr.Textbox()]).launch() |