import gradio as gr
import huggingface_hub

huggingface_hub.snapshot_download(
    repo_id='h94/IP-Adapter',
    allow_patterns=[
        'models/**',
    ],
    local_dir='models',
    local_dir_use_symlinks=False,
)

import os

# specify the directory path
dir_path = '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()