import gradio as gr
from datasets import load_dataset
import huggingface_hub as hh
from huggingface_hub import HfApi
from huggingface_hub import HfFileSystem
import os

repo_id = os.environ['repo_id']

hh.login(token=os.environ['token'])

api = HfApi()
file_list = api.list_repo_files(repo_id=repo_id, repo_type="space")

print(file_list)

fs = HfFileSystem()
with fs.open(f"spaces/{repo_id}/info/副脾_症状.txt") as f:
    data = f.read().decode()
print(data)

def greet(name):
    return "Hello " + name + "!!"

iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()