| 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() |
