Update

app.py

@@ -21,6 +21,43 @@ USE_PUBLIC_REPO = os.getenv('USE_PUBLIC_REPO') == '1'
 LOCAL_SAVE_DIR = pathlib.Path(os.getenv('LOCAL_SAVE_DIR', 'results'))
 LOCAL_SAVE_DIR.mkdir(parents=True, exist_ok=True)
 
+ABOUT_THIS_SPACE = '''
+This Space is a sample Space that collects user preferences for the results generated by a diffusion model.
+This demo calls the [stable diffusion Space](https://huggingface.co/spaces/stabilityai/stable-diffusion) with the [`gradio_client`](https://pypi.org/project/gradio-client/) library.
+
+The user preference data is periodically zipped and uploaded to [this dataset repo](https://huggingface.co/datasets/hysts-samples/sample-user-preferences).
+The directory structure of the zipped data is as follows:
+```
+results
+├── 11e11b01-3388-48b3-a2ab-1b58d156e466
+│   ├── 000.jpg
+│   ├── 001.jpg
+│   ├── 002.jpg
+│   ├── 003.jpg
+│   └── preferences.json
+├── 1470ec1d-67a1-47ae-ab9c-4e0e0594dadf
+│   ├── 000.jpg
+│   ├── 001.jpg
+│   ├── 002.jpg
+│   ├── 003.jpg
+│   └── preferences.json
+...
+```
+Also, each `preferences.json` looks like this:
+```
+{
+  "prompt": "an astronaut riding a horse",
+  "negative_prompt": "",
+  "guidance_scale": 9,
+  "selected_index": 2,
+  "timestamp": "2023-06-15T07:57:00.097883"
+}
+```
+
+The periodic upload is done using [`huggingface_hub.CommitScheduler`](https://huggingface.co/docs/huggingface_hub/main/en/package_reference/hf_api#huggingface_hub.CommitScheduler).
+See [this Space](https://huggingface.co/spaces/Wauplin/space_to_dataset_saver) for more general usage.
+'''
+
 scheduler = ZipScheduler(repo_id=UPLOAD_REPO_ID,
                          repo_type='dataset',
                          every=UPLOAD_FREQUENCY,
@@ -100,43 +137,7 @@ with gr.Blocks(css='style.css') as demo:
     save_preference_button = gr.Button('Save preference', interactive=False)
 
     with gr.Accordion(label='About this Space', open=False):
-        gr.Markdown('''
-This Space is a sample Space that collects user preferences for the results generated by a diffusion model.
-This demo calls the [stable diffusion Space](https://huggingface.co/spaces/stabilityai/stable-diffusion) with the [`gradio_client`](https://pypi.org/project/gradio-client/) library.
-
-The user preference data is periodically zipped and uploaded to [this dataset repo](https://huggingface.co/datasets/hysts-samples/sample-user-preferences).
-The directory structure of the zipped data is as follows:
-```
-results
-├── 11e11b01-3388-48b3-a2ab-1b58d156e466
-│   ├── 000.jpg
-│   ├── 001.jpg
-│   ├── 002.jpg
-│   ├── 003.jpg
-│   └── preferences.json
-├── 1470ec1d-67a1-47ae-ab9c-4e0e0594dadf
-│   ├── 000.jpg
-│   ├── 001.jpg
-│   ├── 002.jpg
-│   ├── 003.jpg
-│   └── preferences.json
-...
-```
-Also, each `preferences.json` looks like this:
-```
-{
-  "prompt": "an astronaut riding a horse",
-  "negative_prompt": "",
-  "guidance_scale": 9,
-  "selected_index": 2,
-  "timestamp": "2023-06-15T07:57:00.097883"
-}
-```
-
-
-The periodic upload is done using [`huggingface_hub.CommitScheduler`](https://huggingface.co/docs/huggingface_hub/main/en/package_reference/hf_api#huggingface_hub.CommitScheduler).
-See [this Space](https://huggingface.co/spaces/Wauplin/space_to_dataset_saver) for more general usage.
-''')
+        gr.Markdown(ABOUT_THIS_SPACE)
 
     prompt.submit(
         fn=generate,