update gradio UI

Signed-off-by: Samhita Alla <[email protected]>

app.py

@@ -10,6 +10,7 @@ from typing import Dict, Tuple, Union
 
 import banana_dev as banana
 import geopy.distance
+import gradio as gr
 import pandas as pd
 import plotly
 import plotly.express as px
@@ -18,13 +19,11 @@ import plotly.express as px
 from dotenv import load_dotenv
 from smart_open import open as smartopen
 
-import gradio as gr
-
 sys.path.append("..")
 
 from gantry_callback.gantry_util import GantryImageToTextLogger  # noqa: E402
-from gantry_callback.s3_util import (
-    add_access_policy,  # noqa: E402
+from gantry_callback.s3_util import (  # noqa: E402
+    add_access_policy,
     enable_bucket_versioning,
     get_or_create_bucket,
     get_uri_of,
@@ -250,7 +249,7 @@ def url_gradio(url: str) -> Tuple[str, str, plotly.graph_objects.Figure]:
 with gr.Blocks() as demo:
     gr.Markdown("# GeoLocator")
     gr.Markdown(
-        "### An app that guesses the location of an image 🌌 or a YouTube link 🔗."
+        "### An app that guesses the location of an image 🌌 or a YouTube video link 🔗."
     )
     with gr.Tab("Image"):
         with gr.Row():
@@ -318,5 +317,11 @@ with gr.Blocks() as demo:
     gr.Markdown(
         "Check out the [GitHub repository](https://github.com/samhita-alla/geolocator) that this demo is based off of."
     )
+    gr.Markdown(
+        "#### To understand what subdivision means, refer to the [Geolocation paper](https://openaccess.thecvf.com/content_ECCV_2018/papers/Eric_Muller-Budack_Geolocation_Estimation_of_ECCV_2018_paper.pdf)."
+    )
+    gr.Markdown(
+        "#### TL;DR Fine and Coarse are spatial resolutions and Hierarchy generates predictions at fine scale but incorporates knowledge from coarse and middle partitionings."
+    )
 
 demo.launch()