Update app.py

app.py

@@ -5,7 +5,6 @@ import torch
 import random
 import numpy as np
 import pandas as pd
-# tabulate in dependencies
 
 
 
@@ -29,9 +28,7 @@ def get_predictions(image):
 data = load_dataset("marcelomoreno26/geoguessr",split="test")
 model_name = "marcelomoreno26/vit-base-patch-16-384-geoguessr"
 
-# Initialize the feature extractor
 processor = ViTImageProcessor.from_pretrained(model_name)
-# Initialize the model
 model = ViTForImageClassification.from_pretrained(model_name)
 
 
@@ -116,8 +113,8 @@ with gr.Blocks() as demo:
 
     gr.Markdown("# GeoGuessr - Can You Beat the AI?")
     gr.Markdown("Try to guess the country in the image. Can you beat the AI?")
-    gr.Markdown("### Instructions:\n1. First to Start playing press **Get New Image** at the bottom (the server needs to refresh from the cache and previous user)")
-    gr.Markdown("2. Select the country where you think the image was taken.\n3. Review the results.\n4. Play again by clicking **Get New Image**")
+    gr.Markdown("## Instructions:")
+    gr.Markdown("\n1. First to Start playing press **Get New Image** at the bottom (the server needs to refresh from the cache and previous user)\n2. Select the country where you think the image was taken.\n3. Review the results.\n4. Play again by clicking **Get New Image**")
     img = gr.Image(image)
     radio = gr.Radio(choices=options, label ="Select the country:")
     ai_pred = gr.Markdown()