Update app.py

app.py

@@ -308,7 +308,6 @@ def evaluate_predictions(prediction_file, model_name, add_to_leaderboard):
         return f"Error during evaluation: {str(e)}", load_leaderboard()
 
 initialize_leaderboard_file()
-
 with gr.Blocks() as demo:
     gr.Markdown("""
         # Competition Title
@@ -337,7 +336,7 @@ Mobile-MMLU is a benchmark designed to test the capabilities of LLMs optimized f
    Access the dataset and detailed generation instructions on our [GitHub page](https://github.com/your-github-repo).
 
 2. **Generate Predictions**  
-   Use your LLM to answer the questions and format your predictions as a CSV file with the following structure as written on our gothub page :
+   Use your LLM to answer the questions and format your predictions as a CSV file with the following structure as written on our GitHub page :
 	 
 3. **Submit Predictions**  
 Upload your predictions via the submission portal.
@@ -375,7 +374,7 @@ Check the leaderboard for real-time rankings.
 For questions or support, contact us at: [Insert Email Address]
                 """)
 
-       with gr.TabItem("📤 Submission"):
+        with gr.TabItem("📤 Submission"):
             with gr.Row():
                 file_input = gr.File(label="Upload Prediction CSV", file_types=[".csv"], interactive=True)
                 model_name_input = gr.Textbox(label="Model Name", placeholder="Enter your model name")
@@ -393,7 +392,6 @@ For questions or support, contact us at: [Insert Email Address]
                 outputs=[eval_status, overall_accuracy_display],
             )
 
-
         with gr.TabItem("🏅 Leaderboard"):
             leaderboard_table = gr.Dataframe(
                 value=load_leaderboard(),