Update app.py

app.py

@@ -381,6 +381,7 @@ def merge_loop():
     df = make_df("open-llm-leaderboard.csv", N_ROWS)
 
     # Sample two models
+    subprocess.run(["du", "-sh"], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
     sample = df.sample(n=2)
     models = [sample.iloc[i] for i in range(2)]
 
@@ -396,24 +397,31 @@ def merge_loop():
     # Merge configs
     yaml_config = create_config(models)
     print(f"YAML config:{yaml_config}")
+    subprocess.run(["du", "-sh"], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
 
     # Merge models
     merge_models()
     print("Model merged!")
+    subprocess.run(["du", "-sh"], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
+    subprocess.run(["ls", "-larth"], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
 
     # Create model card
     print("Create model card")
     create_model_card(yaml_config, model_name, USERNAME, license)
+    subprocess.run(["du", "-sh"], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
 
     # Upload model
     print("Upload model")
     upload_model(api, USERNAME, model_name)
+    subprocess.run(["du", "-sh"], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
 
     # Clear data
     clear_data()
+    subprocess.run(["du", "-sh"], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
     
     # Evaluate model on Runpod
     create_pod(model_name, USERNAME)
+    subprocess.run(["du", "-sh"], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
 
     
 # Install scrape-open-llm-leaderboard and mergekit