Adding llama3 results

app.py

@@ -28,7 +28,7 @@ average_scores = df.iloc[:, 2:].mean(axis=1).round(2)
 
 # Replace Column names
 df.columns = ["Model", "Evaluation", "AOC Original",
-              "AOC Leet", "Euler Original", "Euler Story"]
+              "AOC Concise", "Euler Original", "Euler Story"]
 
 average_scores = df.iloc[:, 2:].mean(axis=1).round(2)
 df.insert(loc=2, column="⬆️ Average", value=average_scores)
@@ -54,7 +54,7 @@ with demo:
 
             )
         with gr.TabItem("AoC"):
-            aoc_df = df[["Model", "Evaluation", "AOC Original", "AOC Leet"]]
+            aoc_df = df[["Model", "Evaluation", "AOC Original", "AOC Concise"]]
             average_scores = aoc_df.iloc[:, 2:].mean(axis=1).round(2)
             aoc_df.insert(loc=2, column="⬆️ Average", value=average_scores)
             aoc_df = aoc_df.sort_values(by=["Evaluation", "⬆️ Average"], ascending=[False, False])

current_results.json

@@ -43,7 +43,7 @@
     "link": "https://huggingface.co/WizardLM/WizardCoder-Python-34B-V1.0"
   },
   {
-    "Model": "gpt3.5",
+    "Model": "gpt3.5-turbo",
     "euler_original": 8.19,
     "euler_story": 6.95,
     "aoc_leet": 29.85,
@@ -57,5 +57,14 @@
     "aoc_original": 51.28,
     "aoc_leet": 46.26,
     "instruction_only": false
+  },
+  {
+    "Model": "Llama-3-8B-Instruct",
+    "euler_original": 4.47,
+    "euler_story": 0.0,
+    "aoc_leet": 6.38,
+    "aoc_original": 1.53,
+    "instruction_only": false,
+    "link": "https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct"
   }
 ]