Update app.py

app.py

@@ -165,13 +165,12 @@ gr.ChatInterface(
         retry_btn=None,
         undo_btn=None,
         examples=[
-                  [{"text": "Generate: Python code to fine-tune model meta-llama/Meta-Llama-3.1-8B on dataset gretelai/synthetic_text_to_sql using QLoRA", "files": []}],
-                  [{"text": "Explain: r\"^(?=.*[A-Z])(?=.*[a-z])(?=.*[0-9])(?=.*[\\W]).{8,}$\"", "files": []}],
-                  [{"text": "Fix: x = [5, 2, 1, 3, 4]; print(x.sort())", "files": []}],
-                  [{"text": "Optimize: x = []; for i in range(0, 10000): x.append(i)", "files": []}],
-                  [{"text": "Execute: First 25 Fibbonaci numbers", "files": []}],
-                  [{"text": "Execute: Chart showing stock gain YTD for NVDA, MSFT, AAPL, and GOOG, x-axis is 'Day' and y-axis is 'YTD Gain %'", "files": []}],
+                  ["Generate: Python code to fine-tune model meta-llama/Meta-Llama-3.1-8B on dataset gretelai/synthetic_text_to_sql using QLoRA"],
+                  ["Explain: r\"^(?=.*[A-Z])(?=.*[a-z])(?=.*[0-9])(?=.*[\\W]).{8,}$\""],
+                  ["Fix: x = [5, 2, 1, 3, 4]; print(x.sort())",
+                  ["Optimize: x = []; for i in range(0, 10000): x.append(i)"],
+                  ["Execute: First 25 Fibbonaci numbers",
+                  ["Execute: Chart showing stock gain YTD for NVDA, MSFT, AAPL, and GOOG, x-axis is 'Day' and y-axis is 'YTD Gain %'",
                  ],
         cache_examples=False,
-        multimodal=False,
     ).launch()