Update app.py

app.py

@@ -343,7 +343,7 @@ def run_tuning_task():
         print(f"Found {len(liked_data)} total liked responses for training.")
 
         # Add shuffle and sample 10,000 random examples
-        liked_data = liked_data.shuffle(seed=42).select(range(10000))  # Use first 10,000 samples
+        liked_data = liked_data.shuffle(seed=42).select(range(5900))  # Use first 10,000 samples
         
         if len(liked_data) < MIN_LIKES_FOR_TRAINING:
             TRAINING_STATUS = f"✅ Improvement complete! (Not enough new data to train, will try again later)."