Update app.py

app.py

@@ -12,55 +12,16 @@ math_samples = []
 loading_status = {"loaded": False, "error": None}
 
 def load_sample_problems():
-    """Load sample problems asynchronously"""
+    """Load sample problems - using fallback only to avoid storage limits"""
     global math_samples, loading_status
-    samples = []
     
-    try:
-        # GSM8K
-        gsm8k = load_dataset("openai/gsm8k", "main", streaming=True, split="train")
-        for i, item in enumerate(gsm8k):
-            if i >= 30:
-                break
-            samples.append(item["question"])
-        
-        # Fineweb-edu
-        fw = load_dataset("HuggingFaceFW/fineweb-edu", name="sample-10BT", split="train", streaming=True)
-        fw_count = 0
-        for item in fw:
-            if fw_count >= 15:
-                break
-            text_lower = item['text'].lower()
-            if any(w in text_lower for w in ['math', 'calculate', 'solve', 'equation']):
-                q = item['text'][:120].strip()
-                if len(q) > 20:
-                    samples.append(q + "...")
-                    fw_count += 1
-        
-        # Ultrachat
-        ds = load_dataset("HuggingFaceH4/ultrachat_200k", streaming=True, split="train_sft")
-        ds_count = 0
-        for item in ds:
-            if ds_count >= 15:
-                break
-            if len(item['messages']) > 0:
-                content = item['messages'][0]['content'].lower()
-                if any(w in content for w in ['math', 'solve', 'equation', 'calculate']):
-                    samples.append(item['messages'][0]['content'])
-                    ds_count += 1
-        
-        math_samples = samples if samples else get_fallback_samples()
-        loading_status["loaded"] = True
-        print(f"✅ Loaded {len(math_samples)} samples")
-        
-    except Exception as e:
-        print(f"⚠️ Dataset error: {e}")
-        math_samples = get_fallback_samples()
-        loading_status["error"] = str(e)
-        loading_status["loaded"] = True
+    # Skip dataset loading to avoid 50GB storage limit
+    math_samples = get_fallback_samples()
+    loading_status["loaded"] = True
+    print(f"✅ Loaded {len(math_samples)} fallback samples")
 
 def get_fallback_samples():
-    """Extended fallback problems"""
+    """Extended fallback problems covering diverse topics"""
     return [
         "Find the derivative of f(x) = 3x² + 2x - 1",
         "A triangle has sides 5, 12, and 13. What is its area?",
@@ -77,6 +38,16 @@ def get_fallback_samples():
         "Solve x² - 4x + 4 = 0",
         "Find tan(π/4)",
         "What is 15% of 240?",
+        "Evaluate ∫x³ dx from 1 to 3",
+        "Find the slope of the line through (2,3) and (5,9)",
+        "Convert 45° to radians",
+        "Solve |2x - 5| = 7",
+        "Find the vertex of y = x² - 6x + 8",
+        "Calculate the discriminant of 2x² + 3x - 5 = 0",
+        "What is the standard deviation of [2, 4, 6, 8, 10]?",
+        "Simplify √(72)",
+        "Find cos(60°)",
+        "Solve the inequality 3x - 7 > 11",
     ]
 
 # Start background loading