Upload app.py

app.py

@@ -76,7 +76,11 @@ class SimpleVideoAnalyzer:
         
         # Simple similarity-based prediction
         # In a real implementation, you'd use a trained classifier
-        scores = np.random.softmax(np.random.randn(len(self.action_categories)))
+        # Generate random scores and apply softmax manually
+        raw_scores = np.random.randn(len(self.action_categories))
+        # Manual softmax implementation
+        exp_scores = np.exp(raw_scores - np.max(raw_scores))  # Subtract max for numerical stability
+        scores = exp_scores / np.sum(exp_scores)
         
         # Get top 5 predictions
         top_indices = np.argsort(scores)[-5:][::-1]