Add debug logging to diagnose constant risk score issue

app.py

@@ -382,12 +382,17 @@ def predict_pneumonia_endpoint():
 
         # Generate embeddings using OpenL3
         embeddings = generate_embeddings(audio_clips)
+        print(f"DEBUG: Generated {len(embeddings)} embeddings, shape: {embeddings.shape}")
+        print(f"DEBUG: Embedding stats - mean: {embeddings.mean():.4f}, std: {embeddings.std():.4f}")
 
         if embeddings.size == 0:
             return jsonify({"result": "No embeddings generated", "risk_score": None}), 200
 
         # Predict pneumonia risk
         clip_predictions, clip_probabilities = predict_pneumonia(embeddings, classifier_model)
+        print(f"DEBUG: Predictions: {clip_predictions}")
+        print(f"DEBUG: Probabilities shape: {clip_probabilities.shape}")
+        print(f"DEBUG: Individual probabilities for class 1: {clip_probabilities[:, 1]}")
         
         if clip_predictions is None or clip_probabilities is None:
             return jsonify({"result": "Prediction failed", "risk_score": None}), 200