print results

app/main.py

@@ -21,7 +21,6 @@ import opensmile
 
 import ffmpeg
 import noisereduce as nr
-import numpy as np
 
 default_sample_rate=22050
 
@@ -339,6 +338,7 @@ async def handle_audio(file: UploadFile = File(...)):
 
         # proceed with an inference
         results = model.predict(features)
+        print(results)
         # decoded_predictions = [label_encoder.classes_[i] for i in results]
 
         # # Decode the predictions using the label encoder