Upload 3 files

tasks/H.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5b7bf9ff7240c43f532650b661e94d16f6da2d0be2c6c583a5b6cc0da226b87
+size 34688

tasks/audio.py

@@ -91,10 +91,6 @@ async def evaluate_audio(request: AudioEvaluationRequest):
     W_test = np.dot(test_spec, H)
     model = joblib.load('model.joblib')
     
-    test_spec = create_spec(test_dataset)
-    model = joblib.load("3000_40_100/model.joblib")
-    H = np.load("3000_40_100/H.npy")
-    W_test = np.dot(test_spec, H)
     #--------------------------------------------------------------------------------------------
     # YOUR MODEL INFERENCE CODE HERE
     # Update the code below to replace the random baseline by your model inference within the inference pass where the energy consumption and emissions are tracked.

tasks/model.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33688213987985901a75886484a540a423d9e0d5967fd4a49a79c74aadb8697a
+size 1350138