fix code

tasks/audio.py

@@ -21,7 +21,7 @@ ROUTE = "/audio"
 def create_spec(dataset):
     spectograms = []
     
-    for d in enumerate(dataset):  
+    for d in dataset:  
         audio_sample = d["audio"]["array"] if d["audio"]["sampling_rate"] == 12000 else librosa.resample(
                 d["audio"]["array"], 
                 orig_sr= d["audio"]["sampling_rate"], 
@@ -85,10 +85,9 @@ async def evaluate_audio(request: AudioEvaluationRequest):
     tracker.start_task("inference")
     
     test_spec = create_spec(test_dataset)
-    H = np.load("array_file.npy")
+    H = np.load("H.npy")
     W_test = np.dot(test_spec, H)
-    model_filename = 'model.joblib'
-    model = joblib.load(model_filename)
+    model = joblib.load('model.joblib')
     #--------------------------------------------------------------------------------------------
     # 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.