Update app.py

app.py

@@ -10,6 +10,18 @@ from datasets import load_dataset
 
 p = pipeline("automatic-speech-recognition")
 
+task_evaluator = evaluator("automatic-speech-recognition")
+data = load_dataset("mskov/miso_test", "en", split="test[:40]")
+results = task_evaluator.compute(
+    model_or_pipeline="https://huggingface.co/mskov/whisper_miso",
+    data=data,
+    input_column="path",
+    label_column="category",
+    metric="wer",
+)
+print(results)
+
+
 def transcribe(audio, state=""):
     text = p(audio)["text"]
     state += text + " "