Update app.py

app.py

@@ -1,10 +1,22 @@
 import transformers
 from transformers import pipeline
 import gradio as gr
+from evaluate import evaluator
+from datasets import load_dataset
 
 
+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)
 # whisper_esc50 = pipeline(model="mskov/whisper_esc50")  
-whisper_miso= pipeline(model="mskov/whisper_miso")  
+#whisper_miso= pipeline(model="mskov/whisper_miso")  
 
 
 # dataset = load_dataset("mskov/miso_test")