Update app.py

app.py

@@ -28,10 +28,12 @@ def compute_wer_table(audio, text):
 
     trans = []
     wer_scores = []
+    remove_chars = str.maketrans('', '', '.,!?')
+    
     for model in model_name:
         pipe = pipeline("automatic-speech-recognition", model=model_name[model])
         transcription = pipe(audio_input)['text']
-        transcription = transcription.replace(",", "").replace(".", "").replace("!", "").replace("?", "")
+        transcription = transcription.translate(remove_chars)
         trans.append(transcription)
         wer = wer_metric.compute(predictions=[transcription.upper()], references=[text.upper()])
         wer_scores.append(wer)
@@ -39,6 +41,7 @@ def compute_wer_table(audio, text):
     result = [[model, t, s] for model, t, s in zip(model_name.keys(), trans, wer_scores)]
 
     return result
+
 with gr.Blocks() as demo:
     with gr.Tab("Docs"):
         gr.Markdown((Path(__file__).parent / "demo.md").read_text())