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app.py

@@ -107,7 +107,7 @@ def transcribe(audio, model_name):
     mel = mel.to(device)
 
     with torch.no_grad():
-        tokens = asr.generate(mel, max_new_tokens=100, eos_token_id=0)
+        tokens = asr.generate(mel, max_new_tokens=100, eos_token_id=0, repetition_penalty=1.5)
 
     asr.to("cpu")
     text = tokenizer.decode(tokens, skip_special_tokens=True).strip()