Update app.py

app.py

@@ -84,9 +84,16 @@ def transcribe(audio, task_type, language):
     
     # Use the pipeline to perform transcription
     sample = {"array": waveform.squeeze().numpy(), "sampling_rate": sample_rate}
-    text = pipe(sample, generate_kwargs={"task": task_type, "num_beams": 10, "early_stopping": True, "language": language})["text"]
-    
-    return text
+    texts = pipe(sample, generate_kwargs={
+        "task": task_type,
+        "num_beams": 3, 
+        "num_return_sequences": 3,
+        "no_repeat_ngram_size": 4, 
+        "early_stopping": True, 
+        "language": language
+    })
+    print(texts)
+    return texts[0]['text']
 
 def get_wav_files(directory):
     """