Update app.py

app.py

@@ -36,9 +36,9 @@ def youtube_transcribe(url):
     path_wav = convert_to_wav(path)
     
     audio_dataset = Dataset.from_dict({"audio": [path_wav]}).cast_column("audio", Audio(sampling_rate=16000))
-    text = pipe1(audio_dataset["audio"])["text"]
+    text = pipe1(audio_dataset["audio"])
 
-    return text
+    return text[0]["text"]
     
 with gr.Blocks() as demo:
     gr.Markdown("Whisper Small Swedish + Swedish GPT")