Update app.py

app.py

@@ -16,7 +16,7 @@ def transcribe(filepath):
     # Assuming the file is named 'audio.wav'
     # Run the transcription
     transcript = asr_pipeline(filepath)
-    return transcript, tokenizer.decode(translation_model.generate(**tokenizer(transcript['text'], return_tensors="pt", padding=True))[0], skip_special_tokens=True)
+    return transcript, tokenizer.decode(translation_model(**tokenizer(transcript['text'], return_tensors="pt", padding=True))[0], skip_special_tokens=True)
 
 
 demo = gr.Interface(fn=transcribe, inputs=[gr.Audio(type='filepath')], outputs=[gr.Text("transcript"), gr.Text("translation")])