Update app.py

app.py

@@ -26,10 +26,6 @@ tangoflux = TangoFluxInference(name="declare-lab/TangoFlux")
 def gradio_generate(prompt, output_format, steps, guidance,duration=10):
 
     output_wave = tangoflux.generate(prompt,steps=steps,guidance_scale=guidance,duration=duration)
-    #output_wave = pipe(prompt,steps,guidance) ## Using pipeliine automatically uses flash attention for torch2.0 above
-    #output_wave = tango.generate(prompt, steps, guidance)
-    # output_filename = f"{prompt.replace(' ', '_')}_{steps}_{guidance}"[:250] + ".wav"
-    output_wave = output_wave.audios[0]
     output_filename = "temp.wav"
     torchaudio.save(output_filename, output_wave, sample_rate=44100)
     #wavio.write(output_filename, output_wave, rate=44100, sampwidth=2)