Fix by printing methods

app.py

@@ -58,7 +58,7 @@ class Tango:
     def generate(self, prompt, steps = 100, guidance = 3, samples = 1, disable_progress = True):
         # Generate audio for a single prompt string
         with torch.no_grad():
-            self.model.set_generation_params(duration=20)
+            print(dir(self.model))
             latents = self.model.inference([prompt], self.scheduler, steps, guidance, samples, disable_progress = disable_progress)
             mel = self.vae.decode_first_stage(latents)
             wave = self.vae.decode_to_waveform(mel)
@@ -146,12 +146,6 @@ def text2audio(
         gr.update(visible = True, value = "Start again to get a different result. The output have been generated in " + ((str(hours) + " h, ") if hours != 0 else "") + ((str(minutes) + " min, ") if hours != 0 or minutes != 0 else "") + str(secondes) + " sec.")
     ]
 
-def keep_output(output_format, output_number):
-    time.sleep(3 * 60 * 60)
-    return [
-        gr.update(visible = False)
-    ]
-
 # Gradio interface
 with gr.Blocks() as interface:
     gr.Markdown("""
@@ -221,12 +215,7 @@ with gr.Blocks() as interface:
         output_audio_2,
         output_audio_3,
         information
-    ], scroll_to_output = True).success(fn = keep_output, inputs = [
-        output_format,
-        output_number
-    ], outputs = [
-        information
-    ], queue = True, show_progress = False)
+    ], scroll_to_output = True)
 
     gr.Examples(
         fn = text2audio,