From prod

app.py

@@ -58,9 +58,6 @@ 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():
-            print(self.model.inference.__code__.co_varnames)
-            print(self.vae.decode_first_stage.__code__.co_varnames)
-            print(self.vae.decode_to_waveform.__code__.co_varnames)
             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)
@@ -163,7 +160,7 @@ with gr.Blocks() as interface:
         <li>If you need to generate <b>music</b>, I recommend to use <i>MusicGen</i>,</li>
         </ul>
         <br/>
-        🐌 Slow process... ~2 hours. Your computer must <b><u>not</u></b> enter into standby mode.<br/>You can duplicate this space on a free account, it works on CPU.<br/>
+        🐌 Slow process... ~5 min. Your computer must <b><u>not</u></b> enter into standby mode.<br/>You can duplicate this space on a free account, it works on CPU.<br/>
         <a href='https://huggingface.co/spaces/Fabrice-TIERCELIN/Text-to-Audio?duplicate=true&hidden=public&hidden=public'><img src='https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14'></a>
         <br/>
         ⚖️ You can use, modify and share the generated sounds but not for commercial uses.
@@ -172,7 +169,7 @@ with gr.Blocks() as interface:
     input_text = gr.Textbox(label = "Prompt", value = "Snort of a horse", lines = 2, autofocus = True)
     with gr.Accordion("Advanced options", open = False):
         output_format = gr.Radio(label = "Output format", info = "The file you can dowload", choices = ["mp3", "wav"], value = "wav")
-        output_number = gr.Slider(label = "Number of generations", info = "1, 2 or 3 output files", minimum = 1, maximum = 3, value = 3, step = 1, interactive = True)
+        output_number = gr.Slider(label = "Number of generations", info = "1, 2 or 3 output files", minimum = 1, maximum = 3, value = 1, step = 1, interactive = True)
         denoising_steps = gr.Slider(label = "Steps", info = "lower=faster & variant, higher=audio quality & similar", minimum = 10, maximum = 200, value = 10, step = 1, interactive = True)
         guidance_scale = gr.Slider(label = "Guidance Scale", info = "lower=audio quality, higher=follow the prompt", minimum = 1, maximum = 10, value = 3, step = 0.1, interactive = True)
         randomize_seed = gr.Checkbox(label = "\U0001F3B2 Randomize seed", value = True, info = "If checked, result is always different")