Commit
54ed3cf
1 Parent(s): fbf5d25

Display as many output as generated (#4)

Browse files

- Display as many output as generated (da24da3a41398e2c32068e8d7e244349ba007e6f)


Co-authored-by: Fabrice TIERCELIN <Fabrice-TIERCELIN@users.noreply.huggingface.co>

Files changed (1) hide show
  1. app.py +32 -28
app.py CHANGED
@@ -86,10 +86,10 @@ tango.model.to(device_type)
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  @spaces.GPU(duration=120)
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  def gradio_generate(
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  prompt,
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- output_format,
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- output_number,
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- steps,
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- guidance
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  ):
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  output_wave = tango.generate(prompt, steps, guidance, output_number)
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  # output_filename = f"{prompt.replace(' ', '_')}_{steps}_{guidance}"[:250] + ".wav"
@@ -121,7 +121,11 @@ def gradio_generate(
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  else:
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  output_filename_3 = None
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- return [output_filename_1, output_filename_2, output_filename_3]
 
 
 
 
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  # description_text = """
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  # <p><a href="https://huggingface.co/spaces/declare-lab/tango/blob/main/app.py?duplicate=true"> <img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> For faster inference without waiting in queue, you may duplicate the space and upgrade to a GPU in the settings. <br/><br/>
@@ -167,29 +171,29 @@ gr_interface = gr.Interface(
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  description=description_text,
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  allow_flagging=False,
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  examples=[
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- ["Quiet speech and then and airplane flying away"],
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- ["A bicycle peddling on dirt and gravel followed by a man speaking then laughing"],
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- ["Ducks quack and water splashes with some animal screeching in the background"],
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- ["Describe the sound of the ocean"],
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- ["A woman and a baby are having a conversation"],
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- ["A man speaks followed by a popping noise and laughter"],
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- ["A cup is filled from a faucet"],
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- ["An audience cheering and clapping"],
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- ["Rolling thunder with lightning strikes"],
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- ["A dog barking and a cat mewing and a racing car passes by"],
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- ["Gentle water stream, birds chirping and sudden gun shot"],
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- ["A man talking followed by a goat baaing then a metal gate sliding shut as ducks quack and wind blows into a microphone."],
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- ["A dog barking"],
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- ["A cat meowing"],
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- ["Wooden table tapping sound while water pouring"],
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- ["Applause from a crowd with distant clicking and a man speaking over a loudspeaker"],
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- ["two gunshots followed by birds flying away while chirping"],
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- ["Whistling with birds chirping"],
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- ["A person snoring"],
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- ["Motor vehicles are driving with loud engines and a person whistles"],
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- ["People cheering in a stadium while thunder and lightning strikes"],
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- ["A helicopter is in flight"],
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- ["A dog barking and a man talking and a racing car passes by"],
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  ],
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  cache_examples="lazy", # Turn on to cache.
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  )
 
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  @spaces.GPU(duration=120)
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  def gradio_generate(
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  prompt,
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+ output_format="wav",
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+ output_number=3,
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+ steps=100,
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+ guidance=3
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  ):
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  output_wave = tango.generate(prompt, steps, guidance, output_number)
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  # output_filename = f"{prompt.replace(' ', '_')}_{steps}_{guidance}"[:250] + ".wav"
 
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  else:
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  output_filename_3 = None
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+ return [
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+ gr.update(value = output_filename_1),
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+ gr.update(value = output_filename_2, visible = (2 <= output_number)),
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+ gr.update(value = output_filename_3, visible = (output_number == 3))
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+ ]
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  # description_text = """
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  # <p><a href="https://huggingface.co/spaces/declare-lab/tango/blob/main/app.py?duplicate=true"> <img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> For faster inference without waiting in queue, you may duplicate the space and upgrade to a GPU in the settings. <br/><br/>
 
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  description=description_text,
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  allow_flagging=False,
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  examples=[
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+ ["Quiet speech and then and airplane flying away", "wav", 1, 100, 3],
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+ ["A bicycle peddling on dirt and gravel followed by a man speaking then laughing", "wav", 1, 100, 3],
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+ ["Ducks quack and water splashes with some animal screeching in the background", "wav", 1, 100, 3],
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+ ["Describe the sound of the ocean", "wav", 1, 100, 3],
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+ ["A woman and a baby are having a conversation", "wav", 1, 100, 3],
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+ ["A man speaks followed by a popping noise and laughter", "wav", 1, 100, 3],
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+ ["A cup is filled from a faucet", "wav", 1, 100, 3],
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+ ["An audience cheering and clapping", "wav", 1, 100, 3],
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+ ["Rolling thunder with lightning strikes", "wav", 1, 100, 3],
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+ ["A dog barking and a cat mewing and a racing car passes by", "wav", 1, 100, 3],
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+ ["Gentle water stream, birds chirping and sudden gun shot", "wav", 1, 100, 3],
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+ ["A man talking followed by a goat baaing then a metal gate sliding shut as ducks quack and wind blows into a microphone.", "wav", 1, 100, 3],
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+ ["A dog barking", "wav", 1, 100, 3],
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+ ["A cat meowing", "wav", 1, 100, 3],
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+ ["Wooden table tapping sound while water pouring", "wav", 1, 100, 3],
189
+ ["Applause from a crowd with distant clicking and a man speaking over a loudspeaker", "wav", 1, 100, 3],
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+ ["two gunshots followed by birds flying away while chirping", "wav", 1, 100, 3],
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+ ["Whistling with birds chirping", "wav", 1, 100, 3],
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+ ["A person snoring", "wav", 1, 100, 3],
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+ ["Motor vehicles are driving with loud engines and a person whistles", "wav", 1, 100, 3],
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+ ["People cheering in a stadium while thunder and lightning strikes", "wav", 1, 100, 3],
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+ ["A helicopter is in flight", "wav", 1, 100, 3],
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+ ["A dog barking and a man talking and a racing car passes by", "wav", 1, 100, 3],
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  ],
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  cache_examples="lazy", # Turn on to cache.
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  )