app.py
CHANGED
@@ -15,7 +15,8 @@ it took
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to blossom.
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word: """
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-
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def poem_generate(word):
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@@ -50,8 +51,8 @@ demo = gr.Blocks()
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with demo:
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gr.Markdown("<h1><center>Generate Short Poem along with an Illustration</center></h1>")
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gr.Markdown(
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-
"<div>Enter a single word you would want GPTJ-6B to write
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"<div>Generate an illustration provided by Latent Diffusion model.</div><div>GPJ-6B is a 6 Billion parameter autoregressive language model. It generates the Poem based on how it has been 'prompt-engineered' π€ The complete text of generated poem then goes in as a prompt to the amazing Latent Diffusion Art space by <a href='https://huggingface.co/spaces/multimodalart/latentdiffusion' target='_blank'>Multimodalart</a>.</div>"
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)
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with gr.Row():
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input_word = gr.Textbox(placeholder="Enter a word here to create a Poem on..")
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@@ -63,5 +64,6 @@ with demo:
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b1.click(poem_generate, input_word, poem_txt)
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b2.click(poem_to_image, poem_txt, output_image)
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demo.launch(enable_queue=True, debug=True)
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to blossom.
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word: """
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+
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examples = [["river"], ["night"], ["trees"],["table"],["laughs"]]
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def poem_generate(word):
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with demo:
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gr.Markdown("<h1><center>Generate Short Poem along with an Illustration</center></h1>")
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gr.Markdown(
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"<div>Enter a single word you would want GPTJ-6B to write Poetry π€ on.</div>"
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"<div>Generate an illustration π¨ provided by Latent Diffusion model.</div><div>GPJ-6B is a 6 Billion parameter autoregressive language model. It generates the Poem based on how it has been 'prompt-engineered' π€ The complete text of generated poem then goes in as a prompt to the amazing Latent Diffusion Art space by <a href='https://huggingface.co/spaces/multimodalart/latentdiffusion' target='_blank'>Multimodalart</a>.</div>Please note that some of the Poems/Illustrations might not look at par, and well, this is what happens when you can't 'cherry-pick' and post π"
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)
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with gr.Row():
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input_word = gr.Textbox(placeholder="Enter a word here to create a Poem on..")
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b1.click(poem_generate, input_word, poem_txt)
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b2.click(poem_to_image, poem_txt, output_image)
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examples=examples
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demo.launch(enable_queue=True, debug=True)
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