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Update gradio_app.py
Browse files- gradio_app.py +17 -2
gradio_app.py
CHANGED
@@ -2,6 +2,8 @@ import torch
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import imageio
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import os
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import gradio as gr
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from diffusers.schedulers import EulerAncestralDiscreteScheduler
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from transformers import T5EncoderModel, T5Tokenizer
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from allegro.pipelines.pipeline_allegro import AllegroPipeline
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@@ -29,6 +31,8 @@ if not is_shared_ui:
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local_dir=weights_dir,
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)
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def single_inference(user_prompt, save_path, guidance_scale, num_sampling_steps, seed, enable_cpu_offload):
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dtype = torch.bfloat16
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@@ -184,21 +188,32 @@ with gr.Blocks(css=css) as demo:
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</p>
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</div>
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''', elem_id="warning-duplicate")
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else:
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if(is_gpu_associated):
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submit_btn = gr.Button("Generate Video", visible=
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else:
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top_description = gr.HTML(f'''
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<div class="gr-prose">
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<h2><svg xmlns="http://www.w3.org/2000/svg" width="18px" height="18px" style="margin-right: 0px;display: inline-block;"fill="none"><path fill="#fff" d="M7 13.2a6.3 6.3 0 0 0 4.4-10.7A6.3 6.3 0 0 0 .6 6.9 6.3 6.3 0 0 0 7 13.2Z"/><path fill="#fff" fill-rule="evenodd" d="M7 0a6.9 6.9 0 0 1 4.8 11.8A6.9 6.9 0 0 1 0 7 6.9 6.9 0 0 1 7 0Zm0 0v.7V0ZM0 7h.6H0Zm7 6.8v-.6.6ZM13.7 7h-.6.6ZM9.1 1.7c-.7-.3-1.4-.4-2.2-.4a5.6 5.6 0 0 0-4 1.6 5.6 5.6 0 0 0-1.6 4 5.6 5.6 0 0 0 1.6 4 5.6 5.6 0 0 0 4 1.7 5.6 5.6 0 0 0 4-1.7 5.6 5.6 0 0 0 1.7-4 5.6 5.6 0 0 0-1.7-4c-.5-.5-1.1-.9-1.8-1.2Z" clip-rule="evenodd"/><path fill="#000" fill-rule="evenodd" d="M7 2.9a.8.8 0 1 1 0 1.5A.8.8 0 0 1 7 3ZM5.8 5.7c0-.4.3-.6.6-.6h.7c.3 0 .6.2.6.6v3.7h.5a.6.6 0 0 1 0 1.3H6a.6.6 0 0 1 0-1.3h.4v-3a.6.6 0 0 1-.6-.7Z" clip-rule="evenodd"/></svg>
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You have successfully duplicated the Allegro Video Generation Space π</h2>
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<p>There's only one step left before you can generate a video: <a href="https://huggingface.co/spaces/{os.environ['SPACE_ID']}/settings" style="text-decoration: underline" target="_blank">attribute a GPU</b> to it (via the Settings tab)</a>.
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You will be billed by the minute from when you activate the GPU until when it is turned off.</p>
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<p class="actions">
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<a href="https://huggingface.co/spaces/{os.environ['SPACE_ID']}/settings">π₯ Set recommended GPU</a>
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</p>
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</div>
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''', elem_id="warning-setgpu")
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with gr.Column():
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video_output=gr.Video(label="Generated Video")
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import imageio
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import os
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import gradio as gr
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import subprocess
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from subprocess import getoutput
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from diffusers.schedulers import EulerAncestralDiscreteScheduler
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from transformers import T5EncoderModel, T5Tokenizer
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from allegro.pipelines.pipeline_allegro import AllegroPipeline
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local_dir=weights_dir,
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)
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if is_gpu_associated:
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gpu_info = getoutput('nvidia-smi')
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def single_inference(user_prompt, save_path, guidance_scale, num_sampling_steps, seed, enable_cpu_offload):
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dtype = torch.bfloat16
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</p>
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</div>
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''', elem_id="warning-duplicate")
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submit_btn = gr.Button("Generate Video", visible=False)
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else:
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if(is_gpu_associated):
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submit_btn = gr.Button("Generate Video", visible=True)
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top_description = gr.HTML(f'''
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<div class="gr-prose">
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<h2><svg xmlns="http://www.w3.org/2000/svg" width="18px" height="18px" style="margin-right: 0px;display: inline-block;"fill="none"><path fill="#fff" d="M7 13.2a6.3 6.3 0 0 0 4.4-10.7A6.3 6.3 0 0 0 .6 6.9 6.3 6.3 0 0 0 7 13.2Z"/><path fill="#fff" fill-rule="evenodd" d="M7 0a6.9 6.9 0 0 1 4.8 11.8A6.9 6.9 0 0 1 0 7 6.9 6.9 0 0 1 7 0Zm0 0v.7V0ZM0 7h.6H0Zm7 6.8v-.6.6ZM13.7 7h-.6.6ZM9.1 1.7c-.7-.3-1.4-.4-2.2-.4a5.6 5.6 0 0 0-4 1.6 5.6 5.6 0 0 0-1.6 4 5.6 5.6 0 0 0 1.6 4 5.6 5.6 0 0 0 4 1.7 5.6 5.6 0 0 0 4-1.7 5.6 5.6 0 0 0 1.7-4 5.6 5.6 0 0 0-1.7-4c-.5-.5-1.1-.9-1.8-1.2Z" clip-rule="evenodd"/><path fill="#000" fill-rule="evenodd" d="M7 2.9a.8.8 0 1 1 0 1.5A.8.8 0 0 1 7 3ZM5.8 5.7c0-.4.3-.6.6-.6h.7c.3 0 .6.2.6.6v3.7h.5a.6.6 0 0 1 0 1.3H6a.6.6 0 0 1 0-1.3h.4v-3a.6.6 0 0 1-.6-.7Z" clip-rule="evenodd"/></svg>
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You have successfully associated a {gpu_info} GPU to this Space π</h2>
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<p>
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You can now generate a video! You will be billed by the minute from when you activated the GPU until when it is turned off.
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</p>
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</div>
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''', elem_id="warning-ready")
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else:
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top_description = gr.HTML(f'''
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<div class="gr-prose">
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<h2><svg xmlns="http://www.w3.org/2000/svg" width="18px" height="18px" style="margin-right: 0px;display: inline-block;"fill="none"><path fill="#fff" d="M7 13.2a6.3 6.3 0 0 0 4.4-10.7A6.3 6.3 0 0 0 .6 6.9 6.3 6.3 0 0 0 7 13.2Z"/><path fill="#fff" fill-rule="evenodd" d="M7 0a6.9 6.9 0 0 1 4.8 11.8A6.9 6.9 0 0 1 0 7 6.9 6.9 0 0 1 7 0Zm0 0v.7V0ZM0 7h.6H0Zm7 6.8v-.6.6ZM13.7 7h-.6.6ZM9.1 1.7c-.7-.3-1.4-.4-2.2-.4a5.6 5.6 0 0 0-4 1.6 5.6 5.6 0 0 0-1.6 4 5.6 5.6 0 0 0 1.6 4 5.6 5.6 0 0 0 4 1.7 5.6 5.6 0 0 0 4-1.7 5.6 5.6 0 0 0 1.7-4 5.6 5.6 0 0 0-1.7-4c-.5-.5-1.1-.9-1.8-1.2Z" clip-rule="evenodd"/><path fill="#000" fill-rule="evenodd" d="M7 2.9a.8.8 0 1 1 0 1.5A.8.8 0 0 1 7 3ZM5.8 5.7c0-.4.3-.6.6-.6h.7c.3 0 .6.2.6.6v3.7h.5a.6.6 0 0 1 0 1.3H6a.6.6 0 0 1 0-1.3h.4v-3a.6.6 0 0 1-.6-.7Z" clip-rule="evenodd"/></svg>
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You have successfully duplicated the Allegro Video Generation Space π</h2>
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<p>There's only one step left before you can generate a video: we recommend to <a href="https://huggingface.co/spaces/{os.environ['SPACE_ID']}/settings" style="text-decoration: underline" target="_blank">attribute a L40S GPU</b> to it (via the Settings tab)</a>.
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You will be billed by the minute from when you activate the GPU until when it is turned off.</p>
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<p class="actions">
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<a href="https://huggingface.co/spaces/{os.environ['SPACE_ID']}/settings">π₯ Set recommended GPU</a>
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</p>
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</div>
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''', elem_id="warning-setgpu")
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submit_btn = gr.Button("Generate Video", visible=False)
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with gr.Column():
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video_output=gr.Video(label="Generated Video")
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