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| import os | |
| import time | |
| import gradio as gr | |
| from client1 import inference | |
| title = "Dreamoving-Phantom" | |
| img_urls=['https://public-vigen-video.oss-cn-shanghai.aliyuncs.com/public/dashscope/show3.png'] | |
| description = f""" Gradio demo for [Dreamoving-Phantom](https://github.com/dreamoving/Phantom) | |
| DreaMoving-Phantom is a general and automatic image enhancement and super resolution framework. | |
| **No need to adjust parameters or select models, just run with one click.** The demo can be adapted to a variety of scenarios. | |
| 🔥 New feature: We added text super-resolution module so that the demo can better handle text scenes. This module will still be updated iteratively. | |
| 🧭 Instructions: Input resolution: 64<=short_side<=2160, long_side<=3840, aspect ratio<=4; best input resolution: no larger than 1080p. | |
| """ | |
| examples=[['examples/3.png'],['examples/4.png'],['examples/5.png'],['examples/6.png'], | |
| ['examples/7.png'],['examples/8.png'],['examples/1.png'],['examples/9.jpg'],['examples/10.png'], | |
| ['examples/12.png'],['examples/13.png'],['examples/14.png']] | |
| # result_gallery = gr.Gallery(label='Output', show_label=False, elem_id="gallery").style(grid=2) | |
| with gr.Blocks(css="style.css") as demo: | |
| gr.Markdown(f"<h1 style='text-align: center; font-size: 2em;'>{title}</h1>") | |
| gr.Markdown(description, elem_id='description') | |
| with gr.Row(): | |
| with gr.Column(scale=0.67): | |
| input_image = gr.Image(type="pil", label="Input Image", image_mode="RGBA") | |
| upsample_scale = gr.Slider(label="Upsample Scale", minimum=1, maximum=4, value=2, step=1, elem_id='slider') | |
| btn = gr.Button("Run", elem_id='button_param') | |
| with gr.Column(): | |
| output_gallery = gr.Gallery(label="Output", elem_id="output_gallery") | |
| # output_gallery = gr.Image(type="pil", label="Output", elem_id="output_gallery", image_mode="RGBA") | |
| output_text = gr.Textbox(label="Log", elem_id="output_text") | |
| btn.click( | |
| inference, | |
| inputs=[input_image, upsample_scale], | |
| outputs=[output_gallery, output_text] | |
| ) | |
| with gr.Row(): | |
| with gr.Column(scale=2): | |
| gr.Markdown('**Examples**', elem_id='example') | |
| gr.Examples(label='', examples=examples, inputs=[input_image, upsample_scale], outputs=[output_gallery, output_text], examples_per_page=15, elem_id='examples') | |
| with gr.Column(scale=3): | |
| additional_text = "**Gallery**" | |
| gr.Markdown(additional_text, elem_id='additional_text') | |
| gr.HTML( | |
| f""" | |
| <div style='text-align: center;'> | |
| <img src='{img_urls[0]}' alt='gallery' style='max-width: 100%; height: auto; margin-top: 5px;'> | |
| </div> | |
| """, | |
| elem_id='html_image' | |
| ) | |
| # concurrency_count, concurrency_limit, max_threads | |
| demo.queue(api_open=False, max_size=1000).launch( | |
| server_name="0.0.0.0", # if os.getenv('GRADIO_LISTEN', '') != '' else "127.0.0.1", | |
| share=True, | |
| server_port=7860, | |
| root_path=f"/{os.getenv('GRADIO_PROXY_PATH')}" if os.getenv('GRADIO_PROXY_PATH') else "" | |
| ) | |