import gradio as gr import numpy as np from options import Banner, Video from huggingface_hub import login import os login(token=os.getenv("TOKEN")) MAX_SEED = np.iinfo(np.int32).max MAX_IMAGE_SIZE = 2048 with gr.Blocks() as demo: gr.Markdown("# Create your own Advertisement") with gr.Tab("Banner"): gr.Markdown("# Take your banner to the next LEVEL!") with gr.TabItem("Create your Banner"): textInput = gr.Textbox(label="Enter the text to get a good start") with gr.Accordion("Advanced Settings", open=False): with gr.Row(): width = gr.Slider( label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=8, value=1024, ) height = gr.Slider( label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024, ) guidance_scale = gr.Slider( label="Guidance Scale", minimum=1, maximum=15, step=0.1, value=3.5, ) num_inference_steps = gr.Slider( label="Number of Inference Steps", minimum=1, maximum=50, step=1, value=28, ) submit = gr.Button("Submit") submit.click( fn=Banner.TextImage, inputs=[textInput, width, height, guidance_scale, num_inference_steps], outputs=gr.Image() ) with gr.TabItem("Edit your Banner"): input_image_editor_component = gr.ImageEditor( label='Image', type='pil', sources=["upload", "webcam"], image_mode='RGB', layers=False, brush=gr.Brush(colors=["#FFFFFF"], color_mode="fixed")) prompt = gr.Textbox(label="Enter the text to get a good start") out_img=gr.Image() btn = gr.Button() btn.click(Banner.Image2Image, [prompt,input_image_editor_component], out_img) with gr.TabItem("Upgrade your Banner"): img = gr.Image() prompt = gr.Textbox(label="Enter the text to get a good start") btn = gr.Button() size = gr.Slider(label="Size", minimum=256, maximum=MAX_IMAGE_SIZE, step=8, value=1024) out_img = gr.Image() btn.click(Banner.Image2Image_2, [prompt, img,size,num_inference_steps], out_img) with gr.Tab("Video"): gr.Markdown("# Create your own Video") img=gr.Image() btn = gr.Button() video=gr.Video() btn.click(Video.Video, img, video) demo.launch()