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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()
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