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import gradio as gr
title = "Control Net for Media Pipe Hand tracking"
description = "This is a demo of a Media pipe hand tracking"
def inference_fun(prompt, negative_prompt, image):
# your inference code goes here
return None
with gr.Blocks(theme='gradio/soft') as demo:
gr.Markdown("## Control Net for Media Pipe Hand tracking")
with gr.Tab("Stable Diffusion"):
prompt_input_txt = gr.Textbox(label="Prompt")
negative_prompt_txt = gr.Textbox(label="Negative Prompt")
input_image = gr.Image(label="Input Image")
output_image = gr.Image(label="Output Image")
submit_btn = gr.Button(value = "Submit")
sd_inputs = [prompt_input_txt, negative_prompt_txt, input_image]
submit_btn.click(fn=inference_fun, inputs=sd_inputs, outputs=[output_image])
#examples = [["a woman is making an ok sign in front of a painting", "low quality", "val_1.png", "val_2.png" ]]
#gr.Examples(fn = infer_sd, inputs = ["text", "text", "image", "image"], examples=examples, cache_examples=True)
demo.launch() |