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Running
on
T4
Running
on
T4
import gradio as gr | |
import subprocess | |
import os | |
def generate(image, prompt, seed): | |
print(image, prompt, seed) | |
command = f"python handrefiner.py --input_img {image} --out_dir output --strength 0.55 --weights models/inpaint_depth_control.ckpt --prompt '{prompt}' --seed {seed}" | |
try: | |
result = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True) | |
output_path = 'output' | |
print("Output:", result.stdout) | |
print(output_path) | |
# List all files and directories in the given directory | |
contents = os.listdir("output") | |
# Print the contents | |
for item in contents: | |
print(item) | |
return "Done" | |
except subprocess.CalledProcessError as e: | |
print("Error:", e.stderr) | |
return None | |
with gr.Blocks() as demo: | |
with gr.Row(): | |
with gr.Column(): | |
image = gr.Image(type='filepath') | |
textbox = gr.Textbox(show_label=False, value="a person facing the camera, making a hand gesture, indoor") | |
seed = gr.Slider(minimum=0, maximum=1000000, value=643534) | |
button = gr.Button() | |
#output_image = gr.Image(show_label=False, type="filepath", interactive=False, height=512, width=512) | |
output_image = gr.Textbox() | |
button.click(fn=generate, inputs=[image, textbox, seed], outputs=[output_image]) | |
demo.queue().launch(inline=False, share=True, debug=True) |