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import gradio as gr | |
from urllib.parse import urlparse | |
import requests | |
import time | |
import os | |
from utils.gradio_helpers import parse_outputs, process_outputs | |
names = ['image', 'rotate_pitch', 'rotate_yaw', 'rotate_roll', 'blink', 'eyebrow', 'wink', 'pupil_x', 'pupil_y', 'aaa', 'eee', 'woo', 'smile', 'src_ratio', 'sample_ratio', 'crop_factor', 'output_format', 'output_quality'] | |
def predict(request: gr.Request, *args, progress=gr.Progress(track_tqdm=True)): | |
headers = {'Content-Type': 'application/json'} | |
payload = {"input": {}} | |
base_url = "http://0.0.0.0:7860" | |
for i, key in enumerate(names): | |
value = args[i] | |
if value and (os.path.exists(str(value))): | |
value = f"{base_url}/file=" + value | |
if value is not None and value != "": | |
payload["input"][key] = value | |
response = requests.post("http://0.0.0.0:5000/predictions", headers=headers, json=payload) | |
if response.status_code == 201: | |
follow_up_url = response.json()["urls"]["get"] | |
response = requests.get(follow_up_url, headers=headers) | |
while response.json()["status"] != "succeeded": | |
if response.json()["status"] == "failed": | |
raise gr.Error("The submission failed!") | |
response = requests.get(follow_up_url, headers=headers) | |
time.sleep(1) | |
if response.status_code == 200: | |
json_response = response.json() | |
if(outputs[0].get_config()["name"] == "json"): | |
return json_response["output"] | |
predict_outputs = parse_outputs(json_response["output"]) | |
processed_outputs = process_outputs(predict_outputs) | |
return tuple(processed_outputs) if len(processed_outputs) > 1 else processed_outputs[0] | |
else: | |
if(response.status_code == 409): | |
raise gr.Error(f"Sorry, the Cog image is still processing. Try again in a bit.") | |
raise gr.Error(f"The submission failed! Error: {response.status_code}") | |
def check_password(password): | |
return password == "ittpixio" | |
css = ''' | |
body { | |
font-family: 'Roboto', sans-serif; | |
background-color: #f0f0f0; | |
color: #333; | |
} | |
.container { | |
background-color: white; | |
border-radius: 10px; | |
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); | |
padding: 20px; | |
margin-bottom: 20px; | |
} | |
.gradio-slider input[type="range"] { | |
accent-color: #6200ea; | |
} | |
.gradio-button { | |
background-color: #6200ea; | |
color: white; | |
border: none; | |
padding: 10px 20px; | |
border-radius: 5px; | |
cursor: pointer; | |
transition: background-color 0.3s; | |
} | |
.gradio-button:hover { | |
background-color: #3700b3; | |
} | |
.result-image { | |
width: 100%; | |
max-width: 512px; | |
margin: 0 auto; | |
display: block; | |
} | |
@media (max-width: 768px) { | |
.container { | |
padding: 10px; | |
} | |
} | |
''' | |
with gr.Blocks(css=css, theme=gr.themes.Soft()) as demo: | |
gr.Markdown("# 🎭 Private FaceCraft Alpha") | |
with gr.Column(): | |
password = gr.Textbox(type="password", label="Enter password", placeholder="muhahaha") | |
login_button = gr.Button("Login", variant="primary") | |
with gr.Column(visible=False) as main_interface: | |
gr.Markdown("## 🎨 FaceCraft Alpha") | |
with gr.Row(): | |
with gr.Column(scale=1, elem_classes="container"): | |
image = gr.Image( | |
label="Input image", | |
type="filepath", | |
height=256 | |
) | |
with gr.Row(): | |
rotate_pitch = gr.Slider(label="Rotate Up-Down", value=0, minimum=-20, maximum=20) | |
rotate_yaw = gr.Slider(label="Rotate Left-Right turn", value=0, minimum=-20, maximum=20) | |
with gr.Row(): | |
rotate_roll = gr.Slider(label="Rotate Left-Right tilt", value=0, minimum=-20, maximum=20) | |
blink = gr.Slider(label="Blink", value=0, minimum=-20, maximum=5) | |
with gr.Row(): | |
eyebrow = gr.Slider(label="Eyebrow", value=0, minimum=-10, maximum=15) | |
wink = gr.Slider(label="Wink", value=0, minimum=0, maximum=25) | |
with gr.Row(): | |
pupil_x = gr.Slider(label="Pupil X", value=0, minimum=-15, maximum=15) | |
pupil_y = gr.Slider(label="Pupil Y", value=0, minimum=-15, maximum=15) | |
with gr.Row(): | |
aaa = gr.Slider(label="Aaa", value=0, minimum=-30, maximum=120) | |
eee = gr.Slider(label="Eee", value=0, minimum=-20, maximum=15) | |
with gr.Row(): | |
woo = gr.Slider(label="Woo", value=0, minimum=-20, maximum=15) | |
smile = gr.Slider(label="Smile", value=0, minimum=-0.3, maximum=1.3) | |
with gr.Accordion("More Settings", open=False): | |
src_ratio = gr.Number(label="Src Ratio", info='Source ratio', value=1) | |
sample_ratio = gr.Slider(label="Sample Ratio", info='Sample ratio', value=1, minimum=-0.2, maximum=1.2) | |
crop_factor = gr.Slider(label="Crop Factor", info='Crop factor', value=1.7, minimum=1.5, maximum=2.5) | |
output_format = gr.Dropdown(choices=['webp', 'jpg', 'png'], label="Output Format", info='Format of the output images', value="webp") | |
output_quality = gr.Number(label="Output Quality", info='Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.', value=95) | |
submit_btn = gr.Button("Generate", variant="primary") | |
with gr.Column(scale=1): | |
result_image = gr.Image(elem_classes="result-image", label="Generated Image") | |
gr.HTML(""" | |
<div style="text-align: center; margin-top: 20px;"> | |
<a href="https://pixio.myapps.ai" target="_blank"> | |
<button style="background-color: #4CAF50; border: none; color: white; padding: 15px 32px; text-align: center; text-decoration: none; display: inline-block; font-size: 16px; margin: 4px 2px; cursor: pointer; border-radius: 12px;"> | |
Go to Pixio | |
</button> | |
</a> | |
<p>Click the button above to visit Pixio</p> | |
</div> | |
""") | |
inputs = [image, rotate_pitch, rotate_yaw, rotate_roll, blink, eyebrow, wink, pupil_x, pupil_y, aaa, eee, woo, smile, src_ratio, sample_ratio, crop_factor, output_format, output_quality] | |
outputs = [result_image] | |
def login(password): | |
if check_password(password): | |
return gr.update(visible=True), gr.update(visible=False) | |
else: | |
return gr.update(visible=False), gr.update(visible=True, value="") | |
login_button.click( | |
fn=login, | |
inputs=[password], | |
outputs=[main_interface, password] | |
) | |
submit_btn.click( | |
fn=predict, | |
inputs=inputs, | |
outputs=outputs, | |
) | |
for slider in [rotate_pitch, rotate_yaw, rotate_roll, blink, eyebrow, wink, pupil_x, pupil_y, aaa, eee, woo, smile]: | |
slider.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal") | |
demo.launch(share=False, show_error=True) |