File size: 6,274 Bytes
9547b79 5980c33 9547b79 5980c33 9547b79 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 |
import gradio as gr
import sys
import os
# Add the dist directory to Python path
sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'dist'))
# Import obfuscated module
try:
from core_logic import *
except ImportError as e:
print(f"Error: Obfuscated module not found: {e}")
print("Current directory:", os.getcwd())
print("Files in dist:", os.listdir('dist') if os.path.exists('dist') else 'dist not found')
sys.exit(1)
# Initialize the processor
processor = DocumentProcessor()
def check_id(frame):
return processor.check_id(frame)
def check_bank(frame):
return processor.check_bank(frame)
def check_mrz(frame):
return processor.check_mrz(frame)
def open_whatsapp():
import webbrowser
phone_number = "+19162702374" # Replace with your actual phone number
message = "Hello! I'm interested in your ID Document Recognition API service."
whatsapp_url = f"https://wa.me/{phone_number}?text={message}"
webbrowser.open(whatsapp_url)
return "WhatsApp opened in your browser!"
# Company information
COMPANY_INFO = """
## About US
### MiniAiLive is a global leader in touchless biometric authentication and identity verification solutions. We deliver robust, cutting-edge technologies including facial recognition, liveness detection, palmprint and palm vein recognition, as well as ID document verification.
### Our solutions are designed for seamless integration with existing client systems, ensuring both enhanced security and operational efficiency.
"""
custom_css = """
.button-gradient {
background: linear-gradient(45deg, #ff416c, #ff4b2b, #ff9b00, #ff416c);
background-size: 400% 400%;
border: none;
padding: 14px 28px;
font-size: 16px;
font-weight: bold;
color: white;
border-radius: 10px;
cursor: pointer;
transition: 0.3s ease-in-out;
animation: gradientAnimation 2s infinite linear;
box-shadow: 0 4px 10px rgba(255, 65, 108, 0.6);
}
@keyframes gradientAnimation {
0% { background-position: 0% 50%; }
25% { background-position: 50% 100%; }
50% { background-position: 100% 50%; }
75% { background-position: 50% 0%; }
100% { background-position: 0% 50%; }
}
.button-gradient:hover {
transform: scale(1.05);
box-shadow: 0 6px 15px rgba(255, 75, 43, 0.8);
}
"""
# APP Interface
with gr.Blocks(css=custom_css) as MiniAIdemo:
gr.Markdown(
"""
<a href="https://miniai.live" style="display: flex; align-items: center;">
<img src="https://miniai.live/wp-content/uploads/2024/02/logo_name-1-768x426-1.png" style="width: 10%; margin-right: 15px;"/>
<div>
<p style="font-size: 50px; font-weight: bold; margin-right: 20px;">ID Document Recognition Playground</p>
</div>
</a>
"""
)
gr.Markdown(COMPANY_INFO)
# Contact Us section
with gr.Row():
with gr.Column(scale=7):
pass
with gr.Column(scale=3):
whatsapp_status = gr.Textbox(label="Status", visible=False)
whatsapp_btn = gr.Button("� Contact Us on WhatsApp", elem_classes="button-gradient")
whatsapp_btn.click(open_whatsapp, outputs=whatsapp_status)
with gr.Tabs():
with gr.Tab("ID Document Recognition"):
with gr.Row():
with gr.Column(scale=3):
im_id_in = gr.Image(type='filepath', height=300)
gr.Examples(
[
"images/id/demo1.jpg",
"images/id/demo2.png",
"images/id/demo3.png",
],
inputs=im_id_in
)
btn_f_id = gr.Button("Check Document Details", elem_classes="button-gradient")
with gr.Column(scale=5):
table_id_out = gr.HTML()
with gr.Column(scale=2):
im_id_out = gr.HTML()
btn_f_id.click(check_id, inputs=im_id_in, outputs=[table_id_out, im_id_out])
with gr.Tab("Bank/Credit Recognition"):
with gr.Row():
with gr.Column(scale=3):
im_bank_in = gr.Image(type='filepath', height=300)
gr.Examples(
[
"images/bank/demo1.jpg",
"images/bank/demo2.png",
"images/bank/demo3.png",
],
inputs=im_bank_in
)
btn_f_bank = gr.Button("Check Document Details", elem_classes="button-gradient")
with gr.Column(scale=5):
table_bank_out = gr.HTML()
with gr.Column(scale=2):
im_bank_out = gr.HTML()
btn_f_bank.click(check_bank, inputs=im_bank_in, outputs=[table_bank_out, im_bank_out])
with gr.Tab("MRZ/Barcode Recognition"):
with gr.Row():
with gr.Column(scale=3):
im_mrz_in = gr.Image(type='filepath', height=300)
gr.Examples(
[
"images/mrz_barcode/demo1.png",
"images/mrz_barcode/demo2.png",
],
inputs=im_mrz_in
)
btn_f_mrz = gr.Button("Check Document Details", elem_classes="button-gradient")
with gr.Column(scale=5):
table_mrz_out = gr.HTML()
with gr.Column(scale=2):
im_mrz_out = gr.HTML()
btn_f_mrz.click(check_mrz, inputs=im_mrz_in, outputs=[table_mrz_out, im_mrz_out])
gr.HTML('<a href="https://visitorbadge.io/status?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FMiniAiLive%2FID-Document-Recognition-Demo"><img src="https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FMiniAiLive%2FID-Document-Recognition-Demo&label=VISITORS&labelColor=%2337d67a&countColor=%23ff8a65&style=plastic&labelStyle=none" /></a>')
if __name__ == "__main__":
MiniAIdemo.launch(
show_api=False,
server_name="0.0.0.0",
server_port=7860
) |