import gradio as gr from filters import as_gray def process(input_image): output_image = as_gray(input_image) return output_image demo = gr.Interface( process, "image", "image", examples=["lion.jpg", "logo.png"], ) demo.launch()

from skimage.color import rgb2gray def as_gray(image): return rgb2gray(image)

# Same syntax as requirements.txt scikit-image

```html Hospital Queue Tracker

🏥

Hospital Queue Tracker

Check your estimated waiting time before meeting the doctor

🔎 Find Hospital & Queue

📍 District

🏨 Hospital Type

🏥 Hospital Name

Hospitals are grouped according to towns within the selected district.

👤 Patient Name

Initial + space + name. Example: T Kumar

🆔 Patient ID

Exactly 6 numbers

🎫 Token Number

Maximum 3 digits

👨‍⚕️ Doctor Name

Full doctor name only. Initial is not allowed.

🕐 Hospital Service Hours
8:00 AM – 9:00 PM

● Service Hours

📊 Queue Status

Selected Hospital

-

Patient -

Token -

Doctor -

ESTIMATED WAITING TIME

0 hrs 0 mins

Please wait for your turn.

Queue Progress 0%

Hospital Type -

Patient ID -

Current Token -

Patients Ahead -

Consultation Time -

Expected Doctor Time -

⚠️ This is an estimated waiting time. Emergency cases, doctor availability and actual consultation duration may change the waiting time.

```