app.py

import os
import gradio as gr
import requests
import base64
from io import BytesIO
from PIL import Image

def image_to_base64(image):
    buffered = BytesIO()
    image.save(buffered, format="PNG")
    return base64.b64encode(buffered.getvalue()).decode('utf-8')

def base64_to_image(base64_str):
    return Image.open(BytesIO(base64.b64decode(base64_str + '=' * (-len(base64_str) % 4))))

def search_face(file):
    url = os.environ.get("SERVER_URL")

    try:
        image = Image.open(file)
        image_base64 = image_to_base64(image)
        r = requests.post(url=url, json={"token": os.environ.get("ACCESS_TOKEN"), "type": "novip", "image": image_base64})
    except:
        raise gr.Error("Please select image file!")
    
    if r.text == "No matches":
        gr.Info("No images found.")
        return []
    
    try:
        res = r.json().get('img_array')
        out_array = []
        for item in res:
            out_array.append((base64_to_image(item["image"]), item["url"] + "*********"))
        return out_array
    except:
        raise gr.Error("Try again.")


with gr.Blocks() as demo:
    with gr.Row():
        with gr.Column(scale=1):
            image = gr.Image(type='filepath', height=480)
            gr.Examples(['examples/1.jpg', 'examples/2.jpg'], 
                        inputs=image)
            search_face_button = gr.Button("Search Face")
        with gr.Column(scale=2):
            output = gr.Gallery(label="Found Images", columns=[4], object_fit="contain", height="auto")

    search_face_button.click(search_face, inputs=[image], outputs=[output])

demo.launch(server_name="0.0.0.0", server_port=7860, show_api=False)