app.py

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

class SuperCanvas:
    def __init__(self, api_key):
        self.base = "https://api.supercanvas.ai/v1/run/dfd23676-575c-498a-84f4-10d19af1e65b"
        self.headers = {
            "accept": "application/json",
            "content-type": "application/json",
            "authorization": f"Bearer {api_key}"
        }
    
    def generate(self, prompt):
        payload = { "properties": {
            "user_prompt": prompt
        }}
        response = requests.post(self.base, json=payload, headers=self.headers)
        return response.json()

    def wait(self, job):
        job_result = job

        while job_result['status'] in ['running']:
            time.sleep(0.25)

        return job_result



supercanvas_client = SuperCanvas(api_key=os.getenv("SUPERCANVAS_API_TOKEN"))

def get_result(prompt):
    result = supercanvas_client.generate(prompt)

    job = supercanvas_client.wait(result["run_id"])

    return job["urls"][0]

css = """
#generate {
    height: 100%;
}
"""

with gr.Blocks(css=css) as demo:


    with gr.Row():
        with gr.Column(scale=1):
            gr.Markdown(elem_id="powered-by-supercanvas-ai", value="Powered by [SuperCanvas.AI](https://www.supercanvas.ai/).")

    with gr.Tab("Prompt"):
        with gr.Row():
            with gr.Column(scale=6, min_width=600):
                prompt = gr.Textbox("hogwarts school", placeholder="Prompt", show_label=False, lines=3)
            with gr.Column():
                text_button = gr.Button("Generate", variant='primary', elem_id="generate")
                
        with gr.Row():
                
            with gr.Column(scale=2):
                image_output = gr.Image(value="https://storage.googleapis.com/ai-pipeline-app.appspot.com/JGoawqXDF1x2zKuKXj8ZWg/95bdb06c-03a5-4902-a0a0-0d5a206f4ca1-0.png")

        text_button.click(get_result, inputs=[prompt], outputs=image_output)
    
demo.queue(concurrency_count=24)
demo.launch()