app.py

import requests
import os
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry
import json
import base64
import time
import gradio as gr
from PIL import Image
from io import BytesIO

host = "http://18.119.36.46:8888"

# 📂 Get the directory where the script is located
script_dir = os.path.dirname(os.path.abspath(__file__))

def image_prompt(prompt, image1, image2, image3, image4):
    source1 = open(image1, "rb").read()
    source2 = open(image2, "rb").read()
    source3 = open(image3, "rb").read()
    source4 = open(image4, "rb").read()
    
    params = {
        "prompt": prompt,
        "image_prompts": [
            {
                "cn_img": base64.b64encode(source1).decode('utf-8'),
                "cn_stop": 1,
                "cn_weight": 1,
                "cn_type": "ImagePrompt"
            },{
                "cn_img": base64.b64encode(source2).decode('utf-8'),
                "cn_stop": 1,
                "cn_weight": 1,
                "cn_type": "ImagePrompt"
            },{
                "cn_img": base64.b64encode(source3).decode('utf-8'),
                "cn_stop": 1,
                "cn_weight": 1,
                "cn_type": "ImagePrompt"
            },{
                "cn_img": base64.b64encode(source4).decode('utf-8'),
                "cn_stop": 1,
                "cn_weight": 1,
                "cn_type": "ImagePrompt"
            }
        ],
        "async_process": True
    }
    
    session = requests.Session()
    retries = Retry(total=5, backoff_factor=1, status_forcelist=[502, 503, 504])
    session.mount('http://', HTTPAdapter(max_retries=retries))

    response = session.post(
        url=f"{host}/v2/generation/text-to-image-with-ip",
        data=json.dumps(params),
        headers={"Content-Type": "application/json"},
        timeout=10  # Increase timeout as needed
    )
    result = response.json()
    
    job_id = result.get('job_id')
    return job_id

def query_status(job_id):
    session = requests.Session()
    retries = Retry(total=5, backoff_factor=1, status_forcelist=[502, 503, 504])
    session.mount('http://', HTTPAdapter(max_retries=retries))
    
    query_url = f"http://18.119.36.46:8888/v1/generation/query-job?job_id={job_id}&require_step_preview=true"
    response = session.get(query_url, timeout=10)  # Increase timeout as needed
    job_data = response.json()
    
    job_stage = job_data.get("job_stage")
    
    if job_stage == "SUCCESS":
        final_image_url = job_data.get("job_result")[0].get("url")
        if final_image_url:
            final_image_url = final_image_url.replace("127.0.0.1", "18.119.36.46")
            image_response = session.get(final_image_url, timeout=10)  # Increase timeout as needed
            image = Image.open(BytesIO(image_response.content))
            return image, "Job completed successfully."
        else:
            return None, "Final image URL not found in the job data."
    elif job_stage == "RUNNING":
        step_preview_base64 = job_data.get("job_step_preview")
        if step_preview_base64:
            image = Image.open(BytesIO(base64.b64decode(step_preview_base64)))
            return image, "Job is running, step preview available."
        return None, "Job is running, no step preview available."
    elif job_stage == "FAILED":
        return None, "Job failed."
    else:
        return None, "Unknown job stage."

def gradio_app():
    with gr.Blocks() as demo:
        prompt = gr.Textbox(label="Prompt", placeholder="Enter your text prompt here")
        with gr.Row():
            image1 = gr.Image(label="Image Prompt 1", type="filepath")
            image2 = gr.Image(label="Image Prompt 2", type="filepath")
            image3 = gr.Image(label="Image Prompt 3", type="filepath")
            image4 = gr.Image(label="Image Prompt 4", type="filepath")
        output_image = gr.Image(label="Generated Image")
        status = gr.Textbox(label="Status")
        
        job_id = gr.State()
        
        generate_button = gr.Button("Generate Image")
        generate_button.click(image_prompt, inputs=[prompt, image1, image2, image3, image4], outputs=job_id)
        
        def update_image(job_id):
            if job_id:
                image, status_text = query_status(job_id)
                return image, status_text
            return None, "No job ID found."
        
        # ⏲️ Update the image every 2 seconds
        demo.load(update_image, inputs=job_id, outputs=[output_image, status], every=2)
    
    demo.launch()

if __name__ == "__main__":
    gradio_app()