app.py

from flask import Flask, request, jsonify, send_file
import gradio as gr
from random import randint
from all_models import models
from externalmod import gr_Interface_load
import asyncio
import os
from threading import RLock
import io

app = Flask(__name__)

lock = RLock()
HF_TOKEN = os.environ.get("HF_TOKEN")

# Load the models
def load_fn(models):
    global models_load
    models_load = {}
    for model in models:
        if model not in models_load.keys():
            try:
                m = gr_Interface_load(f'models/{model}', hf_token=HF_TOKEN)
            except Exception as error:
                print(error)
                m = gr.Interface(lambda: None, ['text'], ['image'])  # Fallback
            models_load.update({model: m})

load_fn(models)

num_models = 6
MAX_SEED = 3999999999
default_models = models[:num_models]
inference_timeout = 600

# Async inference function
async def infer(model_str, prompt, seed=1, timeout=inference_timeout):
    kwargs = {"seed": seed}
    task = asyncio.create_task(asyncio.to_thread(models_load[model_str].fn, prompt=prompt, **kwargs, token=HF_TOKEN))
    await asyncio.sleep(0)
    try:
        result = await asyncio.wait_for(task, timeout=timeout)
    except (Exception, asyncio.TimeoutError) as e:
        print(e)
        print(f"Task timed out: {model_str}")
        if not task.done():
            task.cancel()
        result = None
    if task.done() and result is not None:
        with lock:
            png_path = "image.png"
            result.save(png_path)
        return png_path
    return None

# Flask API endpoint
@app.route('/async_infer', methods=['POST'])
def async_infer():
    data = request.get_json()
    model_str = data.get('model_str')
    prompt = data.get('prompt')
    seed = data.get('seed', 1)

    # Run the inference
    try:
        image_path = asyncio.run(infer(model_str, prompt, seed))
        if image_path:
            return send_file(image_path, mimetype='image/png')
        else:
            return jsonify({"error": "Image generation failed."}), 500
    except Exception as e:
        return jsonify({"error": str(e)}), 500

# Run the Flask app
if __name__ == '__main__':
    app.run(debug=True)