File size: 2,117 Bytes
f06461c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
from flask import Flask, request, jsonify, send_file
from flask_cors import CORS
import os
from random import randint
from all_models import models
from externalmod import gr_Interface_load
import asyncio
from threading import RLock
# Initialize Flask app and enable CORS
app = Flask(__name__)
CORS(app)
lock = RLock()
HF_TOKEN = os.environ.get("HF_TOKEN")
# Load models into a global dictionary
models_load = {}
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)
models_load[model] = m
except Exception as error:
print(error)
models_load[model] = None # Handle model loading failures
load_fn(models)
inference_timeout = 600
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)
if task.done() and result is not None:
with lock:
png_path = "image.png"
result.save(png_path)
return png_path # Return the path of the saved image
except Exception as e:
print(e)
return None
@app.route('/generate', methods=['POST'])
def generate():
data = request.json
model_str = data.get('model')
prompt = data.get('prompt')
seed = data.get('seed', 1)
if model_str not in models_load or models_load[model_str] is None:
return jsonify({"error": "Model not found or not loaded"}), 404
image_path = asyncio.run(infer(model_str, prompt, seed, inference_timeout))
if image_path is not None:
return send_file(image_path, mimetype='image/png') # Send the generated image file
return jsonify({"error": "Image generation failed"}), 500
if __name__ == '__main__':
app.run(debug=True) |