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from fastapi import FastAPI, HTTPException, Body
from fastapi.middleware.cors import CORSMiddleware
import uvicorn
from pyngrok import ngrok
import os
from image_generator import generate_image
import base64
from io import BytesIO
import threading
import queue
app = FastAPI()
# Set up CORS
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
request_queue = queue.Queue()
result_queue = {}
def process_request():
while True:
request_id, data = request_queue.get()
try:
image = generate_image(
data['prompt'],
data['num_inference_steps'],
data['seed'],
data['guidance_scale'],
negative_prompt=data.get('negative_prompt')
)
buffered = BytesIO()
image.save(buffered, format="JPEG")
img_str = base64.b64encode(buffered.getvalue()).decode()
result_queue[request_id] = img_str
except Exception as e:
result_queue[request_id] = str(e)
finally:
request_queue.task_done()
@app.post('/generate')
def generate(
prompt: str = Body(...),
num_inference_steps: int = Body(default=30),
seed: int = Body(default=42),
guidance_scale: float = Body(default=1.0),
negative_prompt: str = Body(default=None),
scheduler_type: str = Body(default="LCM")
):
if not prompt:
raise HTTPException(status_code=400, detail="No prompt provided")
request_id = os.urandom(8).hex()
request_queue.put((request_id, {
'prompt': prompt,
'num_inference_steps': num_inference_steps,
'seed': seed,
'guidance_scale': guidance_scale,
'negative_prompt': negative_prompt,
'scheduler_type': scheduler_type
}))
return {'request_id': request_id}
@app.get('/result/{request_id}')
def get_result(request_id: str):
if request_id in result_queue:
result = result_queue.pop(request_id)
return {'image': result}
return {'status': 'processing'}, 202
@app.get('/get')
def get_status():
return {'status': 'Server is running'}
def start_ngrok():
ngrok_tunnel = ngrok.connect(8000)
print(' * Ngrok Tunnel URL:', ngrok_tunnel.public_url)
if __name__ == '__main__':
threading.Thread(target=process_request, daemon=True).start()
threading.Thread(target=start_ngrok, daemon=True).start()
uvicorn.run(app, host="0.0.0.0", port=8000)
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