import threading
from api import app
import gradio as gr
import torch
import numpy as np
from diffusers import DiffusionPipeline
from transformers import pipeline

def run_fastapi():
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=7860)

# FastAPI را در یک رشته جداگانه اجرا کنید
threading.Thread(target=run_fastapi).start()

# ادامه کد Gradio همانطور که قبلا بوده

# تعریف مثال
example = [["sexy woman", True, 2, 398231747038484200, ""],
           # بقیه مثال‌ها
          ]

with gr.Interface(
    fn=genie,
    inputs=[input_text, details_checkbox, steps_slider, seed_slider, cuda_checkbox],
    outputs=[output_image, output_text],
    title="Stable Diffusion Turbo with GPT",
    description="Type your text and lets create an image, check the box details if you want a creative picture",
    examples=example,
) as iface:
    iface.launch(inline=True, show_api=False, max_threads=200)