main.py

from fastapi import FastAPI
import gradio as gr
import torch
from diffusers import DiffusionPipeline
import uvicorn

description = "Image generation with GPT-2"
title = "IMAGE GENERATION MACHINE"

pipeline3 = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", use_safetensors=False).to('cuda')
interface = gr.Interface(lambda x: pipeline3(x).images[0], 'textbox', 'image'
#             description=description,
#             examples=examples,
)
interface.launch(share = True)