import gradio as gr
from diffusers import AutoPipelineForText2Image, DPMSolverMultistepScheduler
import torch
import matplotlib.pyplot as plt

# Load the model
def load_model():
    pipe = AutoPipelineForText2Image.from_pretrained('lykon/dreamshaper-xl-v2-turbo', torch_dtype=torch.float16, variant="fp16")
    pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
    pipe = pipe.to("cuda")
    return pipe

# Main function to generate image
def generate_image(prompt):
    pipe = load_model()
    generator = torch.manual_seed(0)
    image = pipe(prompt, num_inference_steps=6, guidance_scale=2).images[0]
    return image

# Define Gradio Interface
inputs = gr.inputs.Textbox(lines=5, label="Enter your text prompt")
output = gr.outputs.Image(label="Generated Image")

# Create Gradio Interface
gr.Interface(fn=generate_image, inputs=inputs, outputs=output, title="Text to Image Generation").launch()