app.py

import gradio as gr
from diffusers import DiffusionPipeline

pipeline = DiffusionPipeline.from_pretrained("dataautogpt3/OpenDalleV1.1")

def generate_image(prompt):
    if prompt != '':
        image = pipeline.generate(prompt=prompt)
        return image
    else:
        return None

prompt_input = gr.textbox(input_type="area", label="Enter your prompt here:", default="Visualize a scene of a burning bonfire with the word '2023' clearly visible amidst the flames. Underneath the burning text, there is another, undamaged text that reads '2024'. The image should convey a sense of transition and change, with the old year being consumed by the fire and the new year emerging triumphant.")

gr.Interface(generate_image, inputs=gr.inputs.Textbox(lines=5), outputs=gr.outputs.Image(label="Generated Image")).launch()