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import gradio as gr | |
from transformers import eBart | |
import torch | |
# Load the eBart model | |
model = eBart.from_pretrained("dalle-mini/dalle-mega") | |
# Define a function to generate an image from text | |
def generate_image(prompt): | |
inputs = model.prepare_inputs_for_generation(prompt) | |
outputs = model.generate(inputs) | |
return outputs # You may need to convert it to a displayable image format depending on the model output | |
# Create Gradio interface | |
iface = gr.Interface( | |
fn=generate_image, # Function that takes a prompt and returns an image | |
inputs=gr.inputs.Textbox(lines=2, placeholder="Enter your prompt"), # Textbox input for the prompt | |
outputs="image", # Output is an image | |
title="eBart DALL-E Mega Image Generator", | |
description="Generate images from text prompts using the DALL-E Mega model." | |
) | |
# Launch the app | |
iface.launch() | |