app.py

import gradio as gr
from transformers import pipeline

# Load a pre-trained image generation model
model = pipeline("text-to-image", model="stabilityai/stable-diffusion-2")

def generate_image(image, prompt):
    # Here, you can implement your logic to modify the image based on the text prompt
    # For simplicity, we are just generating an image from text
    generated_image = model(prompt)
    return generated_image[0]['image']

# Create a Gradio interface
iface = gr.Interface(
    fn=generate_image,
    inputs=[gr.inputs.Image(type="pil"), gr.inputs.Textbox(label="Enter your prompt")],
    outputs="image",
    title="Image Generation with Text Input"
)

iface.launch()