app.py

import gradio as gr
import sys
# sys.path.append("LaVi-Bridge/test")
# from llama2_unet_diffusion_lens import call_diffusion_lens
from diffusion_lens import get_images
import gradio as gr
import os
import subprocess



def display_images(images):
    # Prepare images for display
    return [gr.Image(image) for image in images]

def get_prompt(prompt):
    print('prompt:', prompt)
    return prompt



def generate_images(prompt):
    print('calling diffusion lens')
    for skip_layers in range(23, 0, -1):
        images = get_images(prompt, skip_layers=skip_layers)
        yield gr.Image(images[0])  # Yield each image as soon as it's ready

with gr.Blocks() as demo:
    text_input = gr.Interface(fn=generate_images, inputs="text", outputs="image")
demo.launch()