app.py

import gradio as gr
import transformers
from transformers import pipeline

p = pipeline("text-generation", "EleutherAI/gpt-neo-1.3B")

im2caption = gr.Interface.load("spaces/akhaliq/CLIP_prefix_captioning")

def im2story(img):
    caption = im2caption(img, "COCO")
    if caption[-1] == ".":
        caption = caption[:-1]
    story = p(caption)[0]["generated_text"]
    return story

gr.Interface(im2story, gr.Image(type="filepath"), "text", title="Image 2 Story").launch()