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import gradio as gr | |
import requests | |
import imageio | |
from PIL import Image | |
# Function to download image based on prompt | |
def download_image(prompt, index): | |
url = f"https://pollinations.ai/p/{prompt}" | |
response = requests.get(url) | |
image_filename = f'generated_image_{index}.jpg' | |
with open(image_filename, 'wb') as file: | |
file.write(response.content) | |
return image_filename | |
# Function to visualize each line of the story | |
def visualize_story_lines(story): | |
lines = story.split('\n') # Split story into lines | |
images = [] | |
for idx, line in enumerate(lines): | |
prompt = line.replace(" ", "_") # You can adjust prompt formatting | |
img_file = download_image(prompt, idx) | |
images.append(imageio.imread(img_file)) # Append image to list | |
# Create a GIF as a slideshow from the images | |
gif_filename = 'slideshow.gif' | |
imageio.mimsave(gif_filename, images, duration=1) # 1 second per image | |
return gif_filename | |
# Gradio interface | |
def visualize_story_slideshow(story): | |
return visualize_story_lines(story) | |
iface = gr.Interface(fn=visualize_story_slideshow, inputs="text", outputs="file") | |
iface.launch() |