code.py

#This code uses the tweepy library to authenticate with the Twitter API and retrieve the images from the user's timeline. It then saves the images to a local directory called "images." Next, it creates a list of Image objects for each image that meets certain criteria (in this case, the function meets_criteria is used to filter out images that don't match a certain set of criteria). Finally, it saves the list of frames as a GIF using the save method of the Image class, just like in the previous example.

import tweepy
from PIL import Image
import requests
import os

# Your Twitter API keys and secrets
consumer_key = "YOUR_CONSUMER_KEY"
consumer_secret = "YOUR_CONSUMER_SECRET"
access_token = "YOUR_ACCESS_TOKEN"
access_token_secret = "YOUR_ACCESS_TOKEN_SECRET"

# Authenticate with the Twitter API
auth = tweepy.OAuth1UserHandler(
    consumer_key,
    consumer_secret,
    access_token,
    access_token_secret
)
api = tweepy.API(auth)

# The screen name of the Twitter user whose images you want to use
screen_name = "USERNAME"

# Download the images from the user's timeline
if not os.path.exists("images"):
    os.makedirs("images")
for status in tweepy.Cursor(api.user_timeline, screen_name=screen_name).items():
    if "media" in status.entities:
        # Get the first image in the tweet
        image_url = status.entities["media"][0]["media_url"]
        # Download the image and save it to the "images" directory
        response = requests.get(image_url)
        open(f"images/{status.id}.jpg", "wb").write(response.content)

# Create the frames for the GIF
frames = []
for file in os.listdir("images"):
    # Filter out any images that don't match a certain criteria (e.g. width, height, etc.)
    if file.endswith(".jpg") and meets_criteria(file):
        frame = Image.open(f"images/{file}")
        frames.append(frame)

# Save the GIF
frames[0].save('animation.gif', format='GIF',
               append_images=frames[1:],
               save_all=True,
               duration=1000, loop=0)