UpToDate-Shibu is an AI-powered Instagram automation bot that fetches trending tech news, transforms them into engaging carousel posts, and publishes them — completely hands-free. Now with support for scheduled posting and Docker deployment.

⚡️ Your intelligent, 24/7 Instagram content generator.

• 🔍 Auto-News Curation: Gathers trending and viral-worthy articles using the News API.
• 🤖 AI-Driven Content Generation: Uses Gemini (Google Generative AI) to create Instagram carousel slides with strong storytelling.
• 🖼️ Visual Image Matching: Automatically selects contextually relevant, unique images from Unsplash API.
• 📝 Dynamic Text Overlays: Applies well-styled, readable text over selected images using Pillow and custom fonts.
• ☁️ Cloud Upload: Uploads content to Cloudinary.
• 📲 Instagram Publishing: Posts directly to Instagram via Meta Graph API.
• 🕓 Automated Scheduling: Posts every 77 minutes (5 times/day) using a lightweight scheduler.
• 🐳 Dockerized: Runs seamlessly in a Docker container for cloud or local deployment.

UpToDate-Shibu/
├── fonts/
│   ├── Montserrat-Bold.ttf
│   └── Montserrat-Regular.ttf
├── input\_images/
├── output\_images/
├── uptodate\_shibu.py
├── scheduler\_runner.py
├── carousel.json
├── published\_articles.json
├── requirements.txt
├── .env
└── Dockerfile

Install Python dependencies locally using:

pip install -r requirements.txt

Or use Docker (see below).

Create a .env file in the root directory with the following:

NEWS_API_KEY=your_newsapi_key
IMAGE_API_KEY=your_unsplash_key
GEMINI_API_KEY=your_google_gemini_key
INSTAGRAM_ACCESS_TOKEN=your_meta_graph_token
IG_USER_ID=your_instagram_business_user_id

python uptodate_shibu.py

scheduler_runner.py handles scheduled posting:

# scheduler_runner.py
import schedule
import time
from uptodate_shibu import main

def job():
    print("Running AI Post Bot...")
    main()

# Schedule 5 posts per day (every 77 minutes)
schedule.every(77).minutes.do(job)

while True:
    schedule.run_pending()
    time.sleep(60)

Run it with:

python scheduler_runner.py

Build and run in a containerized environment:

FROM python:3.11

WORKDIR /app

COPY . /app

RUN pip install --no-cache-dir -r requirements.txt

CMD ["python", "scheduler_runner.py"]

docker build -t uptodate-shibu .
docker run --env-file .env uptodate-shibu

You can deploy this container to a VPS or cloud provider for continuous operation.

No personal or user data is shared with any 3rd-party services. Only news article metadata is sent to Gemini and API services.

MIT License

Created by Vishnuhari V A