PrePost
Explore tips to shield your social media posts from attackers, and discover exciting captions for your posts! We leverage state-of-the-art models like GPT-5 to help you plan before you post.
Core trick
Analyzes uploaded photos with a vision model to flag location-revealing clues, then suggests captions via GPT-5.
Description
$25
README excerpt
# PrePost: Plan before you post.
Explore tips to shield your post from attackers, and exciting captions for your post! We leverage state-of-the-art models like [GPT-5](https://aimlapi.com/models/gpt-5) to help you **plan before you post**.
Demo Video: [YouTube](https://www.youtube.com/watch?v=LYOtNX45sPc)
## Main Features
- Checks and flagging for possibly location-revealing clues in an uploaded image intended for Social media uploads
- Suggestions for cool and targeted captions for the corresponding social media posts.
## Set up
- First, populate API keys (and an Ollama server URL for local testing, if required) into `.env.example` and then run `cp .env.example .env`. For more details, please refer to the [AIML API Docs](https://docs.aimlapi.com/quickstart/setting-up?_gl=1*bcp25*_gcl_aw*R0NMLjE3NTYwNDMyMjcuQ2owS0NRanc4S3JGQmhEVUFSSXNBTXZJQXBZTWFLWGNrWWJjeWpaVW0tR3h5NC1QbUZ6STJHVHg0ekVDeWsyd0VfTlR3WFRELUxJQjIzRWFBcnlfRUFMd193Y0I.*_gcl_au*ODM1NzQ1MDE5LjE3NTU1MTAxODU.) and [OpenAI Docs](https://platform.openai.com/docs/guides/latest-model).
- Create a virtual environment and install the dependencies:
```bash
virtualenv venv
source venv/bin/activate
pip install -r REQUIREMENTS.txt
```
## Launching the app
```bash
cd streamlit_app/
streamlit run app.py
```
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Submitted to the Co-Creating with GPT-5 hackathon. Project Page: [Lablab.ai](https://lablab.ai/event/co-creating-with-gpt-5/prepost/prepost)