StreamRAG ?
Video Search Agent for ChatGPT ♂️
Watch Demo Video
·
?Report a Bug
·
Suggest a Feature
StreamRAG: GPT-Powered Video Retrieval & Streaming
StreamRAG.Demo.mp4
What does it do? ?
It enables developers to:
- Upload multiple videos to create a library or collection.
- ? Search across these videos and get real-time video responses or compilations.
- ? Publish your searchable collection on the ChatGPT store.
- Receive summarized text answers (RAG).
- ? Gain key insights from specific videos (e.g. "Top points from episode 31").
How do I use it?
Watch: Code walkthrough
- Get your API key: Sign up on VideoDB console (Free for the first 50 uploads, no
credit card required). ?
- Set
VIDEO_DB_API_KEY: Enter your key in the env file.
- Install dependencies: Run
pip install -r requirements.txt in your terminal.
- Upload your collection to VideoDB: Add your links in
upload.py.
- Run locally: Start the flask server with
python app.py.
Publishing on ChatGPT Store ?
Watch: Create New GPT
- Deploy your flask server and note your server's
url.
- In
openapi.yaml, update the url field under server.
- Visit the GPT builder at https://chat.openai.com/gpts/editor
- In the configure tab, add your GPT's
Name and Description.
- Copy the prompt from
prompts.txt into the Instructions field. Feel free to modify it as needed. ✏️
- Click on
Create new Action
- Copy the openapi details from
openapi.yaml Don't miss to update the url field.
- Save your GPT for personal use and give it a test run! ?
Roadmap ?️
- Add support for popular backend deployment CD pipelines like
Heroku, Replit, etc.
- Integrate with other data sources like
Dropbox, Google Drive.
- Connect with meeting recorder APIs such as
Zoom, Teams, and Recall.ai.
Contributing ?
Your contributions make the open-source community an incredible place for learning, inspiration, and creativity. We
welcome and appreciate your input! Here's how you can contribute:
- Open issues to share your use cases.
- Participate in brainstorming solutions for our roadmap.
- Suggest improvements to the codebase.
Contribution Steps
- Fork the Project ?
- Create your Feature Branch (
git checkout -b feature/AmazingFeature)
- Commit your Changes (
git commit -m 'Add some AmazingFeature')
- Push to the Branch (
git push origin feature/AmazingFeature)
- Open a Pull Request ?
