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https://github.com/aadeshkulkarni/sanchay-ai
Takes your video and generates video title, description, hashtags, transcription, subtitles and more.
https://github.com/aadeshkulkarni/sanchay-ai
generative-ai javascript object-store python rabbitmq whisper
Last synced: about 1 month ago
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Takes your video and generates video title, description, hashtags, transcription, subtitles and more.
- Host: GitHub
- URL: https://github.com/aadeshkulkarni/sanchay-ai
- Owner: aadeshkulkarni
- Created: 2023-12-13T03:42:06.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2024-05-16T11:55:17.000Z (7 months ago)
- Last Synced: 2024-11-07T15:24:20.693Z (about 2 months ago)
- Topics: generative-ai, javascript, object-store, python, rabbitmq, whisper
- Language: Python
- Homepage:
- Size: 37.8 MB
- Stars: 87
- Watchers: 3
- Forks: 18
- Open Issues: 8
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Metadata Files:
- Readme: README.md
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README
# Sanchay AI (A Generative AI app)
Upload your video and SanchayAI will generate key elements (video transcription, video subtitles, and video chapters) in an organized and easily accessible manner.
### Project Status and Contribution Potential
This project is in its infancy and has just been scaffolded with a new architecture. It's at a crucial stage where contributions can significantly shape its future and scalability. With the right environment and collaborative effort, it has the potential to evolve into something truly remarkable.
### System (In a nutshell)
### Requirements:
- MongoDB
- RabbitMQ
- Localstack
There are 2 apps:
1. web-app
- This is a fullstack NextJS app.
- The project depends on 3 services:
- RabbitMQ
- Localstack
- MongoDB
2. worker
- This is a Python based RabbitMQ worker that listens to request from web-app and processes them in the background.
- The project also depends on 3 services:
- RabbitMQ
- Localstack
- MongoDB
### Setup
Before setting up the codebase, it's important to setup the services the codebase depends on.
### Setup RabbitMQ locally
- If you have docker installed on your system, you can setup RabbitMQ using the command
- `docker run -it --rm --name rabbitmq -p 5672:5672 -p 15672:15672 rabbitmq:3.13-management`
- This will spinup RabbitMQ on localhost:15672 (default username/password = guest/guest)
> OR
- If you don't want to setup using docker, you can setup RabbitMQ by following steps [here](https://www.rabbitmq.com/docs/download)
### Setup MongoDB
- Recommended: Create a database cluster on https://cloud.mongodb.com/ for free and use the connection string
### Localstack
- Follow the guide mentioned here- https://app.localstack.cloud/getting-started
- Create a new bucket by running the command `aws s3 mb s3://sanchayai --endpoint-url=http://localhost:4566`
Once the above services are up, clone the sanchay-ai repository
### Worker setup
- cd into apps/worker folder
- follow readme instructions
- pip install
- python consumer.py
### Web-app setup
- cd into apps/web-app folder
- follow readme instructions
- npm install
- npm run dev
If all is working well,
- Your Web-app should be listening on `localhost:3000`
- Your Rabbit-MQ should be working on `http://localhost:15672/`
- Your localstack should be working on `http://localhost:4566` (nothing to display on chrome here)
You can run the app and upload a test video which is available in the codebase here - ./docs/video.mp4
