https://github.com/agi-ceo/mixtralmarketer
https://github.com/agi-ceo/mixtralmarketer
Last synced: 8 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/agi-ceo/mixtralmarketer
- Owner: AGI-CEO
- Created: 2024-01-11T20:44:45.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-01T17:57:44.000Z (over 1 year ago)
- Last Synced: 2024-12-30T19:29:06.456Z (10 months ago)
- Language: JavaScript
- Homepage: https://mixtralmarketer.vercel.app
- Size: 78.1 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## AI Research Newsletter - Demo
#### By Blaise Pascual
This project is an advanced AI-based paper summarizer that leverages the power of Next.js and Vercel for seamless deployment and scalability. It automatically fetches AI-related papers, processes them using the Mixtral AI model, and provides concise summaries.
## Case Study
Placed 2nd in the inaugural Mixtral MoE Hackathon
(https://lablab.ai/event/mixtral-8x7b-24-hours-challenge/langlabs/automarketer)
See it in action LIVE as part of my marketing strategy for my AI startup https://longevity.so
### Tech Stack
The project is built using the following technologies:
- **Next.js**: A React framework for production, which enables server-side rendering and generating static websites for React based web applications.
- **Vercel**: A platform for frontend frameworks and static sites, optimized for Next.js, which provides features like serverless functions and edge caching.
- **Mixtral AI**: A sophisticated AI model that enhances the summarization process, ensuring high-quality, context-aware summaries of academic papers.
### Dependencies
Key dependencies include:
- `autoprefixer`: Parses CSS and adds vendor prefixes to CSS rules.
- `axios`: Promise-based HTTP client for the browser and Node.js.
- `cors`: Middleware to enable CORS with various options.
- `dotenv`: Loads environment variables from a .env file into `process.env`.
- `express`: Fast, unopinionated, minimalist web framework for Node.js.
- `langchain`: A language chain library for processing natural language.
- `node-cron`: Schedules cron-like jobs.
- `openai`: Official OpenAI API library.
- `pdf-parse`: Parses PDF files to extract text data.
- `postcss`: Transforms styles with JS plugins.
- `tailwindcss`: Utility-first CSS framework for rapid UI development.
- `xml2js`: Converts XML to JavaScript objects.
### Setup
Ensure you have Node.js installed. Clone the repository, navigate to the project directory, and run `npm install` to install dependencies.
Copy `.env.template` to `.env` and populate it with your API keys (`.env` is included in `.gitignore`).
### Running the Project
Execute `npm run dev` to start the development server with Next.js. By default, the server listens on port 3000, or you can specify a different port in the `.env` file.
### Deployment
The project is ready for deployment on Vercel, which provides a simple git integration for automatic deployments and CI/CD.
### License
This project is open-sourced under the MIT License. See the `LICENSE` file for more information.
### Connect with Me
For inquiries or suggestions, connect with me at [my portfolio](https://bio.blaisep.com).