This project is a LinkedIn roast generator built on Next.js, Supabase, and utilizing OpenAI TTS (Text-to-Speech) API Learn more and LLaVA Model Learn more. The roast generator takes a user's LinkedIn profile information and generates humorous and lighthearted roasts based on their profile.

• LinkedIn Profile Integration: Connect your LinkedIn profile to the roast generator to fetch your linkedin profile.

• Roast Generation: Utilize OpenAI's OpenAI TTS (Text-to-Speech) and LLaVA Model to generate witty and humorous roasts tailored to the user's LinkedIn profile.

• Personalization: Customize the roasts based on the user's specific details (optional).

• Interactive User Interface: Enjoy a sleek and user-friendly interface built with Next.js for seamless navigation and interaction.

1. Clone the Repository:

   git clone https://github.com/Maianki/linkedin-roast.git 

2. Install dependencies:

   cd linkedin-roast
   npm install
   

3. Set Up Supabase and add your openai secret and replicate secret:

• Sign up for a Supabase account and create a new project.
• Set up authentication and database services in your Supabase project.
• Update the .env.local file with your Supabase, openai and replicate credentials.

4. Run the project:

   npm install
   
   

This project is licensed under the MIT License - see the LICENSE file for details.