Fillosophy 📝🤖

Overview 🌟

Fillosophy is a video processing and transcription platform designed to help users automatically extract and manage transcripts from video recordings. It combines advanced AI capabilities with a user-friendly interface to provide accurate video transcriptions that can be used for various applications such as visa applications, documentation, and content creation.

Check out the Devpost!

Prerequisites 📋

• 🐍 Python 3.13+
• 💻 Node.js 18+ and npm
• 🔑 Google Gemini API key
• 🤖 OpenAI API key
• 🦙 Llama Cloud API key

Backend Setup ⚙️

1. Clone the repository

   git clone https://github.com/jask1m/fillosophy.git
   cd fillosophy

2. Set up Python virtual environment

   cd backend
   python -m venv venv
   
   # On Windows
   .\venv\Scripts\activate
   
   # On macOS/Linux
   source venv/bin/activate

3. Install dependencies

   pip install -r requirements.txt

4. Create environment variables file

   cp .env.example .env

5. Add your API keys to the .env file

   GEMINI_API_KEY="your_gemini_api_key"
   OPENAI_API_KEY="your_openai_api_key"
   LLAMA_CLOUD_API_KEY="your_llama_api_key"
   LLAMA_CLOUD_BASE_URL="your_llama_base_url"
   GOOGLE_API_KEY="your_google_api_key"

6. Run the backend server

   python run.py

   The backend will be available at http://localhost:8000 🚀

Frontend Setup 🎨

1. Navigate to the frontend directory

   cd ../frontend

2. Install dependencies

   npm install

3. Create environment variables file

   cp .env.example .env

4. Run the development server

   npm run dev

   The frontend will be available at http://localhost:3000 🌐

Usage 📱

1. Open your browser and navigate to http://localhost:3000
2. Use the dashboard to upload video recordings
3. After processing, view and manage transcriptions
4. Process transcriptions with document templates as needed

Project Structure 📁

• /backend - FastAPI backend server and AI integration
  • /data - Storage for transcriptions and processed files
  • /videos - Storage for uploaded video files
• /frontend - Next.js React frontend application
  • /src - Source code for the frontend