Overview

This project implements a chatbot capable of interacting with PDF documents using OpenRouter AI API for language processing.

• Dark/Light mode support
• Modern and responsive UI
• Voice input support

Interface Preview

Installation

1. Clone the Repository

git clone https://github.com/noaft/Notebook_LLM.git
cd Notebook_LLM

2. Install Dependencies

Ensure you have Python installed, then run:

pip install -r requirements.txt

3. Set Up Environment Variables

Create a .env file in the project root and add your OpenRouter API key:

API_KEY=<your_openrouter_api_key>

Running the Application

To start the FastAPI server, use:

python -m uvicorn main:app --reload

This will launch the chatbot API locally.

Usage

Once the server is running, you can:

• Upload PDF files for analysis.
• Interact with the chatbot via API endpoints.

Dependencies

Ensure that requirements.txt is installed, containing necessary packages such as FastAPI and OpenAI API clients.

Notes

• The API key should be kept secure and not shared.
• The chatbot utilizes OpenRouter AI to process user queries.
• Ensure your environment supports FastAPI and uvicorn for local execution.

License

This project is licensed under MIT License.