JARVIS Assistant is a chat interface powered by advanced AI models, designed to assist users in natural language conversations. This repository contains the code for creating a chat interface that can be customized with various AI models.
JARVIS Assistant is a versatile chat interface that integrates with Hugging Face AI models to provide conversational AI capabilities. It offers a user-friendly interface to interact with AI models, and it can be configured with different models and data sources.
- Interactive chat interface.
- Customizable AI model selection.
- Support for various AI models, including GGUF and HF models.
- Data storage for training and conversations.
- Clear chat history.
- URL handling for website data collection.
Before you begin, ensure you have met the following requirements:
- Python 3.7 or higher installed.
- Install the required Python packages by running
pip install -r requirements.txt. - A Hugging Face API key (if you plan to use Hugging Face models).
- Clone this repository:
git clone https://github.com/praharshbhatt/jarvis-assistant.git
cd jarvis-assistant- Create a virtual environment (recommended):
python -m venv venv
source venv/bin/activate # On Windows, use venv\Scripts\activate- Install the required Python packages:
pip install -r requirements.txt- Set up your environment variables:
Create a .env file in the root directory. Add your Hugging Face API key as follows:
HUGGINGFACE_API_KEY=your_api_key_hereRun the app:
streamlit run main.py- Usage
- Choose a model from the model selection dropdown.
- Enter your query in the chat interface.
- Interact with the AI model in the chat interface.
You can customize the chat interface by modifying the main.py file. You can change the UI layout, add new models, or implement additional features to suit your needs.
This project is licensed under the terms of the MIT license. See the LICENSE file for more details.
Happy chatting with JARVIS Assistant!