💠 UnravelAI

UnravelAI is an innovative multi-functional AI platform that provides services such as a chatbot for conversational AI, image analysis, and more. With support for multiple languages, users can interact with the system either via text or voice, allowing for a seamless experience.

🚀 Features

• Chatbot: Engage with an AI-powered chatbot for answering questions and generating responses based on user input.
• Image Analysis: Upload images and receive proper analysis describing the content of the images.
• Voice Interaction: Record voice input, which is then transcribed and processed to generate responses.
• Multilingual Support: Supports various languages, including English, Hindi, Urdu, French, and more.
• User-Friendly Interface: Built with a modern UI using Streamlit, making it easy for users to interact with the AI.

🛠️ Technologies Used

• Python: Backend logic and AI models.
• Streamlit: For the frontend UI.
• Audio Recorder Streamlit: Used for voice input functionality.
• Pillow (PIL): Image handling and analysis.
• Gemini API: AI language model for generating responses.
• Other Python Libraries:
  • os for file handling
  • tempfile for creating temporary files
  • streamlit_option_menu for the sidebar menu
  • streamlit_util for utility functions like headers and other custom components

📦 Installation

To run the project locally, follow these steps:

Prerequisites

1. Python 3.x
2. Streamlit
3. Other required dependencies

Check out requirements.txt for more details.

Steps

1. Clone the Repository

   git clone https://github.com/NK-Works/UnravelAI.git
   cd UnravelAI

2. Create a Virtual Environment

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install Dependencies

   pip install -r requirements.txt

4. Set Up Secrets Create a .streamlit/secrets.toml file and add your API keys:

   [gemini]
   api_key = "YOUR_API_KEY_HERE"

   Get your api_key from here for free.

5. Run the App

   streamlit run main.py

📈 License

This project is licensed under the MIT License. Check the LICENSE file for more details.