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Gemini AI

Gemini AI is an advanced AI-powered web application that provides a suite of services, including a chatbot, image captioning, text embedding, and a Q&A feature. The application is built using Streamlit, leveraging the Gemini Pro model from Google’s generative AI capabilities.

Features

1. ChatBot

  • Engage with the Gemini Pro chatbot, capable of understanding and generating human-like text responses.
  • The chat history is displayed to maintain the conversation context.

2. Image Captioning:

  • Upload an image and receive a descriptive caption generated by the Gemini AI model.
  • Supports .jpg, .jpeg, and .png file formats.

3. Text Embedding:

  • Input text to generate embeddings useful for document retrieval and other NLP tasks.
  • Embeddings are displayed as a list of floating-point numbers.

4. Ask Me Anything:

  • Pose any question, and the Gemini AI model will generate an informative answer.

Project Structure

  • main.py: The main file that sets up the Streamlit app and handles navigation between the different services offered.
  • streamlit_util.py: Contains utility functions used across the Streamlit app for layout and styling.
  • gemini_util.py: Contains utility functions for interacting with the Gemini AI models, including loading models, generating captions, embedding text, and handling user prompts.

Setup and Installation

1. Clone the repository

git clone https://github.com/username/gemini-ai.git
cd gemini-ai

2. Install the required dependencies:

  • Ensure you have Python 3.8 or above. Install dependencies using pip.

    pip install -r requirements.txt

3. Set up your environment:

  • You'll need an API key from Google’s generative AI services. Set it up in your environment.

    export API_KEY='your_api_key_here'

4. Run the application:

  • Start the Streamlit app.

    streamlit run main.py

Usage

  • ChatBot: Select the "ChatBot" option from the sidebar to interact with the AI chatbot.
  • Image Captioning: Upload an image in the "Image Captioning" section to receive a descriptive caption.
  • Text Embedding: Enter a piece of text in the "Embed text" section to get embeddings.
  • Ask Me Anything: Pose a question in the "Ask Me Anything" section to get an answer.

Requirements

  • Python 3.8+
  • Streamlit
  • Pillow
  • Google Generative AI SDK
  • streamlit-option-menu

Check out requirements.txt for more details.

Deployment link

Check it out!

License

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