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Gemini Bot is a Flask based chatbot app, powered by Gemini-Pro-Vision model from Google's Generative AI service.

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Introduction

Welcome to Gemini-Bot, your intelligent companion designed to revolutionize the way you interact with information. Leveraging the power of the Gemini AI platform, Gemini-Bot provides a seamless and intuitive interface for users to make both text and image queries. Whether you're looking for quick answers, detailed explanations, or visual insights, Gemini-Bot is here to assist you. With its advanced features like session storage and the use of the Fetch API for efficient server communication, Gemini-Bot ensures a smooth and engaging user experience. Get ready to explore a world of information at your fingertips with Gemini-Bot.

Features

  1. Text and Image Queries: Gemini-Bot allows users to make both text and image queries to the Gemini AI platform.
  2. Session Storage: User queries and corresponding answers are stored in the sessionStorage, ensuring that chats are retained even after page reloads.
  3. Fetch API: The Fetch API is used to send requests to the Flask server, enabling seamless communication without page reloads.

Getting Started

Requirements

  • Web browser (Chrome, Firefox, Safari, etc.)
  • Internet connection

Installation

  1. Clone the Gemini-Bot repository from GitHub.
    git clone https://github.com/yashksaini-coder/Gemini-Bot
  2. Navigate to the Gemini-Bot directory.
    cd Gemini-Bot
  3. Install the packages from requirements.txt
    pip install -r requirements.txt
  4. Run python app.py from your preferred terminal.

Usage

  1. Text Queries:

    • Enter your text query in the text input field.
    • Press the "Send" button or hit Enter to submit the query.
    • View the response from the Gemini AI platform in the chat interface.
  2. Image Queries:

    • Click the "Upload Image" button.
    • Select an image file from your device.
    • Enter your specific query for the image.
    • Wait for the response from the Gemini AI platform, which will be displayed in the chat interface.
  3. Session Storage:

    • User queries and responses are stored in sessionStorage.
    • This ensures that chats are retained even if the page is reloaded or navigated away from.
  4. Fetch API:

    • The Fetch API is used to send requests to the Flask server.
    • This communication method avoids page reloads, providing a smoother user experience.
  5. API Key:

    • Please obtain your own API key from the Gemini AI platform at https://ai.google.dev/.
    • Replace the placeholder API key in the (.env) file with your own API key for proper functionality.

    Contributing and Maintaining

    Thank you for your interest in contributing to the Gemini-Bot repository! Your contributions are highly appreciated. This document provides guidelines on how to contribute to the project and how to keep your fork up-to-date with the original repository.

    Contributing

    To contribute to the Gemini-Bot repository, please follow these steps:

    1. Fork the Repository: Click on the Fork button at the top right corner of the repository page. This will create a copy of the repository in your GitHub account.

    2. Clone the Repository: Clone the forked repository to your local machine using the following command:

      git clone https://github.com/your-username/Gemini-Bot.git

      Replace your-username with your GitHub username.

    3. Create a New Branch: Create a new branch for your changes using the following command:

      git checkout -b feature-branch-name

      Replace feature-branch-name with a descriptive name for your branch.

    4. Make Changes: Make your desired changes to the codebase.

    5. Commit Changes: Commit your changes using the following commands:

      git add .
      git commit -m "Describe your changes"
    6. Push Changes to GitHub: Push your changes to your forked repository on GitHub using the following command:

      git push origin feature-branch-name
    7. Create a Pull Request: Navigate to your forked repository on GitHub and click on the "Compare & pull request" button. Provide a descriptive title and detailed description of your changes, then submit the pull request.

    Keeping Your Fork Up-to-Date

    To keep your fork up-to-date with the original repository, follow these steps:

    1. Add the Original Repository as a Remote: Add the original repository as a remote to your local repository using the following command:

      git remote add upstream https://github.com/yashksaini-coder/Gemini-Bot
    2. Fetch Updates from the Original Repository: Fetch the latest updates from the original repository using the following command:

      git fetch upstream
    3. Merge Updates into Your Fork: Switch to the main branch of your local repository and merge the updates from the original repository using the following commands:

      git checkout main
      git merge upstream/main
    4. Push Updates to Your GitHub Fork: Push the updates to your forked repository on GitHub using the following command:

      git push origin main

Thank you for your contributions and happy coding! 🚀

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Gemini Bot is a Flask based chatbot app, powered by Gemini-Pro-Vision model from Google's Generative AI service.

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