Google Gemini Chatbot Interface

This project is a Python-based interface to interact with the Google Gemini API. The interface allows users to upload files to Gemini. It also lets them initialize a chat session and send messages to the AI.

Features

• File Upload: Easily upload files to the Gemini API for chat context.
• Chat Initialization: Configure a chat session with adjustable parameters like temperature and token limits.
• Chat Interaction: Send messages to the Gemini API and receive responses directly in the console.

Getting Started

Follow these steps to set up the project and start interacting with the Google Gemini API.

Prerequisites

Before you begin, ensure you have the following installed on your machine:

• Python 3.x
• Virtual environment tool (venv)
• A valid API key for the Google Gemini API.

1. Get Your Google Gemini API Key

To use this project, you need an API key from Google for the Gemini API. Follow these steps to obtain your API key:

1. Visit the Google Cloud Console.
2. If you don't already have a project, create a new one.
3. In the sidebar, navigate to "APIs & Services" > "Credentials."
4. Click on "Create Credentials" and select "API key."
5. Copy the API key that is generated. You'll need this to interact with the Gemini API.

2. Clone the Repository

First, clone the repository to your local machine:

# Clone the repository
git clone https://github.com/ahmetsezginn/gemini-chatbot-interface.git
cd gemini-chatbot-interface

3. Set Up a Virtual Environment

It's recommended to use a virtual environment to keep your project dependencies isolated. You can create and activate it with the following commands:

# Create a virtual environment
python -m venv venv

# Activate the virtual environment
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

4. Install Dependencies

Install the required Python libraries by running:

pip install -r requirements.txt

5. Set Up Your API Key

You need to set your Google Gemini API key as an environment variable. You can do this by running the following command in your terminal:

export GENAI_API_KEY='your_api_key_here'

On Windows, use:

set GENAI_API_KEY='your_api_key_here'

Alternatively, you can directly replace the self.api_key in the Model class with your API key.

6. Running the Project

After setting up the environment and dependencies, you can run the chatbot interface:

python main.py

This will initiate a chat session with the Gemini API, and you'll be able to interact with it by sending messages.

Example: Uploading a File

To upload a file to the Gemini API, you can modify the upload_to_gemini method and provide the correct file paths. The file will be available for use in your chat sessions.

Contributing

Feel free to fork this project and contribute! Pull requests are welcome.

License

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

Requirements

requirements.txt

google-generativeai