This project involves creating and deploying a chatbot using Docker. The chatbot is built with the Gemini architecture and is designed to assist with various tasks and queries.

Table of Contents Project Overview Features Prerequisites Installation Usage Configuration Contributing License Project Overview The chatbot project is designed to provide an interactive conversational interface using advanced natural language processing capabilities. It leverages Docker to ensure a consistent and easily deployable environment.

Features Natural language understanding and generation Context-aware conversations Dockerized for easy deployment and scalability Configurable settings for customization Prerequisites Before you begin, ensure you have met the following requirements:

Docker installed on your machine Basic knowledge of Docker and Docker Compose Access to a machine with internet connectivity for downloading Docker images

Installation Clone the Repository:

bash Copy code git clone https://github.com/Maria-cpp/chatbot.git cd chatbot Build the Docker Image:

bash Copy code docker build -t chatbot-image . Run the Docker Container:

bash Copy code docker run -d -p 7860:7860 --name chatbot-container chatbot-image Usage Once the Docker container is up and running, you can interact with the chatbot via its API or web interface:

Web Interface: Open a web browser and go to http://localhost:7860 to use the web interface Configuration You can customize the chatbot by modifying the configuration file config.yaml in the project directory. Key settings include:

Model Parameters: Adjust parameters like temperature and max tokens API Endpoints: Configure API endpoints for different functionalities Logging: Set up logging preferences Contributing Contributions are welcome! To contribute:

Fork the project repository. Create a new branch for your feature or bug fix. Make your changes and commit them with clear messages. Push your changes to your fork. Submit a pull request to the main repository. License This project is licensed under the MIT License. See the LICENSE file for details.