jeddineo/geminichatbot

ChatBot using Gemini API with MongoDB Integration and Docker Deployment

ChatBot using Gemini API with MongoDB Integration and Docker Deployment

This project aims to create a ChatBot using the Gemini API for natural language processing. The conversations with the ChatBot will be stored in a MongoDB database for future reference and analysis. Additionally, the project utilizes Docker to containerize the ChatBot application and MongoDB, enabling easy deployment and communication between the two containers.

Features

• Utilizes Gemini API for natural language processing and ChatBot functionality.
• Stores conversations in a MongoDB database for persistence and analysis.
• Dockerized deployment for easy setup and management.
• Enables communication between the ChatBot application and MongoDB container.

Technologies Used

• Gemini API
• MongoDB
• Docker

Setup Instructions

1. Clone the repository from GitHub:

git clone https://github.com/JeddineO/GeminiChatbot.git

2. Navigate to the project directory:

cd GeminiChatbot

3. Set up Gemini API credentials:

   • Obtain API credentials from Gemini and replace them in the appropriate configuration file (e.g., app.js).

4. Configure MongoDB connection:

   • Update the MongoDB connection settings in the ChatBot application to point to your MongoDB instance.

5. Build Docker containers:

   • Use Dockerfile(s) provided in the repository to build Docker images for both the ChatBot application and MongoDB container.

6. Run Docker containers:

   • Start both Docker containers, ensuring they can communicate with each other.

7. Test the setup:

   • Interact with the ChatBot to verify its functionality and ensure conversations are being stored in MongoDB.

Usage

• Once the setup is complete, users can interact with the ChatBot using predefined commands or natural language input.
• Conversations will be stored in the MongoDB database, allowing for analysis and retrieval of past interactions.

Contribution Guidelines

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make changes and commit them with descriptive commit messages.
4. Push your changes to your fork.
5. Submit a pull request to the main repository's master branch.