grcp chatmodel with mcp server model integrated with gemini model 5o-flash
Overview
what is the Chatbot Assistant with Gemini + gRPC?
This project is a simple chatbot backend powered by Google's Gemini API and uses gRPC for client-server communication. It maintains context per session and provides interactive conversational experiences.
how to use the Chatbot Assistant?
- Install dependencies using
pip install -r requirements.txt. - Set up your environment by creating a
.envfile with your Gemini API key. - Run the server with
python server.py. - Run the client with
python client.py.
key features of the Chatbot Assistant?
- gRPC-based communication
- Google Gemini API integration
- Session-based context management
- Clean modular design (client, server, context manager, inference engine)
use cases of the Chatbot Assistant?
- Building interactive chatbots for customer support.
- Creating conversational agents for educational purposes.
- Developing personal assistants that can maintain context across sessions.
FAQ from the Chatbot Assistant?
- What programming language is used?
Python is used for this project.
- How does the context management work?
The chatbot maintains context per session, allowing for more coherent conversations.
- Is there a graphical interface?
No, this project is a backend service and requires a client to interact with it.