Google Gemini-Pro Chat Interface

Overview

This Python code provides a simple Streamlit interface for interacting with Google Gemini-Pro, a generative AI chat model. Users can have a conversation with the Gemini-Pro model, and the chat history is displayed along with the conversation input box.

Prerequisites

Before running the code, make sure to set up the required dependencies:

• Streamlit: The user interface is built using Streamlit, a popular Python library for creating web applications with minimal code.
• Google Gemini-Pro API: To use the Gemini-Pro model, you need to obtain an API key from Here and configure it using the GOOGLE_GEMINI_KEY environment variable.
• dotenv: The dotenv library is used for loading environment variables from a file.

Installation

1. Install the required Python packages using the following command:

   pip install streamlit google-generativeai python-dotenv

2. Create a .env file in the project directory and add your Google Gemini-Pro API key:

   GOOGLE_GEMINI_KEY=your_api_key_here

Usage

Run the Python script, and it will start a Streamlit web application with the Gemini-Pro chat interface.

streamlit run app.py

Open your web browser and navigate to the provided URL to begin chatting with Google Gemini-Pro.

Code Structure

• The Gemini-Pro API is configured using the provided API key.
• A Streamlit session state is used to maintain the chat history.
• The chat history is displayed above the current input box.
• User messages are sent to the Gemini-Pro model, and the assistant's responses are displayed.

Feel free to customize the code according to your needs or extend its functionality.

Note

Ensure that you use the Gemini-Pro API responsibly and comply with any terms of service provided by Google for using their generative AI models.