https://github.com/surendrab28/converse-with-gemini
It is a simple chat application that enables users to interact with an AI using Gemini AI Studio API.
https://github.com/surendrab28/converse-with-gemini
api-integration gemini-ai java rest-api spring-boot
Last synced: over 1 year ago
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It is a simple chat application that enables users to interact with an AI using Gemini AI Studio API.
- Host: GitHub
- URL: https://github.com/surendrab28/converse-with-gemini
- Owner: surendrab28
- Created: 2024-11-03T11:26:34.000Z (over 1 year ago)
- Default Branch: Master
- Last Pushed: 2024-11-03T11:51:58.000Z (over 1 year ago)
- Last Synced: 2025-03-05T14:21:42.395Z (over 1 year ago)
- Topics: api-integration, gemini-ai, java, rest-api, spring-boot
- Language: HTML
- Homepage:
- Size: 316 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Converse with Gemini
## Description
**Converse with Gemini** is an interactive AI-driven application that enables users to engage in conversations with an AI powered by the Gemini AI Studio API. Built with a Spring Boot backend and a simple HTML, CSS, and JavaScript frontend, the app offers a user-friendly interface to input questions or prompts and receive AI-generated responses. This project demonstrates how to integrate a conversational AI API in a clean and accessible UI, making it useful for developers interested in AI, chatbot applications, or conversational UX design.
## Table of Contents
- [Installation](#installation)
- [Usage](#usage)
- [Features](#features)
- [Contributing](#contributing)
## Installation
Follow these steps to set up the **Converse with Gemini** project locally:
### Clone the Repository
```bash
git clone https://github.com/surendraguna/converse-with-gemini.git
```
### Set Up the Backend (Spring Boot):
1. **Open the project in Visual Studio Code**:
- Open VS Code and go to `File` > `Open Folder...`, then select the project folder (`converse-with-gemini`).
2. **Make sure you have Java and Maven installed** on your machine.
3. **Install the following VS Code extensions** if you haven't already:
- Java Extension Pack
- Spring Boot Extension Pack
4. **Add your Gemini AI Studio API key in** `src/main/resources/application.properties`:
```bash
gemini.api.key=YOUR_API_KEY
```
### Run the Application:
1. In the terminal, navigate to the project’s root directory.
2. Use Maven to run the Spring Boot application:
```bash
mvn spring-boot:run
```
### Access the Applicaiton:
- Open your browser and got to `http:/localhost:8080` to see the UI.
## Usage
1. Open the application in a web browser.
2. Type a question or prompt into the input field.
3. Click **Submit** to send your prompt to the AI.
4. The AI response will appear below the input field.
### Example:
```bash
User Prompt: "Tell me about the solar system."
AI Response: "The solar system consists of the Sun and the objects that orbit it..."
```
## Features
- **Real-time AI Responses**: Send prompts and get responses from the Gemini AI.
- **Simple UI**: User-friendly interface built with HTML, CSS, and JavaScript.
- **Spring Boot Backend**: Efficient and secure communication between the frontend and AI API.
- **Gemini AI Integration**: Uses the Gemini AI Studio API for conversational AI capabilities.
## Contributing
Contributions are welcome! Follow these steps if you wish to contribute:
1. Fork the repository.
2. Create a new branch (`git checkout -b feature-name`).
3. Commit your changes (`git commit -m 'Add new feature'`).
4. Push to the branch (`git push origin feature-name`).
5. Open a pull request for review.