End-to-End Gemini-LLM Deployment

Google Gemini Streamlit Application

Project Overview

This project is a web application built using Streamlit that leverages Google Gemini’s generative AI model to create a Q&A interface. The app allows users to input text or both text and images to receive intelligent responses from the Gemini model in real-time.

Key Features:

• Text Input Tab: Users can submit text queries and receive AI-generated responses.
• Text & Image Input Tab: Users can upload images along with text to generate multimodal responses.
• Gemini Model Integration: The app uses Google's Gemini-1.5-flash model for robust natural language and image-based interaction.

How It Works:

• Google Gemini API: The app is connected to Google Gemini’s API using a valid API key for content generation.
• Streamlit: The web interface is built using Streamlit, offering an easy-to-use experience with separate tabs for different input types.

Requirements

• Python 3.8+
• Streamlit
• Google Gemini API Key
• Python dependencies listed in requirements.txt

App Snapshot