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This repository contains code for a Streamlit web application that leverages Google's Generative AI model (Gemini Pro) to answer questions based on user input.

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KalyanM45/Getting-Started-with-Gemini

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Getting-Started-with-Gemini

This repository contains code for a Streamlit web application that leverages Google's Generative AI model (Gemini Pro) to answer questions based on user input. The app allows users to input questions and receive generated responses from the model. It integrates with the Google Generative AI API and provides a simple and interactive interface for exploring the capabilities of the model.

Key Features:

Streamlit web application for question answering. Integration with Google's Generative AI (Gemini Pro). User-friendly interface for inputting questions and receiving model-generated responses. Usage:

Clone the repository. Set up environment variables using a .env file (refer to .env.example). Run the Streamlit app using the provided Python script. Enter questions, click submit, and explore the generated responses. Requirements:

Python Streamlit Google Generative AI API key (configured in the .env file)

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This repository contains code for a Streamlit web application that leverages Google's Generative AI model (Gemini Pro) to answer questions based on user input.

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