Gen-AI-Multilingual-AI-Assistant

This repository implements a multilingual conversational AI assistant leveraging Gemini's large language model (LLM) capabilities. The user interface is built with Streamlit for a user-friendly web application. The assistant can be deployed on Amazon EC2 for scalable and accessible interaction.

Features:

• Multilingual support: Interact with the AI assistant in multiple languages (specify supported languages here).
• Powered by Gemini: Utilize Gemini's LLM capabilities for intelligent and engaging conversation.
• Streamlit UI: User-friendly interface for seamless interaction with the assistant.
• AWS EC2 deployment: Deploy the assistant on Amazon EC2 for scalability and accessibility.
• PaLM2
• s2t
• t2s

Project Structure:

• app.py: Contains Streamlit app code for building the user interface and interaction logic.
• src/helper.py: Facilitates communication with the Gemini LLM.
• requirements.txt: Lists dependencies required to run the project.

Flowchart of Project Deployement

How to run?

STEPS:

Clone the repository

Project repo: https://github.com/

STEP 01- Create a conda environment after opening the repository

conda create -n llmapp python=3.8 -y

conda activate llmapp

STEP 02- install the requirements

pip install -r requirements.txt

Create a .env file in the root directory and add your GOOGLE_API_KEY credentials as follows:

GOOGLE_API_KEY = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxx"

# Finally run the following command
streamlit run app.py

Now,

open up localhost: