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AgriGenius: AI-Powered Agriculture Chatbot

Project Overview

AgriGenius: AI-Powered Agriculture Chatbot is a Python web application designed to empower farmers with information accessibility. AgriGenius leverages a Retrieval-Augmented Generation model to address farmer's agricultural queries. The RAG model retrieves the most relevant information from a comprehensive repository of agricultural websites and PDF documents and utilizes that information to generate informative and comprehensive responses tailored to each user's specific question with precise answers.

Features

  • Fetch content from specified websites.
  • Extract text from PDF files.
  • Initialize a vector store for efficient information retrieval.
  • Set up a Retrieval QA chain using a language model to answer queries related to agriculture.
  • Web interface to interact with the system.

Installation

Run the following Commands.

STEP 1 - Creating virtual enviroment : To do so:-

  pip install virtualenv
  virtualenv env
  .\env\Scripts\activate.ps1

STEP 2 - Cloning the Repository :

    git clone https://github.com/jayeshbhandarkar/AgriGenius.git
    cd AgriGenius

STEP 3 - Installing all the Dependancies :

    pip install -r requirements.txt

STEP 4 - Run the flask web application

    python app.py

STEP 5 - Open Web-Browser (Chrome) and navigate to http://127.0.0.1:5000 to use this web-application.

STEP 6 - Ask questions related to agriculture in the provided input field.

Screenshot

  • AgriGenius ChatBot Interface

Main Interface

Additional Notes

  • The language model used is meta-llama/Llama-2-70b-chat-hf.
  • The application uses the Together API for LLM services.
  • Add your own Together API key in the chat2.py file.
llm = Together(
	model="meta-llama/Llama-2-70b-chat-hf",
	max_tokens=512,
	temperature=0.1,
	top_k=1,
	together_api_key="YOUR_Together_API_KEY"
)
  • The requirements.txt should include all necessary packages such as Flask, requests, PyPDF2, langchain, chroma, and any other dependencies required by your project.

⬤ Please do ⭐ the Repository, if it helped you in anyway.

😊 Thankyou !! ✨