AgriGenius Chatbot

AgriGenius is an intelligent chatbot designed to answer agriculture-related questions by fetching content from websites and PDFs, translating text using Google Translate, and leveraging a robust language model. This project uses Python, Flask, RAG, LLM, GENAI, API, LangChain, NLP for the backend, and HTML, CSS, and JavaScript for the frontend.

Features.

• Fetches content from websites and PDFs
• Multi-Language Support
• Answers agriculture-related questions
• Beautiful and user-friendly interface
• Stores conversation history

Tech Stack

• Backend: Python, Flask, RAG, LLM, GENAI, API, LangChain, NLP
• Frontend: HTML, CSS, JavaScript
• Language Model: Meta LLaMA
• Vector Store: Chroma
• Embeddings: SentenceTransformer
• Translation: Google Translate

Prerequisites

• Python 3.8 or higher
• Flask

Installation

1. Clone the repository

   git clone https://github.com/yourusername/agrigenius-chatbot.git
   cd agrigenius-chatbot
   

2. Create a virtual environment and activate it

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
   

3. Install the required packages

   pip install -r requirements.txt
   

4. Create a .env file

   Create a .env file in the root directory of the project and add your Together API key and Google Translate API key:

   API_KEY=your__api_key
   GOOGLE_TRANSLATE_API_KEY=your_google_translate_api_key
   

Usage

1. Run the Flask application

   flask run
   

2. Access the chatbot

   Open your browser and go to http://127.0.0.1:5000 to use the AgriGenius chatbot.

Project Structure

agrigenius-chatbot/
├── app/
│   ├── __init__.py
│   ├── routes.py
│   ├── static/
│   │   ├── css/
│   │   └── js/
│   ├── templates/
│   │   └── index.html
│   └── utils.py
├── .env
├── requirements.txt
├── run.py
└── README.md

Key Files

• app/routes.py: Contains the Flask routes and view functions.
• app/utils.py: Contains utility functions for fetching content, translation, and query handling.
• app/templates/index.html: The main HTML file for the chatbot interface.
• .env: Environment variables file for API keys.
• run.py: The entry point to run the Flask application.

Initial Setup

1. Load environment variables

   from dotenv import load_dotenv
   import os
   
   load_dotenv()
   
   together_api_key = os.getenv('API_KEY')
   google_translate_api_key = os.getenv('GOOGLE_TRANSLATE_API_KEY')
   

2. Initialize the language model

   from some_module import Together  # Replace with the actual import for Together
   
   llm = Together(
       model="meta-llama/Llama-2-70b-chat-hf",
       max_tokens=256,
       temperature=0.1,
       top_k=1,
       together_api_key=api_key
   )
   

Project Demo Video

For a detailed demonstration of the AgriGenius chatbot, you can watch the project video here.

Project Images

Contact

If you have any questions or feedback, please contact us at [kalparatna223@gmail.com].