ChatBot

Food Recipes Chatbot using Google Gemini

Welcome to the Food Recipes Chatbot repository! This project features a chatbot built with Google Gemini that provides users with delicious and easy-to-follow food recipes.

Table of Contents

• Introduction
• Features
• Technologies Used
• Installation

Introduction

This chatbot is designed to help users discover new recipes and find detailed cooking instructions based on their preferences and available ingredients. Whether you're a seasoned chef or a beginner in the kitchen, our chatbot can assist you in creating amazing dishes.

Features

• Recipe Suggestions: Get personalized recipe suggestions based on your preferences.
• Ingredient-Based Search: Find recipes based on the ingredients you have.
• Step-by-Step Instructions: Follow detailed cooking instructions to create delicious meals.
• User-Friendly Interface: Interact with the chatbot through an easy-to-use interface.

Technologies Used

• Python: Programming language .
• Google Gemini: For natural language understanding and processing.
• LangChain: To build and manage language models and pipelines.
• Pinecone: As a vector database for efficient search and retrieval of recipes.

Installation

To run this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/jayanth119/Bot_Chat.git
   cd Bot_Chat

2. Create and activate a virtual environment:

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

3. Install the dependencies:

   pip install -r requirements.txt

4. Set up the vector database:

   • Follow Pinecone's documentation to set up your vector database and get your API key.
   • Create an .env file in the root directory and add your Pinecone API key:

     PINECONE_API_KEY=your_pinecone_api_key
     

Feel free to customize this template according to your project's specific details and requirements.